Roles & Responsibilities
Job Summary
We are seeking a highly skilled and self-motivated AI Engineer to join us as we establish our AI Center of Excellence (CoE). As an early team member, you will play a critical role in shaping the foundation, strategy, and implementation of AI and ML solutions across the organization. This role offers a unique opportunity to work at the forefront of AI innovation, contribute to impactful use cases, and collaborate with cross-functional teams to build intelligent agentic systems.You will work with both Microsoft technologies (Copilot Studio, AI Foundry, Azure OpenAI) and open-source frameworks to design, deploy, and manage enterprise-ready AI solutions.
Key Responsibilities
- Design, develop, and deploy AI agents using Microsoft Copilot Studio and AI Foundry.
- Build and fine-tune machine learning models for NLP, prediction, classification, and recommendation tasks.
- Conduct exploratory data analysis (EDA) to extract insights and support model development.
- Implement and manage LLM workflows, including prompt engineering, fine-tuning, evaluation, deployment, and monitoring.
- Utilize open-source frameworks such as LangChain, Hugging Face, MLflow, and RAG pipelines to build scalable, modular AI solutions.
- Integrate AI solutions with business workflows using APIs and cloud-native deployment methods.
- Use Azure AI services, including AI Foundry and Azure OpenAI, for secure and scalable model operations.
- Contribute to the creation of an AI governance framework, including Responsible AI principles, model explainability, fairness, and accountability.
- Support the creation of standards, reusable assets, and documentation as the CoE grows.
- Collaborate with engineering, data, and business teams to define problems, build solutions, and demonstrate value.
- Stay up to date with emerging AI capabilities such as Model Context Protocol (MCP), Agent-to-Agent (A2A) frameworks, and Agent Communication Protocols (ACP), and proactively evaluate opportunities to integrate them into enterprise solutions.
Required Qualifications
- Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
- 5+ years of experience in AI, machine learning, or data science with production-level deployments.
- Strong foundation in statistics, ML algorithms, and data analysis techniques.
- Hands-on experience building with LLMs, GenAI platforms, and AI copilots.
- Proficient in Python, with experience using libraries such as Pandas, Scikit-learn, PyTorch, TensorFlow, and Transformers.
- Experience with Microsoft Copilot Studio, AI Foundry, and Azure OpenAI.
- Working knowledge of open-source GenAI tools (LangChain, Haystack, MLflow).
- Understanding of cloud deployment, API integration, and version control (Git).
Experience
Skills
- Primary Skill: AI/ML Development
- Sub Skill(s): AI/ML Development
- Additional Skill(s): TensorFlow, NLP, Pytorch, GenAI Fundamentals, Large Language Models (LLM)