122 Azure Openai Jobs - Page 5

Customize Llama or leverage OpenAI to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Full Stack Data Scientist In this role, the person is responsible for transforming business requirements into valuable insights that drive decision-making in organizations. He/She is expected to handle the entire data science process, from data collection to model deployment and maintenance. Responsibilities: Experience in Large Language Models (LLMs) with deep dive into Generative AI applications using Python to optimize platform functionalities Good exposure with implementing robust CI/CD automation and orchestration using tools like Azure DevOps Research and implement appropriate AI/ML algorithms and tools for developing machine learning applications to requirements Design and implementation of the overall web architecture with real time exposure of developing REST APIs Good command for designing and building the entire stack for speed and scalability Good exposure for building models, algorithms, simulations and performance evaluation by writing highly optimized, deployable code using AI-ML technologies Exposure with building solutions for data discovery, data acquisition, data processing cleaning, data integration, data interpretation Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification, validation, and monitoring of AI/ML models Involve with stakeholders to analyse for solving business problems using Machine learning/ Artificial Intelligence solutions for deployment on a cloud platform Alignment with industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready Understanding customer pain points, business requirements and developing models that help to achieve them, along with metrics to track their progress Commanding exposure with scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling and data technologies Perfectly collaboration of product, data science, and other stakeholders to translate business needs into powerful technical solutions Requirements Bachelor's degree in computer science, Engineering, Mathematics, Statistics or a related field Significant good exposure in Python/R with at least 5+ years of experience developing and deploying ML and DL models Familiarity with algorithms both in supervised and un-supervised learning Should have significant command of Generative AI, Microsoft OpenAI platform (Azure OpenAI), GPTs, LLMs concepts and techniques with solid hands-on experience Exposure at implementing CI/CD pipelines to streamline development and deployment Expertise with hands on experience in Vector Databases for semantic search, Advanced RAG approaches for LLM models Very Good experience in Machine Learning, Deep Learning, Computer Vision, NLP with model architecture Expertise in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn etc Exposure in modular, typed, and object-oriented Python programming Familiar with the core data science languages (such as Python, R, Scala) and with data systems (e.g.SQL, NoSQL) Excellent communication skills with a desire to work in multidisciplinary teams Expert for analysing the errors of the model and designing strategies to overcome them Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Hiring an AI-focused developer with expertise in Node.js, API integration (Azure OpenAI, RAG, parameter tuning), and AI pipeline optimization. Bonus: MCP knowledge & experience with image analysis. AI Developer Required Candidate profile AI Developer with 2+ years' experience in Node.js, Azure OpenAI, RAG, API integration, and AI pipelines. Bonus: MCP knowledge & image analysis (OpenAI/Anthropic).

Senior Engineer: The T C A practice has experienced significant growth in demand for engineering & architecture roles from CST, driven by client needs that extend beyond traditional data & analytics architecture skills. There is an increasing emphasis on deep technical sk ills like s uch as strong ex pertise i n Azure, Snowflake, Azure OpenAI, and Snowflake Cortex, along with a solid understanding of their respective functionalities. In dividual w ill work on a robust pipeline of T C A-driven projects with pharma clients . This role offers significant opportunities for progression within the practice. What Youll Do Opportunity to work on high-impact projects with leading clients. Exposure to complex and technological initiatives Learning support through organization sponsored trainings & certifications Collaborative and growth-oriented team culture. Clear progression path within the practice. Opportunity work on latest technologies Successful delivery of client projects and continuous learning mindset certifications in newer areas Contribution to partner with project leads and AEEC leads todeliver complex projects & growTCA practice. Development of experttech solutions for client needs with positive feedback from clients and team members. What Youll Bring 3- 4 years of experience in RDF ontologies, RDF based knowledge graph (Anzo graph DB preferred), Data modelling, Azure cloud and data engineering Understanding of ETL processes, Data pull using Azure services via polling mechanism and API/middleware development using Azure services. Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus.

