This role pays less than
65%
of similar roles. Most pay
$168,199–$246,150
— the shaded band above.
At the midpoint, this role pays about
$196k
versus about
$207k
for comparable roles.
Based on 240 similar postings.
Employer
About Franklin Templeton
Franklin Templeton is a global investment management organization offering a wide range of mutual funds, ETFs, and alternative investment solutions to retail and institutional investors worldwide. Industry: Investment Management & Asset Management
Franklin Templeton currently has
5 open roles
on FindRole.
Listed pay typically runs
$140,000–$170,000
across 5 roles with salary data.
As an AI/ML Lead Engineer at Franklin Templeton’s O’Shaughnessy Asset Management in Stamford, Connecticut, you will join a forward-thinking team to design and implement advanced multi-agent systems that simplify financial advisors' work by leveraging client data and portfolio performance. Your daily tasks include building agent workflows with context retrieval, reasoning, tool execution, validation, and compliance checks, while ensuring robust observability and monitoring. You’ll develop distributed services for agent execution, embed AI agents into the Canvas platform to provide natural insights, and establish evaluation frameworks for accuracy and financial correctness. Essential skills include 5+ years of production AI/LLM system experience, proficiency in Python, expertise with vector databases like Pinecone or FAISS, and hands-on experience with observability and fault-tolerant systems. This role offers the opportunity to work at the intersection of cutting-edge AI and global asset management, contributing to a scalable multi-agent platform that addresses reliability and regulatory challenges.