AI Engineer – Azure AI Foundry Experience 4 – 6 years Level Mid-Level Location Delhi / Mumbai / Bangalore (India) Employment Type Full-time Primary Skills Azure AI Foundry, RAG, AI Agents, AI / ML Role Summary We are looking for an AI Engineer with hands-on experience in building Generative AI solutions on Microsoft Azure. You will design and develop Retrieval-Augmented Generation (RAG) pipelines and AI agents using Azure AI Foundry, working within a team under the guidance of senior engineers and architects, and contribute to production-grade AI/ML solutions for enterprise clients. Key Responsibilities Develop and deploy RAG-based applications using Azure AI Foundry, Azure OpenAI, and Azure AI Search. Build AI agents using Azure AI Foundry Agent Service, including tool/function calling and basic multi-step workflows. Implement document ingestion pipelines: parsing, chunking, embedding generation, and vector indexing. Write and iterate on prompts; apply prompt engineering techniques to improve answer quality and reduce hallucinations. Build, train, and evaluate classical ML / deep learning models for classification, forecasting, NLP, or similar use cases. Expose AI capabilities through REST APIs (FastAPI / Flask) and integrate them with front-end and enterprise systems. Run evaluation of RAG and agent outputs (groundedness, relevance, accuracy) using Azure AI Foundry evaluation tools. Write clean, tested, well-documented code and participate in code reviews. Collaborate with product owners, data engineers, and QA teams to deliver sprint commitments. Required Skills & Experience 4 – 6 years of total experience in software / data / AI engineering, with at least 1.5 – 2 years in Generative AI. Hands-on experience with Azure AI Foundry (model catalog, deployments, prompt flow, evaluations). Practical experience building RAG solutions end to end (embeddings, chunking, vector search, retrieval, re-ranking basics). Experience building AI agents using Azure AI Foundry (Agent Service) or frameworks such as Semantic Kernel, LangChain, or AutoGen. Strong Python programming skills; good understanding of REST APIs and JSON. Working knowledge of AI/ML fundamentals: supervised / unsupervised learning, model evaluation, feature engineering, scikit-learn, and PyTorch or TensorFlow. Familiarity with Azure services: Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, Key Vault. Working knowledge of Git and CI/CD basics. . Good to Have Azure certifications (AI-102, DP-100, or AZ-204). Exposure to Azure Machine Learning, Azure Databricks, or Microsoft Fabric. Experience with Docker and basic Kubernetes / Azure Container Apps. Exposure to responsible AI practices and content safety. Soft Skills Good written and verbal communication; able to explain technical work to non-technical stakeholders. Ownership mindset, eagerness to learn fast-evolving AI tooling. Education B.E. / B.Tech / M.E. / M.Tech / MCA / M.Sc in Computer Science, Data Science, AI/ML, or a related field. . At Avanade, we advance the world through the power of people and Microsoft. Join us to shape your skills and the future with bold ideas and innovative solutions. Our partnership with Microsoft and Accenture empowers you to unlock your full potential. Working at Avanade offers the chance to build a career path that suits your skills and interests and the freedom to be your authentic self. We are committed to your growth, well-being, and success. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities. Together, we do what matters.

AI Engineer – Azure AI Foundry.

more at Accenture.

Engenheiro(a) de Dados Junior

Dynamics 365 CRM Technical Engineer（Business Applications）

Dynamics 365 ERP Consultant (Business Applications / Business Analysis)

similar roles.

Data Analyst (Strategy & Data Analytics)

Senior data engineer

Senior Analyst, Investor Relations and FP&A

Sr. FP&A Analyst

Data & AI Delivery Lead - Commercial Effectiveness

Machine Learning Engineer