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Overview We are seeking an experienced Reporting GenAI Consultant with a strong background in developing AI-driven reporting solutions. This role focuses on building and integrating Generative AI capabilities into BI platforms to enable natural language insights, automated report generation, and interactive dialogue with data. The ideal candidate will have hands-on experience working with LLMs, prompt engineering, and modern data visualization tools. Responsibilities Design, develop, and deploy GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics using structured and unstructured data. Build natural language interfaces and conversational agents for querying data (Dialogue with Data), enabling users to interact with reports through plain English. Integrate GenAI features (like ChatGPT, Azure OpenAI, or Vertex AI) with enterprise BI platforms (Power BI, Tableau, Qlik, ThoughtSpot, etc.). Implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. Collaborate with data engineering and BI teams to optimize data models and ensure clean, prompt-ready datasets. Design and fine-tune prompts and templates for contextual report summarization and storytelling . Conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. Ensure solutions are secure, scalable, and compliant with enterprise governance policies. Qualifications 10+ years of experience in Business Intelligence / Analytics with 12 years in Generative AI implementations . Strong experience in Power BI with exposure to augmented analytics features. Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, Google PaLM, etc.) for natural language understanding and summarization. Expertise in prompt engineering , few-shot learning, and custom summarization models. Good understanding of data storytelling , narrative generation , and auto-generated insights . Experience in integrating APIs for AI models into web or reporting tools. Familiarity with Python or JavaScript for model integration and backend logic. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with RAG (Retrieval-Augmented Generation) , LangChain , or similar frameworks. Exposure to voice-based analytics or speech-to-insight solutions. Knowledge of data governance, privacy (GDPR/CPRA) , and enterprise security standards . Familiarity with cloud platforms : Azure.

Sr. Principal IT Engineer, Digital Workplace This role is Office Based, Pune/Hyderabad, India Office Cornerstone OnDemand is looking for a Digital Solutions Engineers who will closely work with the Digital Workplace Tools (DWT) Lead to deliver solutions to enhanced digital workspace experience around: Azure AI Foundry, Azure ML and overall M365 suite of Apps including SharePoint - Document Management & Intranet as well as Power Platform. You will be responsible for designing, developing, and maintaining our SharePoint environment, as well as leveraging the Microsoft Power Platform and Azure AI to create powerful solutions for our business needs. In this role you will... Drive innovation through hands-on development of AI-powered solutions architecture, incorporating Azure OpenAI, Azure Agentic AI, Azure AI Document Intelligence, and Azure ML to create intelligent automation and data processing capabilities. Design, implement, and deliver comprehensive Microsoft 365 enterprise strategy through hands-on development, encompassing SharePoint, Teams, Power Platform, Azure, and Azure AI solutions - including COE (Center of Excellence) framework, governance models, security architecture, and integration patterns aligned with business objectives. Architect and actively develop modern intelligent workplace solutions leveraging Microsoft 365 ecosystem, focusing on scalable and sustainable intranet portals, collaboration frameworks, and enterprise content management systems. Design and implement enterprise integration patterns and reference architectures for seamless connectivity between SharePoint, Microsoft 365 suite, and third-party enterprise applications. Establish and maintain architectural standards and best practices for SharePoint security, compliance, and governance, including disaster recovery and business continuity planning through practical implementation experience. Create and implement architectural blueprints for responsive and modern SharePoint experiences, including information architecture, site hierarchies, and templates that align with organizational taxonomy. Develop technical vision and roadmap for SharePoint-based solutions, with hands-on expertise in modern development frameworks (SPFx), microservices architecture, and cloud-native patterns. Design and build scalable integration architectures utilizing Microsoft Graph API, REST services, and modern authentication protocols to enable secure and efficient cross-platform solutions. Establish and implement front-end architecture standards incorporating modern web technologies (HTML5, TypeScript, React) and responsive design patterns for optimal user experience across devices. Architect and develop comprehensive SharePoint information management solutions including metadata frameworks, content types, and taxonomy models that support enterprise search and knowledge management. Lead technical strategy sessions and provide architectural guidance to development teams, stakeholders, and clients while mentoring junior architects and senior developers. Demonstrate strong hands-on expertise across the entire Microsoft 365 and Azure stack to effectively design, develop, and deliver enterprise solutions while maintaining architectural integrity. You Have What It Takes If You Have... Requirements: Bachelors degree in computer science or software engineering or relevant experience 8+ years of comprehensive Microsoft technology stack experience, with deep expertise in architecting M365 enterprise solutions Technical Expertise: Proven track record in designing and implementing enterprise-scale Microsoft 365 architectures, including SharePoint, Teams, Power Platform, and Azure solutions Expert-level understanding of cloud architecture patterns, focusing on Azure infrastructure design, resource optimization, and enterprise security models Deep expertise in Microsoft 365 security architecture, including advanced identity management, conditional access, data protection, and compliance frameworks Advanced proficiency in Microsoft Graph API architecture and enterprise integration patterns Expert-level experience in automation and DevOps practices using PowerShell, Azure DevOps, and Infrastructure as Code Strong architectural expertise in Azure services, including Azure AI, Cognitive Services, OpenAI implementation, and cloud-native application design Demonstrated mastery in Power Platform architecture, focusing on cross-environment ALM strategies, solution management, and governance frameworks Good to have knowledge of multi-cloud AI services integration like AWS, GCP, Snowflake Leadership & Business Acumen: Proven experience in translating business requirements into scalable enterprise architecture solutions Strong track record of leading architectural decisions and driving technical strategy across large-scale projects Extensive experience in enterprise UI/UX architecture and accessibility standards Demonstrated success in client-facing roles, with ability to communicate complex architectural concepts to diverse stakeholders Experience in architecting business-critical applications, data flows, and large-scale migration strategies Professional Qualities: Strategic mindset with ability to drive innovation while maintaining enterprise architecture standards Exceptional problem-solving abilities with focus on scalable, future-proof solutions Strong project and portfolio management experience, including risk assessment and mitigation strategies Deep understanding of enterprise security, privacy, and compliance requirements Proven ability to mentor teams and drive technical excellence Demonstrated leadership in promoting inclusive, diverse work environments and driving collaborative success Experience in establishing and maintaining architecture governance frameworks and best practices

