Technical Program Lead, AI/ML

About the role

Marsh is seeking a highly experienced Technical Program Lead, AI/ML to provide principal-level technical leadership for digital experience and application development initiatives supporting its CFO organization. Based in the US main office, the role is strongly hands-on and guides architecture, engineering standards, technical design and delivery across AI, ML, data and application engineering efforts.

Key responsibilities

• Provide principal-level technical leadership for the design and delivery of digital products, applications and AI/ML-enabled platforms.
• Stay hands-on in architecture, design reviews, code reviews, prototyping, troubleshooting and solving complex engineering challenges.
• Guide engineering direction for solutions built with Python, FastAPI, ReactJS, Kubernetes, Docker, MongoDB, PostgreSQL, GitHub, CI/CD, unified pipelines and Databricks.
• Partner with data and ML engineers on forecasting, predictive analytics and finance-oriented data workflows.
• Mentor engineers, influence technical direction across workstreams and help elevate engineering practices.

Required profile

• 15+ years of software engineering experience.
• Strong track record as a principal engineer, distinguished technical lead or senior architect-level engineer.
• Deep hands-on expertise in modern application, platform and digital product engineering.
• Ability to mentor engineers and give technical direction across multiple workstreams.
• Nice to have: big-tech or strong product engineering experience, enterprise digital product experience, familiarity with finance, FP&A, controllership or financial reporting systems, modernization and refactoring experience, MLOps and AI observability knowledge, stakeholder partnership skills and experience shaping engineering culture and standards.

Required skills

• Python, FastAPI or equivalent backend frameworks, ReactJS or similar frontend technologies
• Kubernetes, Docker, MongoDB, PostgreSQL, CI/CD and Git-based workflows
• Databricks, ML-enabled products, forecasting and predictive use cases, and AI/agentic solutions such as LangChain and GPT-based applications
• Software architecture, observability, scalability, security and production operations

What we offer

• Base salary range of $139,500 to $278,900, with possible performance-based incentives.
• Health and welfare benefits, tuition assistance, 401K and other retirement programs, and employee assistance programs.
• Professional development opportunities and a hybrid work arrangement, with at least three days per week in the office.