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.

 

The impact you'll make

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.

What You'll Do

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.

Who We're Looking For

Bachelor's or Master's in Computer Science, Engineering, or a related field, with 8+ years of deep, hands-on software/AI engineering experience, including time as a technical lead who delivers through direct contribution.
Proven experience architecting and delivering enterprise-scale AI/GenAI solutions — including agentic frameworks, retrieval-augmented generation (RAG), and orchestration.
Hands-on expertise building integrations and connectors to enterprise applications, with working knowledge of Model Context Protocol (MCP), APIs, and authentication patterns.
Experience extending Microsoft productivity platforms — Microsoft 365 Copilot, Copilot Studio, or Power Platform — for enterprise users.
A lead-by-doing mindset — comfortable being the most technical person on the team, setting direction by writing code and architecture, and mentoring engineers as a peer rather than a hands-off manager.

Preferred Qualifications

Experience developing on cloud platforms such as Azure and/or Databricks.
Familiarity with GenAI orchestration frameworks (e.g., LangChain, LangGraph) and agent communication standards (e.g., MCP).
Experience with enterprise data integration, data engineering, and API/connector development.
Background working in a global, distributed (US/India) delivery model.
Strong communication and stakeholder-management skills across technical and business audiences

Our commitment

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.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. On-site Flex you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Sr. Mgr, Data Science