Hybrid AI/ML Platform Lead Engineer

Franklin Templeton; San Mateo (CA); Hybrid; USD 180,000 - 212,000; Full time

Benefits offered by this job

401(k) match

Discretionary bonus

Wellbeing program

Job summary

Franklin Templeton is seeking an AI/ML Lead Engineer to design and implement multi‑agent systems for financial advisors, leveraging client data and portfolio performance in a monitored, auditable architecture. You will join the AI platform team and help deliver advisor‑facing tools that scale globally.

The role emphasizes production‑grade Python services, tooling, memory management, and grounding techniques, with partnerships across product, design, and engineering.

Qualifications

• 5+ years of software engineering experience with AI/LLM systems in production.
• Experience building multi-step agent workflows.

Responsibilities

• Design and implement production-grade multi-agent systems.
• Build agent workflows with context retrieval, reasoning, tool execution, validation, and compliance checks.
• Develop distributed services for agent execution with observability and fault tolerance.
• Establish memory management and state persistence for agents.
• Collaborate with product, design, and engineering to translate requirements into robust agent architecture.

Skills

Production AI/LLM systems

LangChain/OpenAI function calling

Python

Vector databases

Observability/Monitoring

Education

Master’s or PhD in CS/ML or related

Tools

LangChain

OpenAI tools

Docker/Kubernetes

Job description

Franklin Templeton is seeking an AI/ML Lead Engineer to design and implement multi‑agent systems for financial advisors, leveraging client data and portfolio performance in a monitored, auditable architecture. You will join the AI platform team and help deliver advisor‑facing tools that scale globally.

The role emphasizes production‑grade Python services, tooling, memory management, and grounding techniques, with partnerships across product, design, and engineering.