Lead AI/ML Engineer — Advisor-Facing Multi-Agent AI

Jobzhr; San Ramon (CA); Hybrid; USD 180,000 - 212,000; Full time

Benefits offered by this job

Discretionary bonus

401(k) match

Healthcare options

Job summary

Franklin Templeton is seeking an AI/ML Lead Engineer to design and implement multi-agent systems for financial advisors, focusing on grounded data and auditable architecture. You will help build scalable agent platforms and advisor-facing tools that integrate data, portfolios, and performance insights.

The role supports advisor-facing AI initiatives, workflow automation, and infrastructure decisions, with a salary range of $180,000–$212,000 plus discretionary bonus, and a hybrid work model

Qualifications

• 5+ years of software engineering experience with production LLM/GenAI or agent-based systems.
• Experience with multi-step agent workflows and orchestration frameworks.
• Strong Python and distributed systems expertise.

Responsibilities

• Design and implement production-grade multi-agent systems with tool orchestration and compliance checks.
• Develop memory management, context handling, and agent state persistence strategies.
• Ensure observability, monitoring, and fault tolerance in services.
• Collaborate with product, design, and engineering to translate requirements into scalable agent architectures.

Skills

AI/LLM systems

Agent workflows

Python programming

Distributed systems

Observability

Tools

LangChain

OpenAI function calling

Pinecone

FAISS

Job description

Franklin Templeton is seeking an AI/ML Lead Engineer to design and implement multi-agent systems for financial advisors, focusing on grounded data and auditable architecture. You will help build scalable agent platforms and advisor-facing tools that integrate data, portfolios, and performance insights.

The role supports advisor-facing AI initiatives, workflow automation, and infrastructure decisions, with a salary range of $180,000–$212,000 plus discretionary bonus, and a hybrid work model