38 Semantic Kernel Jobs

As a Senior AI Architect at Copper Digital in Gurugram, you will be responsible for leading the design of cutting-edge AI solutions, particularly focusing on Generative AI, RAG models, Computer Vision, and OpenCV. Your role will involve building scalable, AI-driven applications to address complex business challenges. Your key responsibilities will include designing and implementing Generative AI, RAG, and Agentic AI solutions. You should be proficient in LangChain, LlamaIndex, AutoGen, and Semantic Kernel. Additionally, you will be developing recommendation systems, predictive models, and computer vision solutions using CNNs and image processing techniques. You will lead the end-to-end AI lifecycle from POC/MVP to production, leveraging expertise in Python, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, and Google Cloud. Ensuring AI ethics and bias mitigation in model development is also a crucial aspect of your role. Desired skills for this position include a strong background in LLMs like GPT, BERT, LLaMA, and Bloom, as well as experience with classical AI methodologies such as decision trees, SVMs, and reinforcement learning. Proficiency in cloud and data management, along with excellent communication skills to effectively convey complex AI solutions to stakeholders, is highly valued. If you are ready to drive AI innovation, lead impactful projects, and contribute to the advancement of AI technology, we encourage you to apply for this exciting opportunity at Copper Digital in Gurgaon.,

Job Details: Position Title : AI Engineer Azure AI & Copilot Development Job Locatio n: Remote/Hybrid/Onsite Experience : 3-6 years. Job Summary We are looking for an AI Engineer to join our team and help us build intelligent solutions using Azure AI Foundry , Semantic Kernel , and Azure OpenAI . You will work on projects involving large datasets, smart copilots, and AI-driven automation for enterprise use cases. KEY RESPONSIBILITIES: Design and build intelligent agents using Azure AI Foundry and Semantic Kernel . Integrate LLMs (GPT-4, GPT-3.5) with enterprise data using Azure Cognitive Search and vector-based retrieval . Build Retrieval-Augmented Generation (RAG) pipelines to answer complex queries from structured/unstructured data. Develop custom skills, plugins, and workflows using Semantic Kernel Planner and Function Calling . Connect to and query data sources like Azure SQL, Synapse, Cosmos DB , and Data Lake using APIs or SDKs. Collaborate with frontend/backend teams to embed copilots in React or .NET-based applications. Use Azure Functions, Logic Apps, or Power Automate for task automation and backend orchestration. Deploy and secure solutions using Azure App Services, Containers , and Azure AD authentication . SKILLS & QUALIFICATIONS: Hands-on experience with Azure OpenAI , Cognitive Search , and Semantic Kernel . Good understanding of LLM-based agents , prompt engineering, and tool-use workflows. Proficiency in Python or .NET Core for backend development. Familiarity with REST APIs , data transformation , and cloud pipelines . Experience with cloud integration on Azure . Nice to Have Prior experience building copilots, chatbots, or knowledge assistants. Exposure to multi-agent architectures or agentic AI . Microsoft certifications (AI-900, AI-102, DP-203) are a plus. Why Work With Us Work on cutting-edge AI, Agentic AI, and Generative AI solutions. Flexible work setup with a fast-paced innovation culture. Exposure to real-world enterprise challenges and global client projects. Perks & Benefits Health & Accident Insurance Paid Leaves and Sick Leaves Education sponsorship / Certification Reimbursement Free Training Platforms Gym membership EPF, Gratuity.

