Principal AI Systems Architect

Lead the architectural design of enterprise multi-agent reasoning graphs, private cloud LLM deployments, and high-throughput vector search infrastructure.

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What You Will Do

Architect autonomous agent execution topologies with deterministic tool-calling boundaries.
Design RAG pipelines integrating dense/sparse semantic retrieval and graph reasoning.
Collaborate directly with enterprise client CTOs and engineering leadership to define AI roadmaps.
Mentor senior machine learning engineers on production model alignment and latency tuning.

What We Are Looking For

8+ years of distributed systems engineering with at least 3+ years dedicated to LLM/ML systems.
Deep proficiency with PyTorch, LangChain/LlamaIndex, Triton Server, and vector databases.
Proven track record deploying production AI systems serving high concurrency.
BS/MS or Ph.D. in Computer Science, Mathematics, or equivalent practical experience.

Compensation & Benefits

•Competitive executive compensation + equity options.
•Comprehensive global healthcare, dental, and vision coverage.
•Flexible remote-first work environment with annual team summits.
•$5,000 annual continuous education and conference stipend.

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Direct application reviewed by engineering leadership.

Artificial Intelligence

• Global Distributed / San Francisco•Full-Time•Staff / Principal