JobOpening | #Lead Azure DotNet | #GenAI | #PoCs | #Remote Location : India (Remote/Hybrid) Experience : 6+ Years Job Summary: Seeking a Lead Engineer with Azure, .NET, and GenAI tools expertise for running PoCs and tool evaluations. Must-Have Skills: Hands-on with Copilot, Codex, Cursor AI, Qodo, Azure OpenAI Strong in C# / Python / JavaScript / Java Code review, automation, refactoring, testing Lead Proof of Concept (PoC) development and technical evaluations Collaborate with cross-functional teams to implement GenAI tooling

Job description * Role & Responsibilities: Design, develop and maintain scalable, robust .NET Core Web APIs. Build dynamic, responsive, and interactive web UIs using Angular/React. Collaborate closely with UI/UX designers, backend developers, and product managers. Work on Azure Cloud development including services like Azure Cognitive Search, Azure Open AI, Azure AI Search. Mentor junior developers and participate in code reviews. Ensure high performance, security, and responsiveness of applications. Deliver quality code with minimal defects, on-time and aligned with business objectives. Communicate effectively with stakeholders and demonstrate ownership of deliverables. Contribute to innovation and improvement of development processes. Adapt to changing requirements and demonstrate proactive problem solving. Preferred Candidate Profile: hands-on experience in full-stack development using .Net Core, Web API, Angular/React. 2+ years of hands-on experience with front-end technologies (JavaScript, HTML, CSS). Strong experience with Azure cloud and various Azure services (minimum 2 years). Knowledge of Generative AI or Azure OpenAI services is a strong plus. Strong problem-solving skills, attention to detail, and a proactive mindset. Excellent communication and collaboration skills.

Dear Candidates, Greetings!! seeking a Senior AI Architect with deep expertise in architecting and delivering end-to-end AI solutions on the cloud, including hands-on experience in Generative AI and Large Language Models (LLMs). Required Qualifications: 10+ years of experience in designing and delivering enterprise-grade AI/ML solutions. 2+ years of active experience in Generative AI, with strong exposure to LLMs, agent architectures, and vector-based search. Proven track record in delivering AI solutions on Azure, especially using Azure OpenAI, OpenAI GPT models, and other cloud-native ML tools. Deep experience with open-source LLMs, Hugging Face, and integration of custom/tuned models. Strong programming skills in Python, familiarity with ML frameworks like PyTorch, TensorFlow, and tools like LangChain, LlamaIndex. Practical experience implementing AI Governance, ML Ops/LLM Ops, and Responsible AI standards in real-world deployments. Proven ability to engage clients on technical strategy, architecture design, and solution trade-offs across performance, cost, and security. Experience creating AI/Gen AI thought leadership (whitepapers, blogs, reusable assets).

