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.
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.
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 .
If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.
Benefits
Dental insuranceVision insurance401(k)Paid time offEquity / stock optionsPerformance bonus
Additional Information
Please Note:
1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account)
2. If you already have a Candidate Account, please Sign-In before you apply.
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.
Broadcom · Usa-california-san Jose-1320 Ridder Park Drive