Lead AI Quant Engineer Multi-Agent Investing
Listed on 2026-10-16
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Software Development
AI Engineer (Applied/Software)
Franklin Templeton in San Mateo, CA, seeks a Lead - AI Quant Engineer to own Project Sandbox architecture and governance for multi-agent investment workflows. You will prototype, review, and lead critical implementation with a hands-on approach.
We look for 8+ years in quantitative engineering or related fields, expert Python, and strong skills in portfolio construction, risk analytics, and distributed systems.
We invite applications for the Lead AI Quant Engineer for Multi-Agent Investing position located in San Mateo, CA, United States.
The position is based in San Mateo, CA, United States.
This opportunity is part of our work in IT & Technology, Engineering.
The advertised compensation is 189..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
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