AI/ML Lead Engineer

Franklin Templeton

AI/ML Lead Engineer designing and implementing agent systems for financial advisors at Franklin Templeton. Focusing on optimizing advisor workflows and leveraging client data.

Posted 6/12/2026full-timeStamford • California, Connecticut • 🇺🇸 United StatesSenior💰 $180,000 - $212,000 per yearWebsite

Tech Stack

Tools & technologies

MicroservicesPython

About the role

Key responsibilities & impact

Design and implement production-grade multi-agent systems using leading agent frameworks and platforms
Build agent workflows that integrate context retrieval, reasoning, tool execution, validation, and compliance checks
Develop distributed services for agent execution with strong observability, monitoring, and failure handling
Establish tools, data agents, and services to enable context ensuring the AI model is grounded in the correct data and knowledge
Embed AI agents and chatbots into client-facing platform to surface insights in a natural manner for advisors
Establish evaluation frameworks for multi-step reasoning accuracy, grounded-ness, hallucination mitigation, and financial correctness
Implement memory management, context handling, and agent state persistence strategies
Review interaction issues to continually refine knowledge bases and agent setups
Partner with product, design, and engineering teams to translate business requirements into robust agent architecture
Optimize systems for latency, cost efficiency, and reliability in production
Contribute to infrastructure decisions around model serving, vector databases, caching, and orchestration layers

Requirements

What you’ll need

5+ years of software engineering experience
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
Experience building distributed services or microservices architectures
Hands-on experience with vector databases (e.g., Pinecone, FAISS)
Experience implementing observability, monitoring, and fault-tolerant systems for high-availability applications
Must be authorized to work for any employer in the U.S.

Benefits

Comp & perks

Annual discretionary bonus
401(k) plan with a generous match
Comprehensive benefits package including healthcare options, insurance, and disability benefits
Employee stock investment program
Learning resources and career development programs
Paid time off for vacation, holidays, sick leave, parental and caregiving leave, bereavement, volunteering, and floating holidays
Motivational wellbeing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmulti-agent systemsLLMGenAIagent-based systemsmulti-step agent workflowsdistributed servicesmicroservices architecturesobservabilitymonitoring

Soft Skills

collaborationcommunicationproblem-solvingadaptabilitycritical thinking