Roles and Responsibilities: Working along with the Business Analyst, testing teams and coordinating for smooth delivery aligned with business requirements Design, develop, and deploy advanced AI/ML models across NLP, Computer Vision, and Generative AI projects. Research and implement GenAI applications using Azure OpenAI, MS Copilot Studio, Azure AI Foundry, and Azure Cognitive Services. Build agentic AI systems using frameworks like MS Autogen, LangChain, and Semantic Kernel for autonomous workflows and task orchestration. Performing code optimization and identifying potential issues and defects. Adhere to industry standard best practices for AI/ML development, evaluation and deployment, ensuring maintainable, scalable, and secure solutions. Analyzing the technical & functional feasibility of new use cases which needs to be automated Working on test procedures and scenarios for the pre-UAT phases Implementing change requirements supporting a structured change control process Monitoring and working on solving issues on day-to-day basis for the solutions developed and deployed Working with Business Analyst and SME for feasibility analysis Attending meetings for the solution development and problems identified with the solution Capable of taking up complex challenges in AI/ML/GenAI domain Mentor and train fellow COE members to cross skill on AI/ML technologies Knowledge and Skills Requirements: Agile mindset and team player. 5+ years of hands-on experience designing, developing, deploying, and maintaining AI/ML and Data Science solutions. Good to have experience in designing, developing, deploying and supporting UI/UX/Front end for the AI/ML solutions. Solid experience in Python with libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, SpaCy, and OpenCV. Proven expertise in GenAI and Agentic AI using frameworks like MS Autogen, LangChain, Semantic Kernel, and prompt engineering techniques. Strong experience with RAG pipelines, vector stores (e.g., Azure Cognitive Search,), and enterprise knowledge base integration. Proficient in Azure AI ecosystem: Azure Cognitive Services (Language, Vision, Speech), Azure Machine Learning, Azure AI Foundry, and Azure DevOps. Familiar with Git for version control and collaborative development. Strong knowledge and experience using LLM models. Hands on experience in designing, developing, and consuming SOAP/REST APIs Experience with Lean / Agile development methodologies. Capable of delivering on multiple competing priorities with little supervision Good verbal and written communication skills Willing to work in 24/7 shifts.

Time 9:30AM 6:30PM IST About the Role: We are looking for passionate and skilled Software Developers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. You will part of the team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks / ools such as PyTorch and TensorFlow. Demonstrated experience with AI frameworks, tools and Python

Looking for candidates with exp in .net, Gen Ai with Semantic Kernel 8-10 years. Available immediately , no long notice candidates will be preferred

Looking for candidates with exp in .net, Gen Ai with Semantic Kernel 8-10 years. Available immediately , no long notice candidates will be preferred

About the Role We are seeking a Agentic AI Developer with 35 years of total software/AI experience and proven hands-on work in Agentic AI . The ideal candidate has built LLM-powered agents using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel, and can design, deploy, and optimize autonomous AI systems for real-world business use cases. Key Responsibilities Architect, build, and deploy LLM-driven agents that can plan, reason, and execute multi-step workflows. Work with agent orchestration frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, Haystack, etc.). Develop and maintain tools, APIs, and connectors for extending agent capabilities. Implement RAG pipelines with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.). Optimize prompts, workflows, and decision-making for accuracy, cost, and reliability . Collaborate with product and engineering teams to design use-casespecific agents (e.g., copilots, data analysts, support agents). Ensure monitoring, security, and ethical compliance of deployed agents. Stay ahead of emerging trends in multi-agent systems and autonomous AI research . Required Skills 35 years of professional experience in AI/ML, software engineering, or backend development . Demonstrated hands-on experience in building agentic AI solutions (not just chatbots). Proficiency in Python (TypeScript/JavaScript is a plus). Direct experience with LLM APIs (OpenAI, Anthropic, Hugging Face, Cohere, etc.). Strong knowledge of vector databases and embeddings . Experience integrating APIs, external tools, and enterprise data sources into agents. Solid understanding of prompt engineering and workflow optimization . Strong problem-solving, debugging, and system design skills. Nice to Have Experience with multi-agent systems (agents collaborating on tasks). Prior contributions to open-source agentic AI projects . Cloud deployment knowledge ( AWS/GCP/Azure ) and MLOps practices. Background in reinforcement learning or agent evaluation . Familiarity with AI safety, monitoring, and guardrails . What We Offer Work on cutting-edge AI agent projects with direct real-world impact. Collaborative environment with strong emphasis on innovation & experimentation . Competitive salary and growth opportunities. Opportunity to specialize in one of the fastest-growing areas of AI . Show more Show less