Job Overview: We are looking for an experienced AI Architect to lead solution design and development efforts in the areas of Agentic AI and Retrieval-Augmented Generation (RAG) . The ideal candidate will have strong experience working with large language models (LLMs), building intelligent applications using frameworks like LangChain or LlamaIndex, and designing scalable AI pipelines. Key Responsibilities: Design and implement RAG-based systems combining LLMs with vector databases and internal document sources. Build task-based AI agents (e.g., chatbots, assistants) that can perform multi-step operations and integrate with external tools or APIs. Develop and maintain prompt templates , embedding pipelines, and orchestrators using frameworks like LangChain, LlamaIndex , etc. Work with data and ML teams to connect AI applications with enterprise knowledge sources (SharePoint, Confluence, databases, etc.). Evaluate and integrate embedding models , vector databases (FAISS, Pinecone, Chroma), and LLM APIs (OpenAI, Azure OpenAI, etc.). Collaborate with cross-functional teams to identify use cases, define architecture, and deliver PoCs or MVPs. Contribute to CoE documentation, reusable components, and architecture patterns for RAG and agent-based solutions. Required Skills: 35 years of hands-on experience in Python with exposure to building AI/NLP applications. Practical experience with LLM tools like LangChain, LlamaIndex , or equivalent. Experience building RAG systems using vector stores and document loaders. Familiarity with LLM APIs such as OpenAI, Cohere, or HuggingFace models. Understanding of prompt design , embedding models (e.g., OpenAI, BGE, SentenceTransformers). Working knowledge of REST APIs , JSON , and integrating AI agents with backend systems.

Role & responsibilities We are looking for a hands-on and technically strong Azure AI & Integration Specialist to design and implement cutting-edge AI-powered applications. The ideal candidate should have deep experience with Azure AI services , Prompt Flows , Generative AI models (Azure OpenAI, GPT, Claude) , Document Intelligence , and be capable of building modern web applications using React.js and Python . You will also be responsible for provisioning and managing Azure resources, building scalable APIs, and integrating enterprise platforms through Graph and REST APIs. Key Responsibilities Generative AI & Prompt Flows Design conversational and automation flows using Prompt Flow in Azure AI Studio . Build and optimize prompts for Azure OpenAI (GPT-3.5, GPT-4, GPT 4o) and other models like Claude etc. Integrate AI models into production-grade pipelines with security, grounding, and monitoring practices. Evaluate multi-model performance for summarization, classification, extraction, or intelligent Q&A. Document Intelligence & Azure AI Create document processing solutions using Azure AI Document Intelligence (Form Recognizer) for forms, invoices, contracts, and scanned PDFs. Train custom models and integrate them into business workflows via Logic Apps, Azure Functions, or Python-based services. Automate data extraction and transformation pipelines for unstructured and semi-structured content. Web & API Development Develop and deploy modern web apps using React.js (frontend) and Python (FastAPI / Flask) for backend logic. Build secure and scalable REST APIs and Graph API-based solutions to interact with M365, SharePoint, Teams, OneDrive, Outlook, etc. Consume third-party APIs (ServiceNow, Salesforce, JIRA, Workday, SAP) using OAuth2 and token-based authentication. Azure Cloud & DevOps Provision, configure, and manage Azure resources like: Web Apps Azure Functions Cognitive Services Blob Storage / Key Vault / API Management Set up CI/CD pipelines using Azure DevOps or GitHub Actions . Monitor applications using Application Insights , Log Analytics , and create alerts for performance & reliability. Required Skills 7+ years of experience in application development and system integrations. Expertise in Azure AI (OpenAI, Document Intelligence, Cognitive Services). Strong knowledge of Prompt Flow , prompt engineering , and grounding techniques. Solid understanding of REST APIs , Microsoft Graph API , and secure API consumption. Proficient in Python (Flask/FastAPI), React.js , and full-stack web development. Experience with Azure Web Apps , Azure Functions, storage accounts, and Azure resource deployment. Familiarity with DevOps workflows and automated deployments. Preferred Skills Exposure to multiple LLMs: Claude, GPT-4, LLama, Mistral , etc. Experience with RAG, langchain, lang graph. Experience with Power Platform (Power Automate / CoPilot Studio) for workflow integration. Understanding of OAuth2, RBAC, managed identities , and API throttling. Familiarity with SharePoint Online , Dataverse , and structured data platforms. Microsoft certifications: AI-102, AZ-204, PL-400, or equivalent.

