Forward Deployed Engineer – Data & Analytics

Marsh McLennan

. Embed within client teams to understand workflows and frame business problems as AI problems .

Posted 9/28/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI solution delivery, including design, build, test, and deployment in production environments. Proficient in programming, system design, and client engagement, with a strong focus on integrating AI technologies and enhancing delivery standards.

Highest-signal resume keywords

Python ProgrammingAI Solution DeliveryExperience with LLMsCloud Platforms (Azure or AWS)Client Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

System DesignMachine LearningPrompt DesignAgentic WorkflowsEvaluation HarnessesRetrieval PipelinesAPIs and IntegrationsSQLCI/CDVersion Control

Soft Skills

Clear CommunicationProblem SolvingMentoringCollaborationClient Relationship Management

Certifications & Qualifications

Undergraduate Degree in Computer ScienceMathematicsEngineering

Industry Keywords

Financial Services ExperienceTechnical ExcellenceInnovationAccess and Security ConsiderationsBusiness Stakeholder Engagement

Tech Stack

Tools & technologies

AWSAzureCloudJavaPythonRustSQLC++.NET

About the role

Key responsibilities & impact

Embed within client teams to understand workflows and frame business problems 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 foundations 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 develop their own capabilities
Bring on engineers and raise delivery standards through review, pairing and mentoring
Challenge systems and processes through technical excellence and innovation
Keep abreast of 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
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
Desire to understand and solve business problems, build domain knowledge and increase market understanding
Strong academic background with an 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
Opportunity to work on a wide variety of projects alongside exceptionally talented people
Learn from industry experts across Oliver Wyman's client base
Opportunity to make an impact from day one and extend skill sets
Diverse, inclusive and flexible work environment
Reasonable adjustments during the recruitment process for candidates with disabilities