You will be joining Argano, the world's largest global digital consultancy, as an innovative Azure AI Architect within the advanced AI engineering team. In this role, you will be at the forefront of applied AI, working on extending Microsoft Copilots, building Retrieval-Augmented Generation (RAG) pipelines, and developing intelligent AI agents for real-world business applications. Utilizing Azure AI Studio, Semantic Kernel, Azure AI Search, and other services across the Microsoft AI stack, you will play a crucial role in designing and implementing cutting-edge Azure AI solutions. Your key responsibilities will include acting as the AI subject matter expert in client engagements, workshops, and solution envisioning sessions; defining architectural patterns for integrating various AI technologies; designing and developing advanced AI pipelines; creating AI agents for dynamic workflows; and overseeing the technical leadership and delivery of AI implementations. You will also collaborate cross-functionally with different teams to align AI solutions with business goals, document technical designs, and stay updated on emerging AI/ML trends and tools to enhance AI initiatives. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience) and at least 5+ years of hands-on AI/ML engineering experience with a focus on Microsoft Azure. Proficiency in Azure AI Studio, Azure OpenAI Service, Azure Cognitive Search/AI Search, Semantic Kernel, LangChain, and strong Python and/or C# skills are required. Experience with Generative AI models, RAG-based applications, and deploying GenAI models in production is highly desirable. In addition to technical skills, you should possess excellent problem-solving and analytical abilities, strong communication and collaboration skills, and the ability to work effectively in a fast-paced, agile environment. Azure certifications, familiarity with REST APIs, Azure Functions, and plugin development, as well as knowledge of Responsible AI principles, prompt safety, and guardrail implementation are also beneficial for this role. Argano is a unique digital consultancy focused on high-performance operations, guiding enterprises through evolving markets with transformative strategies and technologies to drive efficiency, innovation, and growth while exceeding customer expectations. Join us in shaping the future of digital transformation and making a significant impact in the world of AI engineering.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. EY's GDS Tax Technology team's mission is to develop, implement, and integrate technology solutions that better serve our clients and engagement teams. As a member of EY's core Tax practice, you will develop a deep tax technical knowledge and outstanding database, data analytics, and programming skills. The ever-increasing regulations require tax departments to gather, organize, and study more data than ever before. Handling the variety and volume of data efficiently and effectively is often extremely challenging and time-consuming for a company. EY's GDS Tax Technology team members work closely with the firm's partners, clients, and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies, and enable clients with disruptive and market-leading tools supporting Tax. EY is currently seeking a Generative AI Application Developer (.NET) to join our Tax Technology practice in Bangalore & Kolkata, India. **The Opportunity:** We are looking for Tax Seniors with expertise in Full-stack Application Development using .NET C# for Generative AI applications to join the TTT team in Tax Service Line. This is a fantastic opportunity to be part of a pioneer firm while being instrumental in the growth of a new service offering. **Your Key Responsibilities:** - Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/platform development strategy. - Estimate and manage technical efforts, including work breakdown structures, risks, and solutions, while adhering to development methodologies and KPIs. - Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving. - Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process. **Skills and Attributes for Success:** **Must-Have:** - Skilled in full-stack application development with .NET C#, REST Api, React, or any other typescript-based UI frameworks, SQL databases. - Advanced knowledge of Azure services such as Azure app services, Azure Functions, Entra ID, etc. - Containerization - Docker, Azure container apps, Azure Kubernetes Services (AKS). - No-SQL database such as Cosmos or MongoDB. - Working experience with source control such as git or TFVC. - CI/CD pipelines, Azure DevOps, GitHub Actions, etc. - Generative AI application development with Azure OpenAI, Semantic Kernel, and Vector databases like Azure AI search, Postgres, etc. - Fundamental understanding of various types of Large Language Models (LLMs). - Fundamental understanding of Retrieval Augment Generation (RAG) techniques. - Fundamental understanding of classical AI/ML. - Skilled in Advanced prompt engineering. **Nice-to-Have:** - Awareness about various AI Agents/Agentic workflow frameworks and SDKs. - Graph Database such as Neo4j. - Experience with M365 Copilot Studio. - Microsoft Azure AI-900/AI-102 Certification. **Behavioural Skills:** - Excellent learning ability. - Strong communication skills. - Flexibility to work both independently and as part of a larger team. - Strong analytical skills and attention to detail. - The ability to adapt your work style to work with both internal and client team members. **To qualify for the role, you must have:** - Bachelor's/master's degree in software engineering/information technology/BE/B.TECH. - Overall 5-9 years of experience. **Ideally, you'll also have:** - Thorough knowledge of Tax or Finance Domain. - Strong analytical skills and attention to detail. EY offers a dynamic and truly global delivery network with opportunities to work with well-known brands from across the globe. You will collaborate with EY teams on exciting projects, develop your skills and insights, and be a part of a diverse and inclusive culture where you can make a meaningful impact your way. EY is committed to building a better working world by creating long-term value for clients, people, and society and building trust in the capital markets. Join us on this journey to ask better questions and find new answers to the complex issues facing our world today.,

