A
Accenture
AI Engineer

AI Engineer – Azure AI Foundry

On-siteMidAI EngineerJust posted
✦Role summaryAI-generated

The AI Engineer will design and implement Retrieval‑Augmented Generation pipelines and AI agents on Azure AI Foundry for enterprise clients. They will collaborate with senior engineers to deliver production‑grade generative AI solutions using Azure OpenAI and Azure AI Search.

Skills required

About this role

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.

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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.

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