Principal AI Development Engineer

Principal AI Development Engineer page is loaded## Principal AI Development Engineer locations:
USA-California-San Jose-1320 Ridder Park Drivetime type:
Full time posted on:
Posted Todayjob requisition :
R025622
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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 Lang Graph 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 Up leveling & 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
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* 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., Lang Graph, 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 (Git Hub), 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.
** Additional

Job Description:

**** Compensation and Benefits
** The annual base salary range for this position is $118,800 - $190,000.  As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards,…