We are searching for a Senior Software Engineer in AI who possesses more than 3 years of practical experience in Artificial Intelligence and Machine Learning and has a strong enthusiasm for innovation. This position is perfect for an individual who excels in a startup setting that is fast-paced, product-oriented, and filled with opportunities to create a meaningful difference. Your main responsibility will be to contribute to the development of intelligent, scalable, and production-ready AI systems, with a particular emphasis on Generative AI and Agentic AI technologies. Key Responsibilities: - Developing and implementing AI-powered applications and services, with a focus on Generative AI and Large Language Models (LLMs). - Designing and executing Agentic AI systems that consist of autonomous agents capable of planning and executing multi-step tasks. - Collaborating with various teams such as product, design, and engineering to seamlessly integrate AI capabilities into products. - Crafting clean, scalable code and establishing robust APIs and services to facilitate the deployment of AI models. - Taking charge of feature delivery from start to finish, including research, experimentation, deployment, and monitoring. - Keeping abreast of the latest AI frameworks, tools, and best practices and leveraging them in product development. - Contributing to a culture of high performance within the team and providing mentorship to junior team members when necessary. Required Skills: - A total of 6 years of software development experience, with at least 3 years dedicated to AI/ML engineering. - Proficiency in Python, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). - Demonstrated expertise in working with LLMs (e.g., GPT, Claude, Mistral) and various Generative AI models (text, image, or audio). - Practical knowledge of Agentic AI frameworks such as LangChain, AutoGPT, and Semantic Kernel. - Experience in constructing and deploying ML models in production environments. - Familiarity with vector databases like Pinecone, Weaviate, FAISS, and prompt engineering concepts. - Comfortable operating in a startup-like atmosphere - self-driven, adaptable, and eager to take on responsibilities. - Sound understanding of API development, version control, and contemporary DevOps/MLOps procedures. This is a permanent position that requires in-person work.,

The role of an AI Architect involves leading the design and development of intelligent enterprise solutions powered by Microsoft Copilot, Azure AI, and agentic frameworks. This position presents a unique opportunity to influence the application of AI in practical business scenarios by integrating large language models, natural language interfaces, and multi-step intelligent workflows into enterprise systems. If you are enthusiastic about creating human-like, context-aware digital agents capable of automating, orchestrating, and transforming workflows, this role is tailored for you. Responsibilities include architecting and implementing AI solutions using Microsoft 365 Copilot, designing and developing agentic workflows across Microsoft 365 and Azure ecosystems, building use cases for various domains using agentic frameworks, creating extensible copilots by integrating enterprise data through various frameworks, designing natural language-driven user experiences, collaborating with cross-functional teams to transform requirements into scalable solutions, defining and promoting standards for prompt engineering, responsible AI, security, and performance optimization, and staying updated on Microsoft's AI roadmap and evolving capabilities. The ideal candidate for this role should have experience in building intelligent applications using REST APIs and SDKs, integrating AI into enterprise workflows and business logic, and working collaboratively with data scientists, architects, and engineering teams. Additionally, the candidate should possess a total of 10-15 years of IT industry experience, with a minimum of 4+ years in Azure AI solutions, enterprise architecture, or AI/ML-focused development roles. Preferred certifications include Azure AI Engineer Associate (highly recommended) and Azure Solutions Architect Expert (good to have). If you are a forward-thinking individual with a passion for AI and a strong background in Azure AI solutions, this role offers a platform to drive innovation and make a significant impact in the field of artificial intelligence.,

Senior GenAI & Agentic AI Expert (Architect) Relocation to Abu Dhabi, UAE Location: Abu Dhabi Client: Abu Dhabi Government About The Role Our client, a global consulting firm with distributed teams across the US, Canada, UAE, India, and PK, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has a total of 12 to 20+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to relocation to UAE Why Join Work on UAE Government project(s) Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and PK Competitive compensation + long-term career roadmap Skills: memory/context management,apis integration,enterprise-grade security,crewai,saas products integration,aws,semantic kernel,prompt engineering,openai,node.js,multi-agent systems,azure,databases integration,gemini,cost efficiency,embedding models,rag,autogpt,performance optimization,llm frameworks,agentic ai,generative ai,langchain,gcp,python,vector databases Show more Show less

