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Forward Deployed Engineer, Data & Analytics
Marsh McLennan. Embed within client teams to understand workflows and frame business problems and commercial opportunities as AI problems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, building, and deploying AI solutions, with a strong focus on Python programming, system design, and client engagement. Proven ability to lead projects from inception to production while mentoring teams and driving technical excellence.
Highest-signal resume keywords
Python ProgrammingAI Solution DeliveryClient EngagementSystem DesignMachine Learning Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonC#/.NETJavaRustC++APIsSQLCloud PlatformsCI/CDLLMs
Soft Skills
Clear CommunicationEntrepreneurial MindsetProblem SolvingMentoringCollaboration
Tools & Technologies
AzureAWSVersion ControlEvaluation HarnessesRetrieval Pipelines
Industry Keywords
Financial ServicesBusiness StakeholdersTechnical DirectionAccess ConsiderationsInnovation
Tech Stack
Tools & technologiesAWSAzureCloudJavaPythonRustSQLC++.NET
About the role
Key responsibilities & impact- Embed within client teams to understand workflows and frame business problems and commercial opportunities as AI problems
- Lead delivery end to end: design, build, test, deploy and iterate AI solutions in live production environments
- Set technical direction and defend architectural decisions to client engineering and security teams
- Establish integrations, access and hosting with client IT
- Prove value in production at small scale and productise and scale successful solutions
- Build a pipeline of new use cases and help clients build their own capability
- Bring on other engineers and raise delivery standards through review, pairing and mentoring
- Challenge systems and processes through technical excellence and innovation
- Track AI and technology trends
Requirements
What you’ll need- Excellent programming and system design skills
- Recent hands-on experience in Python and ideally one of C#/.NET, Java, Rust or C++
- Track record of taking AI or machine learning systems into production, including substantial experience with LLMs, prompt design, agentic workflows, evaluation harnesses and retrieval pipelines
- Experience with APIs and integrations, SQL, cloud platforms (Azure or AWS), version control, CI/CD, security and access considerations
- Proven ability to own a project from start to finish in an ambiguous setting
- Experience working directly with clients or business stakeholders
- Ability to communicate clearly and professionally with clients and colleagues at every level, including non-technical business users
- Entrepreneurial nature and ability to take ownership
- Desire to understand and solve business problems, build domain knowledge and increase market understanding
- Undergraduate degree in computer science, mathematics, engineering or a related field
- Financial services experience is a bonus, but is not essential
Benefits
Comp & perks- Hybrid work with flexibility to work remotely and collaborate in the office
- Professional development benefits from working together in the office
- Diverse, inclusive and flexible work environment
- Reasonable adjustments for candidates with disabilities
- Opportunity to work on a wide variety of projects alongside exceptionally talented people
- Learn from industry experts across Oliver Wyman's client base
- Empowerment and trust to leverage and extend skill sets
- Exposure to leading-edge AI projects and commercial-value delivery