Principal AI Development Engineer

BroadcomSan Jose, CA

About The Position

Broadcom’s GTO team is seeking a high-energy, visionary Principal AI Development Engineer to serve as a strategic leader and the primary architect of our AI transformation. In this Level 5 role, you are not just building pipelines; you are expected to run large-scale projects that define how Broadcom leverages agentic AI across its global hardware and software divisions. You will operate at the intersection of two worlds: cutting-edge Generative AI (agents, RAG, vectorization) and high-scale Fullstack Development. As a Principal Engineer, you will be the technical authority responsible for the end-to-end delivery of agentic systems that bridge the gap between Broadcom's IT infrastructure and its core design engineering business units.

Requirements

  • Education: Bachelors degree in Computer Science, Software Engineering, or a related field (Master’s or PhD preferred).
  • Experience: Minimum of 12 years of Software Engineering experience, with a proven track record of leading and delivering complex, large-scale projects.
  • Generative AI Mastery: Expert-level experience in building agentic workflows, RAG architectures, and complex orchestration (e.g., LangGraph, CrewAI).
  • Fullstack Expertise: Deep, hands-on experience in both frontend and backend development, with mastery of Python and modern enterprise-grade languages.
  • Data & System Architecture: Expert knowledge of vector databases (Pinecone, Weaviate, Milvus) and the programming principles required to scale them.
  • Deployment & Ops Knowledge: High proficiency in Kubernetes, Docker, and modern CI/CD patterns to ensure AI agents are production-ready.
  • Engineering Rigor: Expert in version control (GitHub), Test-Driven Development (TDD), and automated testing specifically tailored for AI outputs.

Nice To Haves

  • Demonstrated experience running cross-departmental projects in a fast-paced environment.
  • Experience managing AI-driven automation for a mixed set of software and hardware assets.
  • Proven ability to conduct peer evaluations and formal design reviews that drive architectural excellence across an enterprise.

Responsibilities

  • Project Ownership & Leadership: Lead and execute high-impact AI initiatives from initial conception to global production, ensuring solutions are simple, scalable, and innovative.
  • Strategic Engineering Interface: Act as the lead technical liaison between GTO and business units, translating high-level engineering challenges into next-generation agentic solutions.
  • Agentic Framework Architecture: Define the long-term technical roadmap for AI orchestration, currently leveraging LangGraph while maintaining the flexibility to pivot as the pathway evolves.
  • Cross-Functional Technical Bridge: Marry production-grade Fullstack development with AI logic, setting the standard for how the organization builds non-deterministic software at scale.
  • Team Upleveling & Mentorship: Act as a technical multiplier, conducting formal design reviews, mentoring senior staff, and proposing fluid architectural options that advance the team's capabilities.
  • Infrastructure Strategy: Partner with the infrastructure team to optimize the deployment of AI models and vector databases within Kubernetes environments.
  • Strategic Communication: Communicate complex AI roadmaps and project statuses clearly to both technical squads and executive stakeholders.

Benefits

  • discretionary annual bonus
  • competitive new hire equity grant
  • annual equity awards
  • Medical, dental and vision plans
  • 401(K) participation including company matching
  • Employee Stock Purchase Program (ESPP)
  • Employee Assistance Program (EAP)
  • company paid holidays
  • paid sick leave
  • vacation time
  • The company follows all applicable laws for Paid Family Leave and other leaves of absence.
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