As a Senior Software Engineer AI at Techvantage.ai, a pioneering technology and product engineering company specializing in Generative AI, Agentic AI, and autonomous intelligent systems, you will be an integral part of our innovative team. With a minimum of 3 years of hands-on experience in Artificial Intelligence/Machine Learning, you will contribute to the development of cutting-edge solutions that are designed to adapt and scale alongside the advancements in artificial intelligence. In this role, you will be immersed in a fast-paced startup environment that is product-driven and offers ample opportunities to drive real impact. Your primary focus will be on building sophisticated AI systems that are intelligent, scalable, and production-ready, with a particular emphasis on Generative AI and Agentic AI technologies. Your responsibilities will include building and deploying AI-driven applications and services, with a specific focus on Generative AI and Large Language Models (LLMs). You will design and implement Agentic AI systems, autonomous agents capable of planning and executing multi-step tasks. Collaboration with cross-functional teams, including product, design, and engineering, will be crucial as you integrate AI capabilities into various products. Additionally, you will be expected to write clean and scalable code, develop robust APIs and services to support AI model deployment, and take ownership of feature delivery from research and experimentation to deployment and monitoring. Keeping abreast of emerging AI frameworks, tools, and best practices will be essential for your role, as you apply them in product development. Moreover, contributing to a high-performing team culture and mentoring junior team members when necessary will be part of your responsibilities. To excel in this role, you should possess at least 3 years of overall software development experience, with a specific focus on AI/ML engineering. Proficiency in Python is a must, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Your experience with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio) will be highly valued. Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel), as well as experience in building and deploying ML models to production environments, will be beneficial. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts, coupled with the ability to thrive in a startup-like environment, will set you up for success in this role. A solid understanding of API development, version control, and modern DevOps/MLOps practices is also essential. If you are a motivated individual who is passionate about innovation and eager to contribute to cutting-edge AI solutions, we encourage you to share your updated CV with us at amarragi@affable.in or contact us at 9048151003. This is a full-time position that offers a unique opportunity to be at the forefront of AI innovation and product development.,

As a ML Specialist GenAI at Claidroid Technologies Pvt. Ltd., your primary responsibility will be to design, develop, and deploy scalable Generative AI systems. This role involves implementing LLM agents, RAG architectures, and MLOps pipelines, and managing the full GenAI product lifecycle. You will lead AI developers, build solutions using LLMs, Diffusion Models, and GenAI agents, and fine-tune models with LangChain, LangGraph, and promptflow. Deployment will utilize Azure, containerization, and CI/CD practices. It will be your duty to ensure model observability, optimize performance and cost, apply ethical AI principles, and effectively communicate insights to stakeholders. This position is based in Pune/Trivandrum with options for WFH/Hybrid, working from 11 AM to 8 PM IST, suitable for candidates with under a 30-day notice period. To excel in this role, you should possess 5-10 years of experience in ML Engineering and Generative AI. Proficiency in technologies like LLMs, RAG, Prompt Engineering, LangChain, LangGraph, promptflow, and Autogen is essential. Strong skills in Python, PyTorch/TensorFlow, FastAPI, and AsyncIO are required. Experience with CI/CD pipelines (specifically GitHub Actions), Docker, Kubernetes, Azure cloud services (preferred), or AWS/GCP is advantageous. Additionally, expertise in MLOps, model deployment, monitoring, performance tuning, and understanding of Responsible AI principles, bias mitigation, and model explainability are crucial for this role. Claidroid Technologies is a leader in digital transformation, specializing in Enterprise Service Management and Enterprise Security Management solutions. With headquarters in India and offices in Helsinki, Finland, and the USA, we aim to deliver bespoke services to a wider audience globally. Joining our team offers competitive compensation, a hybrid working model, generous benefits such as comprehensive health insurance and performance bonuses, as well as ample opportunities for career growth in a dynamic and innovative environment. Be part of our collaborative and inclusive work culture that values your contributions and supports your professional development.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Manager Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML), Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise, strong analytical capabilities, and a proven ability to work in a collaborative and innovative environment. Responsibilities: Architecture Design: Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development And Deployment: Fine-tune pre-trained generative models for domain-specific use cases. Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation And Strategy: Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Good exposure to Agentic Design patterns Collaboration And Leadership: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Mentor and guide team members on AI/ML best practices and architectural decisions. Should be able to lead a team of data scientists, GenAI engineers and Software Developers Performance Optimization: Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical And Responsible AI: Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory Skill Set: Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Should have strong knowledge on LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Models like Llama 3.2, Phi etc. Proven track record with event-driven architectures and real-time data processing systems. Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. Knowledge of containerization technologies such as Kubernetes and Docker. Comprehensive understanding of data lakes and strategies for data management. Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. Proficiency in cloud computing platforms such as Azure or AWS. Exceptional leadership, problem-solving, and analytical abilities. Superior communication and collaboration skills, with experience managing high-performing teams. Ability to operate effectively in a dynamic, fast-paced environment. Preferred Skill Set: Experience with additional technologies such as Datadog, and Splunk. Programming languages like C#, R, Scala Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Year Of Experience Required: 9-12 years Education Qualification BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Coaching and Feedback, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting + 29 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,

