Lead AI Quant Engineer — Multi-Agent Sandbox
Listed on 2026-10-17
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Software Development
AI Engineer (Applied/Software)
Franklin Templeton is seeking a Lead - AI Quant Engineer to architect multi-agent investment workflows and guide platform choices. You will stay hands-on in prototyping and critical implementations while mentoring engineers and ensuring governance-ready, auditable prototypes with verifiable data.
The role emphasizes evidence-driven practices, risk-aware design, and collaboration with senior leaders across investment, product, data, and AI governance. Hybrid work in CA is supported.
Our group is growing, and we are hiring a Lead AI Quant Engineer — Multi-Agent Sandbox in San Ramon, CA, United States.
The Lead AI Quant Engineer — Multi-Agent Sandbox role at Franklin Templeton is now open for applications in San Ramon, CA, United States.
Join us at Franklin Templeton as our next Lead AI Quant Engineer — Multi-Agent Sandbox in San Ramon, CA, United States.
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