Staff AI Engineering - Enterprise Architecture

Responsibilities: Drive technical direction for agentic AI initiatives, shaping architecture patterns and autonomy boundaries Design, build, and operate production-grade agentic AI systems used across multiple products Own and evolve shared capabilities (frameworks, planning/memory, RAG pipelines, LLM infra, model gateways) Lead technical design reviews and help teams navigate tradeoffs around autonomy, safety, reliability, and cost Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production Evaluate emerging models and translate practical enterprise improvements Mentor senior engineers and raise the technical bar for agentic AI development Key requirements +10 years of software engineering experience delivering agentic or LLM-powered systems to production Proven ownership of complex, cross-cutting agentic systems across multiple teams or products Strong fundamentals in backend systems, APIs, data pipelines, and cloud infrastructure Deep experience with agentic AI stack (planning, tool use, memory, evaluation) and AI-assisted workflows Ability to influence technical direction and align teams without formal authority Experience with workflow engines, asynchronous processing, queues, and streaming systems ability to translate ambiguity into shipped, reliable autonomous systems influencing without formal authority mentoring and technical leadership across groups Python Go TypeScript