AI Optimization Lead: Scale Evaluation & Impact
Listed on 2026-10-16
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Software Development
AI Engineer (Applied/Software)
Franklin Templeton is seeking a Lead - AI Optimization to drive technical delivery of AI solutions across business groups. You will translate needs into practical designs, guide testing, deployment, and production readiness while mentoring engineers and sharing reusable components.
The role focuses on building evaluation capabilities for LLMs and AI apps, establishing benchmarks, and guiding model selection with emphasis on quality, reliability, latency, and cost.
The following opening is for a AI Optimization Lead:
Scale Evaluation & Impact with Franklin Templeton.
This opportunity is part of our work in IT & Technology.
The advertised compensation is 156..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the AI Optimization Lead:
Scale Evaluation & Impact role in the description above.
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