Job Description: Gen-AI Developer (Remote) We are seeking a hands-on Gen-AI Developer with a strong foundation in C#, .NET Core, Azure , and Generative AI tools . The ideal candidate will have experience in building scalable enterprise solutions , with a focus on Semantic Kernel, LLMs , and RAG pipelines . Responsibilities: Design scalable enterprise modules using .NET Core, Angular, Azure. Build Gen-AI solutions using Semantic Kernel & Azure OpenAI. Optimize RAG pipelines for enterprise data workflows. Implement AI-powered automation for efficiency. Collaborate with cross-functional agile teams. Ensure secure, compliant, and optimized deployment. Skills & Technologies: Languages: C#, SQL, LINQ, basic Python Frameworks: .NET Core, Angular, Entity Framework Azure Services: Functions, App Services, AI Search, DevOps, Key Vault, Storage AI & GenAI: LLMs, Semantic Kernel, RAG pipelines, AI orchestration Tools: Visual Studio, Postman, NUnit, SonarQube Integration: 3rd-party APIs, SQL Server, Azure Storage, ETL processes Preferred: Experience with ML pipelines & MLOps Docker/Kubernetes knowledge AZ-900 Certified (Azure Fundamentals) Experience Required: 46 years Work Mode: Remote

Experience: 6+ Years Job Summary: Seeking a Lead Engineer with Azure, .NET, and GenAI tools expertise for running PoCs and tool evaluations. Must-Have Skills: Hands-on with Copilot, Codex, Cursor AI, Qodo, Azure OpenAI Strong in C# / Python / JavaScript / Java Code review, automation, refactoring, testing Lead Proof of Concept (PoC) development and technical evaluations Collaborate with cross-functional teams to implement GenAI tooling

CTC: Based on expertise Expected CTC: Mention clearly in email Job Summary: Seeking a Lead Engineer with Azure, .NET, and GenAI tools expertise for running PoCs and tool evaluations. Must-Have Skills: Hands-on with Copilot, Codex, Cursor AI, Qodo, Azure OpenAI Strong in C# / Python / JavaScript / Java Code review, automation, refactoring, testing Lead Proof of Concept (PoC) development and technical evaluations Collaborate with cross-functional teams to implement GenAI tooling

Role & responsibilities Copilot Studio Developer - 6 to 8 years || Bangalore Senior Developer - CoPilot Studio We are looking for experienced software developers with:*strong analytical and problem-solving abilities*willingness and to learn new technologies and adapt to changing project requirements*ability to prioritize tasks and manage time effectively to meet deadlines*good verbal and written communication skills*ability to work collaboratively in a team setting. Key Responsibilities: • Design, develop, and maintain intelligent conversational experiences using Microsoft Copilot Studio (formerly Power Virtual Agents).• Build and customize Microsoft 365 Copilot experiences, including contextual extensions within M365 apps.• Develop and configure Microsoft Graph connectors to index and surface enterprise data securely within Copilot.• Integrate Copilot with Power Automate , Power Apps , Dataverse , and third-party APIs to deliver complete automation solutions.• Build and manage plugins , function calling mechanisms , and custom connectors to enhance Copilot capabilities.• Collaborate with solution architects, business stakeholders, and data owners to design AI-enabled workflows.• Implement security, compliance, and governance best practices across all solutions.• Monitor, test, and optimize the performance of deployed copilots. Skill sets • 6+ years of experience in developing solutions using Microsoft Power Platform (Power Apps, Power Automate, Dataverse).• Hands-on experience developing conversational agents with Microsoft Copilot Studio and Power Virtual Agents .• Strong understanding of Microsoft 365 Copilot architecture, extensibility, and integration points.• Proficiency in building and managing Microsoft Graph connectors and securely accessing enterprise data.• Experience working with Adaptive Cards , Bot Framework , and Azure OpenAI or Language Services .• Familiarity with REST APIs, JSON, OAuth2, and Azure Active Directory authentication models.• Strong analytical and problem-solving skills, with a collaborative and user-centric mindset. Certifications/Credentials Microsoft Certified: Power Platform Developer Associate Microsoft Certified: Power Platform Functional Consultant Associate Preferred candidate profile As per company standard

