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OnsiteLeadai/ml infra

Technical Lead

MastekMumbai, Maharashtra, IndiaPosted 18 May 2026

Mastek is hiring a Technical Lead for its AI Engineering division to drive enterprise-scale AI adoption. The role focuses on architecting multi-agent frameworks, building AI-enabled SDLC accelerators, and implementing production-grade AI deployments. Candidates are required to have extensive experience with AWS, RAG architectures, LLM ecosystems like Bedrock and Claude, and container orchestration tools. This is a highly hands-on position involving mentorship and cross-functional technical collaboration.

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Experience

8-12 years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Mastek is hiring a Technical Lead for its AI Engineering division to drive enterprise-scale AI adoption. The role focuses on architecting multi-agent frameworks, building AI-enabled SDLC accelerators, and implementing production-grade AI deployments. Candidates are required to have extensive experience with AWS, RAG architectures, LLM ecosystems like Bedrock and Claude, and container orchestration tools. This is a highly hands-on position involving mentorship and cross-functional technical collaboration.

TAL's take

Quality 60/1005/5 clarityTier 2 company

Solid tier-2 company with a well-defined, senior-level technical leadership role in the high-demand AI domain.

Very clear responsibilities, specific AI tech stack, and defined leadership scope.

Salaries at Mastek

12.9 LPA average

Based on 14 Grapevine salary entries for Mastek.

View all salaries

Engineering

2 - 4 years | G3

4 LPA average

Range: 4 - 4 LPA

Engineering

4 - 6 years | L2

10 LPA average

Range: 10 - 10 LPA

Human Resources

2 - 4 years | G3

4 LPA average

Range: 4 - 4 LPA

Program & Project Management

2 - 4 years | G3

8 LPA average

Range: 8 - 8 LPA

Must haves

  • 8-12 years of experience
  • Production deployment experience of AI agents and enterprise AI systems
  • Experience implementing AI-native automation platforms and orchestration frameworks
  • Strong expertise in LangChain, LangGraph, and RAG architectures
  • Proficiency with AWS Bedrock and container orchestration (Docker, Kubernetes)

Tools and skills

aws bedrockamazon q developeraws kiroclaudeopenaigithub copilotlangchainlanggraphmcp serversvector databasesrag architecturesawsdockerkubernetesazure devopsgithub actions

About the company

Established mid-stage IT services and product company with global operations.

Posts mentioning Mastek