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Gen AI Azure - Lead

VirtusaGurugram, Haryana, IndiaPosted 19 May 2026

Virtusa is seeking a Lead Gen AI Engineer to design and deploy MCP servers that power scalable Generative and Agentic AI systems. The role focuses on building LLM-driven applications, RAG pipelines, and agentic workflows using frameworks like LangChain or LlamaIndex. Candidates must be proficient in Python backend development, asynchronous programming, and deploying AI services on Azure. The position involves implementing production-ready features such as caching, monitoring, and secure API integrations.

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Experience

Experience not specified

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Virtusa is seeking a Lead Gen AI Engineer to design and deploy MCP servers that power scalable Generative and Agentic AI systems. The role focuses on building LLM-driven applications, RAG pipelines, and agentic workflows using frameworks like LangChain or LlamaIndex. Candidates must be proficient in Python backend development, asynchronous programming, and deploying AI services on Azure. The position involves implementing production-ready features such as caching, monitoring, and secure API integrations.

TAL's take

Quality 60/1005/5 clarityTier 2 company

Solid technical role in a well-established company with a clearly defined focus on GenAI and agentic workflows.

The JD provides a very clear scope, tech stack, and specific responsibilities related to MCP and agentic AI systems.

Salaries at Virtusa

14.4 LPA average

Based on 114 Grapevine salary entries for Virtusa.

View all salaries

Engineering

2 - 4 years | Tier 3

5 LPA average

Range: 4 - 7 LPA

Engineering

4 - 6 years | T4

10 LPA average

Range: 7 - 14 LPA

Engineering

6 - 8 years | T2

11 LPA average

Range: 11 - 11 LPA

Engineering

8 - 10 years | T2

19 LPA average

Range: 18 - 21 LPA

Must haves

  • Strong Python backend development experience
  • Expertise in asynchronous programming (asyncio)
  • Hands-on experience with Generative AI, LLMs, and Agentic AI systems
  • Experience building MCP servers or similar AI-serving architectures
  • Experience with RAG, embeddings, and vector databases
  • Knowledge of web protocols and API security
  • Experience with MLOps and CI/CD using Azure DevOps

Tools and skills

pythonasynciogenerative aillmsagentic aimcpragvector databasesprompt engineeringrestwebsocketsdockerazure devops

About the company

Established global IT services and consulting firm with a significant engineering presence.

Posts mentioning Virtusa