Lead AI/ML Engineer — Multi-Agent Finance Platform

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

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 within an auditable architecture. You’ll help build an agentic platform and advisor-facing tools that scale globally.

The role sits on Franklin Templeton's AI Platform Team across Stamford, San Ramon, or San Mateo offices, requiring collaboration with product, design, and engineering to translate business needs into robust agent

Qualifications

• 5+ years of software engineering experience, including 2+ years building and deploying LLM, GenAI, or agent-based systems in production environments.
• Experience implementing multi-step agent workflows using frameworks such as LangChain, OpenAI function/tool calling, or similar orchestration frameworks.
• Expert-level proficiency in Python and experience building distributed services or microservices architectures.
• Hands-on experience with vector databases (e.g., Pinecone, FAISS), RAG architectures, and data grounding techniques.
• Experience implementing observability, monitoring, and fault-tolerant systems for high-availability applications.

Responsibilities

• Design 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 failure handling.
• Establish data agents and services to ground AI models in correct data.
• Embed AI agents and chatbots into the client-facing platform to surface insights for advisors.
• Create evaluation frameworks for multi-step reasoning accuracy and financial correctness.
• Implement memory management, context handling, and agent state persistence.

Skills

Production AI/LLM

Agent frameworks

Python & distributed systems

Vector databases

Observability & monitoring

Tools

LangChain

OpenAI function calling

Pinecone

FAISS

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 within an auditable architecture. You’ll help build an agentic platform and advisor-facing tools that scale globally.

The role sits on Franklin Templeton's AI Platform Team across Stamford, San Ramon, or San Mateo offices, requiring collaboration with product, design, and engineering to translate business needs into robust agent