Principal AI Development Engineer
About the role
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.
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.
Qualifications
- Education: Bachelor's 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.
Preferred Skills
- 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.
Pay
The annual base salary range for this position is $118,800 - $190,000.
Benefits
- Discretionary annual bonus
- Competitive new hire equity grant and 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 and vacation time
- Paid Family Leave and other leaves of absence in accordance with applicable laws