Senior AI Applications and Digital Experience Lead
Marsh McLennan (Marsh McLennan) · Insurance
- All Digital Experience jobs
- Insurance & Actuarial
- New York - 1166, United States of America
- Full time
Company:
Marsh CorporateDescription:
Marsh is seeking a highly experienced Senior AI Applications and Digital Experience Lead to provide principal-level technical leadership for digital experience and application development initiatives supporting our CFO organization. Based in our US main office, this role will be strongly hands-on and will help guide architecture, engineering standards, technical design, and delivery across AI, ML, data, and application engineering efforts. We are looking for a proven technical leader who can help shape the next generation of enterprise digital products in a high-performance, product-oriented environment.
We will count on you to:
- 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 across solutions built with Python, FastAPI, ReactJS, Kubernetes, Docker, MongoDB, PostgreSQL, GitHub, CI/CD, unified pipelines, and Databricks.
- Partner with data and ML engineers to support forecasting, predictive analytics, and finance-oriented data workflows.
- Mentor engineers, influence technical direction across multiple workstreams, and help elevate engineering practices across the team.
What you need to have:
- 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.
- Strong experience with Python, FastAPI or equivalent backend frameworks, ReactJS or similar frontend technologies.
- Strong experience with Kubernetes, Docker, MongoDB, PostgreSQL, CI/CD, and Git-based workflows.
- Experience with Databricks, ML-enabled products, forecasting/predictive use cases, and AI/agentic solutions such as LangChain and GPT-based applications.
- Strong understanding of software architecture, observability, scalability, security, and production operations.
- Demonstrated ability to mentor engineers and provide technical direction across multiple workstreams.
What makes you stand out:
- Experience at big-tech companies or similarly strong product engineering organizations.
- Experience building enterprise digital products with a strong user experience and application engineering orientation.
- Familiarity with finance, FP&A, controllership, or financial reporting-related systems.
- Experience in modernization, refactoring, and technical uplift of engineering environments.
- Familiarity with MLOps, AI observability, and model or application lifecycle tooling.
- Strong stakeholder partnership skills across product, engineering, design, and business teams.
- Experience influencing engineering culture, technical standards, and platform direction beyond one immediate team.
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
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