About the Role We are seeking a BI Architect to advise the BI Lead of a global CPG organization and architect an intelligent, scalable Business Intelligence ecosystem. This includes an enterprise-wide KPI dashboard suite augmented by a GenAI-driven natural language interface for insight discovery. The ideal candidate will be responsible for end-to-end architecture: from scalable data models and dashboards to a conversational interface powered by Retrieval-Augmented Generation (RAG) and/or Knowledge Graphs. The solution must synthesize internal BI data with external (web-scraped and competitor) data to deliver intelligent, context-rich insights. Key Responsibilities • Architect BI Stack : Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.). • Advise BI Lead : Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities. • Design GenAI Layer : Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally. • RAG/Graph Approach : Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights. • External Data Integration : Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights. • Security & Governance : Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards. • Cross-functional Collaboration : Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization. Qualifications • 69 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based solutions. • Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. • Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). • Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus. • Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. • Familiarity with web scraping and structuring external/third-party datasets. • Prior experience in CPG domain or large-scale KPI dashboarding preferred.

The role involves working on Agentic AI Platform Delivery where you will be responsible for developing and maintaining autonomous software agents using modern LLM frameworks. You will also be required to build reusable components for business process automation, design agent orchestration, prompt engineering, and LLM integrations, as well as enable deployment across CRM systems and enterprise data platforms. Additionally, you will work on Generative AI & Model Optimization by fine-tuning LLMs/SLMs with proprietary NBFC data, and focusing on model distillation, quantization, and edge deployment readiness. Moreover, you will be creating self-learning systems by developing adaptive frameworks that learn from interaction outcomes and implementing lightweight models to support real-time decision-making. The ideal candidate for this position should hold a B.E./B.Tech/M.Tech degree in Computer Science or a related field, with a minimum of 3-7 years of experience in AI/ML roles. Proficiency in languages such as Python, Node.JS, JavaScript, React, and Java is required, along with experience in using tools/frameworks like LangChain, Semantic Kernel, LangGraph, and CrewAI. Familiarity with platforms such as GCP, MS Foundry, Copilot Studio, BigQuery, and Power Apps/BI is essential. Knowledge of Agent Tools like Agent Development Kit (ADK) and Multi-agent Communication Protocol (MCP), as well as a strong understanding of prompt engineering, LLM integration, and orchestration, are also expected. In addition to the technical requirements, the candidate should possess strong communication skills, teamwork abilities, and problem-solving capabilities. Being proactive, detail-oriented, and able to work under pressure are desirable traits for this role. Joining this dynamic team at Bajaj Finance Limited offers numerous perks, benefits, and a vibrant work culture. The company values its employees and recognizes their contributions, making it a rewarding and challenging environment to grow and excel. With a presence in over 500 locations across India, you will have the opportunity to be part of one of Asia's top 10 Large workplaces and contribute to the success and innovation of a leading Non-banking financial company.,

