Requisition ID
199901
Date posted
06/12/2026
Work Location Model
Virtual Flex
Work Location
Bangalore\-IN\-Bangalore
Work Country
India**The group you’ll be a part of**
The AI Hub within Global Information Systems (GIS) is a centralized, high\-impact group responsible for developing, scaling, and evangelizing AI capabilities across Lam Research. The team partners closely with product managers, engineering teams, and business units to deliver AI\-enabled solutions that drive measurable business value and accelerate Lam's digital transformation. As part of the AI Hub's global delivery model, you will lead our India\-based AI engineering team and serve as a key technical leader connecting our AI platform to the enterprise tools our employees use every day.
In this role, you will lead a team of AI engineers and data scientists in India while driving the solution architecture that powers Lam's AI Hub. You will build the connective “plumbing” — connectors to enterprise applications, Model Context Protocol (MCP) servers, and integration services — that makes enterprise productivity tools such as Microsoft 365 Copilot and Copilot Studio dramatically more useful for our broader employee community. You will balance hands\-on technical leadership with people management, shaping both the architecture and the team that delivers it.
You will own end\-to\-end delivery for your team — from architecture and engineering standards through production deployment — ensuring solutions are reusable, secure, and scaled across the enterprise.
Lead by doing — personally design, prototype, and build core platform components while guiding the India\-based engineering team through hands\-on technical direction, code reviews, and example.
Drive AI solution architecture across the AI Hub — designing reusable, scalable patterns for agentic, RAG, and orchestration\-based solutions on the shared platform.
Build and maintain the integration “plumbing” — connectors to enterprise applications, Model Context Protocol (MCP) servers, APIs, and data services that link the AI platform to Lam's business systems.
Extend and operationalize enterprise productivity tools — making Microsoft 365 Copilot and Copilot Studio more capable and widely adopted across the larger user community through custom connectors, agents, and plugins.
Partner with product managers, AI governance, and the full\-stack team to translate business problems into production\-grade AI solutions.
Establish engineering best practices for quality, security, observability, and cost\-efficiency across the team's deliverables.
Collaborate across US and India teams to ensure a cohesive, follow\-the\-sun delivery model.
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non\-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
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