Principal AI Development Engineer

About the role

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Job Description:

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.

Key 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: 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.