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,

As a GenAI Engineer, you will be responsible for architecting and developing Generative AI-based applications using Azure OpenAI, Azure ML Studio, Azure Cognitive Search, and Azure Document Intelligence. Your role will involve building and optimizing Retrieval-Augmented Generation (RAG) pipelines for enterprise search, knowledge management, and domain-specific Q&A systems. You will integrate Large Language Models (LLMs) into production applications while ensuring performance, scalability, and governance. Designing intelligent workflows using LangChain, LlamaIndex, and Semantic Kernel for orchestrating multi-step AI interactions and agent behaviors will be a key aspect of your responsibilities. Collaboration with data scientists, ML engineers, and DevOps to deploy, monitor, and manage cloud-native AI solutions is essential. Additionally, you will incorporate OCR capabilities and document understanding pipelines using Azure Form Recognizer and Document Intelligence, ensuring compliance with enterprise standards, data privacy, and responsible AI principles. Leading proof-of-concepts (PoCs), rapid prototypes, and solution demos to validate GenAI use cases across departments is also part of your role. Maintaining a strong understanding of evolving LLM architectures, foundation models, and emerging GenAI techniques, as well as contributing to technical documentation, best practices, and reusable solution accelerators, are crucial aspects of the job. The ideal candidate for this position should hold a Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience with Azure AI services, including Azure OpenAI, Azure Machine Learning Studio, Azure Cognitive Search, and Azure Form Recognizer / Document Intelligence is required. Strong Python development skills, especially in the context of LLM pipelines and prompt engineering, are essential. Expertise with GenAI libraries and tools such as LangChain, LlamaIndex, and Semantic Kernel is highly desirable. Familiarity with RAG architecture, vector databases (e.g., FAISS, Redis, Azure Cognitive Search), and embedding models is a plus. Experience with containerization (Docker) and cloud-native deployment pipelines using Azure DevOps, Kubernetes, or Terraform is preferred. An understanding of Responsible AI principles, including bias mitigation, explainability, and model monitoring, is necessary. Excellent problem-solving and communication skills are also required, along with the ability to work in cross-functional agile teams. Preferred qualifications for this role include experience integrating agent-based frameworks for autonomous task execution and multi-agent collaboration, as well as knowledge of other GenAI ecosystems like Hugging Face Transformers, Anthropic Claude, or Mistral models. A background in enterprise content management, knowledge graphs, or intelligent document processing (IDP) would be beneficial. Azure certifications such as Microsoft Certified: Azure AI Engineer Associate and Microsoft Certified: Azure Solutions Architect Expert are a plus. In return, we offer you the opportunity to work on groundbreaking AI initiatives at an enterprise scale. You will be part of a collaborative, fast-paced, and innovation-driven team culture, with flexible work arrangements (remote/hybrid), competitive compensation, equity options, and comprehensive benefits.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

We are seeking a Generative AI Engineer with 712 years of experience for a 12-month hybrid engagement (2 days onsite) in Bengaluru, Chennai, Hyderabad, Pune, or Vadodara. The candidate will develop enterprise-grade, cloud-native GenAI applications leveraging Azure OpenAI, Azure Cognitive Services, Azure ML Studio, and Azure Document Intelligence. Proficiency in implementing LLMs, RAG pipelines, OCR, and agent-based frameworks using LangChain, LlamaIndex, and Semantic Kernel is critical. The engineer should have experience in deploying scalable AI solutions across production environments. This role demands a mix of technical depth and applied AI implementation with strong delivery ownership and a problem-solving mindset. Location - Bengaluru, Chennai, Hyderabad, Pune, Vadodara (Hybrid 2 days WFO)

