Fiduciary Trust AI, Data, and Process Optimization

Franklin Templeton • New York, NY

1d • Onsite

About The Position

At Franklin Templeton, we’re advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management and fintech, offering many ways to help investors make progress toward their goals. Talented teams working around the globe bring expertise that’s both broad and unique. And our welcoming, respectful and inclusive culture provides opportunities to help you reach your potential while helping our clients reach theirs. Come join us in delivering better outcomes for our clients around the world! Our new Data, AI & Process Optimization team helps FTI teams adopt AI and streamline processes. We focus on: AI enablement and trainings for business and functional teams Custom agent development to accelerate workflows (research, operations, sales, marketing, service) Trust administration AI to improve document analysis, entity extraction, and decision support Automation that reduces manual work and improves consistency across recurring processes You’ll build real, production-minded AI solutions not just prototypes. You’ll help teams learn AI, design and deliver internal workshops, and ship working custom agents and automations that impact daily workflows. You’ll also contribute to high-value work in trust administration, applying modern AI patterns (retrieval, structured extraction, evaluation, monitoring) to complex real-world documents and processes. We’re a new team that is growing in resources and experience. We are a collaborative, builder-oriented team that partners closely with business stakeholders. We move quickly, prioritize measurable outcomes, and value: Clear communication (simple explanations, crisp documentation) Pragmatic engineering (secure, maintainable, and testable solutions) A “teach and scale” mindset - enabling others through reusable patterns, demos, and training content Frequent iteration with stakeholders and strong ownership from idea → MVP → improvement cycles An intern in this department can expect to learn: Designing and delivering AI trainings (hands-on workshops, demos, office hours) Building LLM-powered agents: tool use, retrieval (RAG), structured outputs, guardrails Translating business needs into technical designs, success metrics, and rollout plans Building lightweight automations and workflows (APIs, integrations, data pipelines) Evaluating and improving AI quality (test sets, error analysis, prompt/agent iteration) Working in an enterprise context: documentation, security-minded development, and stakeholder collaboration

Requirements

• Good coding skills in Python and/or JavaScript/TypeScript
• Experience building apps/APIs
• Interest in applied AI/LLMs and willingness to iterate using user feedback
• Clear communicator (able to explain technical concepts to non-technical partners)

Responsibilities

• AI Trainings & Enablement: help create training content, run sessions/office hours, write “how-to” guides and playbooks
• Custom Agents: prototype and build agents for specific workflows; create lightweight UI/integrations; add feedback loops/telemetry
• Trust Administration AI: support pipelines for classification/extraction; build evaluation sets; improve reliability with schemas + retrieval
• Automation: identify repetitive processes and implement scripts/workflows/dashboards to streamline operations

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed