As a Principal Engineer, Agentic Applications, you will join the engineering leadership team to build and ship AI/ML-backed multi-agent workflows that transform structured and unstructured data into production decisions for the global supply chain. You will own technical standards, including interoperability protocols like MCP/A2A, while architecting agent-ready data designs and co-owning the reference architecture for product-to-market journeys. Your daily work involves building complex systems to automate tasks such as generating BOMs, negotiating RFPs, and allocating materials across design and sourcing. You will utilize technologies including LangGraph, Vertex Model Garden, and LLM-as-judge evaluation gates. The role focuses on solving the challenge of moving from manual processes to autonomous, AI-native operations within apparel design tools, PLM systems, procurement, and logistics by creating reliable, model-agnostic agentic frameworks for large-scale enterprise environments.
What does a Engineer earn in California?
Median $209800 from 89 postings across 25 companies.