Marsh
Consultancy
SeniorAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Engineer at Marsh. Skills: AI Engineering, Solution Architecture, Full-stack Development. Design end-to-end solutions. Build business value”
What You'll Achieve.
Deliver high-quality features using AI; Enable teams to use AI tooling effectively; Enable teams to use AI tooling responsibly; Build production-ready solutions; Improve speed using AI tools; Improve quality using AI tools; Improve consistency using AI tools
Industry & Context.
Simplify complexity; Solve complex challenges
In office 3 days per week
What They're Looking For.
Must Have
Senior experience in solution architecture, Hands-on engineering roles for key software applications, Experience with AI-first applications, Experience with agentic technologies, Proficiency with AI-enabled development tools, Proficiency with AI-enabled productivity tools, Practical experience embedding AI/LLMs into SDLC, Proven ability to design and deliver complex solutions end to end, Experience deploying containerized workloads on Kubernetes, Experience operating containerized workloads on Kubernetes, Comfortable with full-stack development, Comfortable with modern front-end development, Comfortable with back-end services development, Knowledge of relational databases, Knowledge of key-value/NoSQL databases, Knowledge of ETL basics, Knowledge of schema management
Nice to Have
Experience delivering large-scale software products, Experience delivering complex software products, Experience delivering business-critical software products, Experience delivering globally deployed software products
What You'll Do.
Design end-to-end solutions
Deliver business value
Guide teams adopting AI-assisted delivery
Support teams adopting AI-assisted delivery
Provide practical patterns for AI delivery
Provide guardrails for AI delivery
Make sound technical decisions
Identify improvement opportunities
Support cross-functional coordination
How You'll Work.
Team & Collaboration
Cross-functional coordination; Distributed environment; Across teams; Across locations; Across time zones
Communication Scope
Communication; Influence; Decision-making
Full Job Description
## Company: Marsh ## ## Description: **_What can you expect?_** 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. **_We will count on you to:_** * 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. **_What you need to have:_****__** * 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. * Comfor
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