Sr. AI Developer with extensive experience in Retrieval-Augmented Generation (RAG) architectures, specifically leveraging Azure AI services. The ideal candidate will build and support mission-critical intelligent chatbot solutions, directly engaging with business and technical stakeholders. Responsibilities Design, develop, and deploy intelligent chatbot solutions utilizing Azure OpenAI services. Develop RAG-based solutions integrating unstructured data and structured enterprise databases. Create document ingestion pipelines from platforms like SharePoint into Azure Cognitive Search. Ensure context-aware, role-specific responses based on user access profiles. Integrate chatbots with platforms such as Microsoft Teams. Collaborate closely with business stakeholders and technical architects for solution architecture and deployment. Must-Have Skills Strong experience in Python programming Expertise with RAG frameworks and LLM-based assistant development Experience building document ingestion pipelines (SharePoint preferred) Familiarity with Azure Cognitive Search and Azure OpenAI APIs Knowledge of access control and security compliance mechanisms Strong debugging and troubleshooting abilities Nice-to-Have Skills Experience with Azure Function Apps Exposure to LangChain, LlamaIndex, Vector DBs (FAISS, Pinecone) Familiarity with Teams Bots, Power Automate, or UiPath Understanding of MLOps and model fine-tuning Soft Skills Strong communication skills to interact with business teams Problem-solving mindset; ability to work independently Ability to document solutions and knowledge transfer to internal teams

Senior Engineer: The T C A practice has experienced significant growth in demand for engineering & architecture roles from CST, driven by client needs that extend beyond traditional data & analytics architecture skills. There is an increasing emphasis on deep technical sk ills like s uch as strong ex pertise i n Azure, Snowflake, Azure OpenAI, and Snowflake Cortex, along with a solid understanding of their respective functionalities. In dividual w ill work on a robust pipeline of T C A-driven projects with pharma clients . This role offers significant opportunities for progression within the practice. What Youll Do Opportunity to work on high-impact projects with leading clients. Exposure to complex and technological initiatives Learning support through organization sponsored trainings & certifications Collaborative and growth-oriented team culture. Clear progression path within the practice. Opportunity work on latest technologies Successful delivery of client projects and continuous learning mindset certifications in newer areas Contribution to partner with project leads and AEEC leads todeliver complex projects & growTCA practice. Development of experttech solutions for client needs with positive feedback from clients and team members. What Youll Bring 3- 4 years of experience in RDF ontologies, RDF based knowledge graph (Anzo graph DB preferred), Data modelling, Azure cloud and data engineering Understanding of ETL processes, Data pull using Azure services via polling mechanism and API/middleware development using Azure services. Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus.

What Youll Do Experience in creating GenAI applications such as answering engines, extraction components, and content authoring. Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex. Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization. Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques. Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements. Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding. Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. Must Have Skills: Python, AWS/Azure, Data Science, Gen AI tools (Azure Open AI, Langchain, vector DB), Software Engineering. Good to Have: DevOps, CI/CD, Kubernetes. Product development Experience. What Youll Bring Technical Proficiency: Demonstrated expertise in Python, AWS/Azure, Data Science, and GenAI tools (including Azure OpenAI, LangChain, and Vector DB), along with a strong foundation in software engineering principles. Advanced Skills in DevOps and CI/CD: Good to have experience in DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Kubernetes is highly beneficial for enhancing product development and deployment processes. Product Development Experience: A background in product development is advantageous, enabling you to contribute to the creation of scalable, user-centric AI solutions. Ability to quickly adapt to new technology and be innovative in creating solutions Strong in at least one of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures Experience in designing and implementation of solution on distributed computing and cloud services platform AWS, Azure, GCP.

Job Summary: Seeking a Lead Engineer with Azure, .NET, and GenAI tools expertise for running PoCs and tool evaluations. Must-Have Skills: Hands-on with Copilot, Codex, Cursor AI, Qodo, Azure OpenAI Strong in C# / Python / JavaScript / Java Code review, automation, refactoring, testing Lead Proof of Concept (PoC) development and technical evaluations Collaborate with cross-functional teams to implement GenAI tooling