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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.
Job Responsibility
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
Requirements
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
Nice to have
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