AI/ML Lead Engineer
About The Position
Franklin Templeton is seeking an AI/ML Lead Engineer to design and implement agents for financial advisors that simplifies advisor work, leveraging client data and portfolio performance. Ideal candidates will generate insights for individual portfolios and across an advisor book of business, all within a monitored, auditable architecture. You'll be part of Franklin Templeton's AI platform team, where you'll help build the agentic platform and advisor-facing tools that are redefining how our advisors and clients engage with their portfolios. This is a chance to work at the intersection of cutting-edge AI and global asset management, owning foundational architecture and delivering capabilities that reach advisors and clients worldwide.
Requirements
- 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.
Nice To Haves
- Experience building technology solutions for asset management, wealth management, or portfolio analytics platforms.
- Experience designing evaluation frameworks for LLMs (e.g., hallucination mitigation, groundedness, accuracy testing, or compliance monitoring).
- Experience designing or deploying multi-agent architectures involving memory, state management, and orchestration layers.
- Experience with model serving frameworks, containerization (Docker/Kubernetes), and cloud platforms (AWS, Azure, GCP).
- Master's or PhD in Computer Science, Machine Learning, AI, or a related discipline.
Responsibilities
- Design and implement production-grade multi-agent systems using the 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 our 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
Benefits
- Annual discretionary bonus
- 401(k) plan with a generous match
- Recognition rewards
- Comprehensive benefits package
- Competitive healthcare options
- Insurance
- Disability benefits
- Employee stock investment program
- Learning resources
- Career development programs
- Reimbursement for certain education expenses
- Paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays)
- Wellbeing program
- Three weeks of PTO in your first year
- Competitive medical, dental, and vision insurance
- 401(k) plan with an 85% company match on pre-tax and/or Roth contributions, up to IRS limits
- Employee Stock Investment Plan (ESIP) with discounted share purchase opportunities
- Learning Education Assistance Program (LEAP)
- Opportunity to purchase company funds with no sales charge
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What This Job Offers
Job Type
Full-time
Career Level
Senior
