We are building enterprise LLM-powered applications on Azure and need a Lead Software Engineer - AI Solution Engineering to shape architecture and delivery standards. You will design and ship full-stack AI solutions, guide cloud and coding best practices, and uphold Responsible AI across teams—apply now.

Responsibilities

- Build full-stack LLM-powered AI applications on Azure using prompt engineering, grounding, RAG, and vector databases

- Develop APIs and microservices in Python, .NET, or Node and connect them to UIs and enterprise systems

- Lead agentic AI development with Azure AI Foundry and Copilot Studio

- Implement CI/CD pipelines using GitHub Actions or Azure DevOps and coordinate deployments across AKS, App Service, and Functions

- Create data and feature pipelines with Azure Data Factory, Synapse, or Databricks and manage embeddings plus prompt versioning

- Deploy models to production and maintain them over time

- Conduct health checks, audits, and code reviews to enforce coding standards and AI principles and keep code clean, maintainable, and production-ready across teams

Requirements

- Extensive IT experience in the 6–14 year range across software delivery and enterprise systems

- Strong programming skills in Python and C#, plus building REST/GraphQL APIs with solid testing and code review practices





- Hands-on expertise with the Azure AI stack, including Azure OpenAI, Azure AI Foundry, and Azure Cognitive Services

- Working knowledge of Azure AI Search, NLP, and Azure ML, plus vector databases such as AI Search vector index, Cosmos DB, or PostgreSQL

- Practical experience in agentic development using the Azure AI stack

- Proven CI/CD capability with GitHub, branching strategies, and standards such as linters, formatters, and PEP8, including GitHub Actions pipelines

- Containerization skills with Docker and deployment experience to AKS, App Service, or Functions

- Knowledge of secrets management using Key Vault and Managed Identity, plus RBAC and basic network security concepts

- Explicit understanding of Responsible AI, privacy, and data security for enterprise environments

Nice to have

- Experience using GitHub Copilot and Microsoft Copilot Studio (Power Platform)

- Familiarity with PromptFlow, MLflow, Databricks, and Streamlit or React

- Background in MLOps and/or LLMOps practices

- Azure certifications such as AI-102 and AZ-204

- Experience working with one of the big cloud environments (e.g. Azure)

- Knowledge of RAG patterns, prompt design, tool/function calling, embeddings, retrieval, caching

- Preferred experience working with Asset projects

📌 Lead Software Engineer - AI Solution Engineering (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru