Senior AI Engineer

Marsh McLennanCharlotte, NC
Hybrid

About The Position

Mercer Marsh Benefits (MMB) is a leading global consultancy that specializes in employee benefits, workplace wellness, and health insurance. MMB is seeking to appoint a hands-on, full-stack Senior AI Engineer to deliver a strategically key AI-first software product. The Senior AI Engineer combines solution architecture and engineering. The role designs and delivers high‑quality features using AI and enables teams to use AI tooling effectively and responsibly. The Senior AI Engineer provides architectural expertise, oversees design quality, and builds production-ready solutions, balancing strategic thinking with AI enabled hands-on delivery.

Requirements

  • Senior experience in solution architecture and hands-on engineering roles for key software applications, particularly SaaS.
  • Strong experience of AI-first applications and agentic technologies.
  • Strong proficiency with AI-enabled development and productivity tools.
  • Practical experience embedding AI/LLMs into the SDLC (prompt engineering, LLM‑assisted development, automated model tests and model CI/CD).
  • Proven ability to design and deliver complex solutions end to end.
  • Strong communication, influence, and decision-making skills.
  • Experience deploying and operating containerized workloads on Kubernetes.
  • Comfortable with full‑stack development: modern front-end (React + TypeScript or equivalent), back-end services (Python).
  • Knowledge of relational databases (Postgres), key‑value/NoSQL (Mongo), ETL basics and schema management.

Nice To Haves

  • Problem solving and critical thinking skills: you can simplify complexity, and bring creative, elegant solutions to solve complex challenges.
  • Ability to ‘talk business’ and collaborate effectively with non-technical colleagues and rapidly relate business opportunities to the technology that will deliver them.
  • Experience delivering large-scale, complex, business-critical, globally deployed software products.
  • Great communication and interpersonal skills, comfortable working in a distributed environment, with an ability to form great working relationships across teams, locations, and time zones.

Responsibilities

  • Design end-to-end solutions aligned with business goals, architectural standards, security and reliability requirements, and operational needs.
  • Build and deliver business value, using AI-enabled tools to improve speed, quality, and consistency.
  • Guide and support teams adopting AI-assisted delivery approaches, providing practical patterns and guardrails.
  • Make sound technical decisions in complex or ambiguous environments, identifying trade-offs and improvement opportunities.
  • Support cross‑functional coordination across dev, product, business, security, data and platform teams.

Benefits

  • professional development opportunities
  • interesting work
  • supportive leaders
  • vibrant and inclusive culture
  • collaborate with talented colleagues to create new solutions and have impact for colleagues, clients and communities
  • range of career opportunities
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