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. We're seeking a skilled Custom Copilot engineer to join the group of our NCLC Consulting team. You'll be instrumental in designing, developing, and deploying robust, scalable applications leveraging the power of Microsoft Azure and generative AI. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your Key Responsibilities: - Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills. - Performs coding, debugging, testing, and troubleshooting throughout the development process contributing to moderately complex aspects of a project. - Maintains and enhances systems by fixing complicated errors, raising risks, and escalating issues where necessary. - Works with users to capture detailed requirements, translating designs and solution architecture into design specifications. - Monitors and reports on potential risks/opportunities of emerging technologies and seeks areas for continuous improvement. - Ensures all activities adhere to the relevant processes, procedures, standards, and technical design. - Develops and promotes best practices for usage, operations, and development. - Strong analytical and communication skills with an intense drive to learn and adopt. Skills and attributes: - Design and customize robust AI solutions leveraging Azure AI Services including Azure AI Document Intelligence, Azure AI Vision, Azure AI Language, Azure AI Translator, and Azure OpenAI Service. - Build custom AI Agents through Copilot Studio and/or Azure AI Foundry through a plugin architecture, API function calling, logic apps, storage of prompts, conversation history (Azure Cosmos DB), Azure Key Vault, Container Apps, Blob Storage, Cosmos DB. - Implement intelligent solutions using SDKs like Azure AI Foundry, AutoGen, LangChain, and Semantic Kernel. - Design multi-step prompt workflows, leverage RAG patterns to integrate LLMs with enterprise data, design intelligent agents that are task-based and/or role-based by using responsible AI principles. - Design and implement solutions on Microsoft Azure, including Azure Functions, Azure App Service, logic Apps, Azure SQL Database, Azure Cosmos DB, and Azure Foundry. - Fine-tune and optimize AI models by selecting the most appropriate architectures for performance and efficiency. - Knowledge of cloud computing and Azure infrastructure. - Craft precise and effective prompts to guide AI models and improve their outputs. - Monitor and analyze Azure AI costs to ensure efficient resource utilization. - Develop and integrate custom tools within AI agents to extend their capabilities. - Demonstrate strong expertise in Azure AI Foundry and prompt engineering for building declarative and multi-modal agents. - Integrate AI-powered features into full-stack web applications to improve user experience and efficiency. - Collaborate with data scientists and machine learning engineers to deploy AI models into production. - Stay up-to-date with the latest advancements in .NET Core, Azure, and AI technologies. - Adhere to best practices for software development, including code reviews, unit testing, and continuous integration/continuous delivery (CI/CD) and MLOps. Required Skills and Experience: - Overall 4+ years of experience in Azure, .NET Core, Python, and M365 suite of products. - Min 2 years of experience in developing Generative AI applications using Azure OpenAI. - Proficiency in languages like C#, Python, JavaScript, and TypeScript. - Strong proficiency in Microsoft Azure, including Azure Functions, Azure App Service, Azure SQL Database, Azure Cosmos DB, and Azure AI Studio. - Hands-on experience with generative AI technologies, such as OpenAI and Large Language Models (LLMs). - Proficiency in prompt engineering and fine-tuning AI models and developing applications for RAG applications. - Experience of front-end technologies like HTML, CSS, and JavaScript (React or Angular) for full-stack web application development. - Understanding of CI/CD pipelines and DevOps practices. - Strong problem-solving, analytical, and communication skills. - Ability to work independently and as part of a team. Desired Skills: - Knowledge of Low-code technologies like Logic Apps, Microsoft Power Platform (Power Apps, Power Automate) is good to have. - Understanding of cloud-native development principles and microservices architecture. - Experience with containerization technologies like Docker and Kubernetes. - Understanding of security best practices for cloud applications. To qualify for the role, you must have: - A bachelor's or master's degree. - A minimum of 4+ years of experience, preferably a background in a professional services firm. - Strong knowledge with M365 Suite of products. - Excellent communication skills with consulting experience preferred. Ideally, you'll also have: - Analytical ability to manage multiple projects and prioritize tasks into manageable work products. - Can operate independently or with minimum supervision. What Working At EY Offers: At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a Better Working World: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We create intelligent, user-first digital products that redefine industries through the power of AI and engineering excellence. We are looking for a Senior Software Engineer-AI with 4-6 years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment, fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. As a Senior Software Engineer-AI at Techvantage.ai, you will be responsible for building and deploying AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). You will design and implement Agentic AI systemsautonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-endfrom research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. In order to excel in this role, we are seeking candidates with 3-6 years of overall software development experience, with at least 3 years specifically in AI/ML engineering. Strong proficiency in Python is required, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio) is highly desirable. Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel) is a plus. Experience building and deploying ML models to production environments is essential. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts is beneficial. Comfortable working in a startup-like environment is crucialself-motivated, adaptable, and willing to take ownership. A solid understanding of API development, version control, and modern DevOps/MLOps practices is expected from the ideal candidate.,

Job Title: GenAI Engineer (with Azure and GCP ecosystems) Duration: Full time role Location: Pune (Hybrid) Need someone who can join immediately OR at least in 30 days. Need someone who can join immediately OR at least in 30 days. Job description: GenAI Engineer with Azure and GCP ecosystems Skilled in Building complex GenAI solutions with high accuracy and complex use cases Skilled in Agentic platforms from procode (e.g. Autogen, Semantic Kernel, LangGraph) to Low Code (e.g. Crew.ai/EMA.ai). Skilled in Azure OpenAI and Google Vertex AI ecosystems and tooling (from training model, advance prompting, Assistant API, to agent curation). Fluent in Python, Llamaindex, Langchain, or other GenAI packages. Strong problem-solving skills and attention to details