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Sr. Mgr, Data Science

India, Bangalore · Job Posted June 15, 2026
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Job Description

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

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