We are looking for an AI Platform Engineer to drive our vision of AI-augmented engineering across our enterprise of 500+ engineers. In this role, you will empower our highly skilled workforce to deliver high-quality value to our clients faster and with a better Developer Experience (DevEx) than ever before. We need someone who combines deep technical expertise with practical platform engineering to create the scalable infrastructure, processes, and tooling that enable our teams to integrate AI into their development workflows safely and seamlessly.
Acting as both architect and hands-on builder, you will articulate our vision for AI-accelerated development practices, design platforms that embed AI at every phase of the SDLC, and champion adoption across our organization. We are seeking a highly skilled engineer who has recently specialized into AI technologies and can confidently guide our teams on both architecture and implementation.
Work Location: Reigate, United Kingdom (Hybrid working model)
The Role
Define and evolve the vision for AI-enabled SDLC practices, translating business and technical strategy into concrete platform capabilities and processes
Design and implement scalable AI platform infrastructure (SDKs, frameworks, deployment pipelines) that enables rapid, safe integration of AI into all phases of development—from coding and testing to deployment and monitoring
Build operational processes, templates, and playbooks that guide teams through AI implementation while maintaining consistency, quality, and auditability
Partner with teams across the organization to operationalize AI tools for SDLC acceleration (e.g., copilot-style code generation, test automation, documentation, performance analysis)
Create and maintain self-service tooling for model evaluation, prompt engineering, A/B testing, monitoring, and compliance validation
Establish and evolve patterns for data pipeline management, RAG/retrieval design, model versioning, endpoint management, and agentic orchestration
Develop comprehensive documentation, architectural guidance, runbooks, and examples that reduce onboarding time and accelerate team adoption
Evangelize AI-enabled practices through presentations, office hours, and direct team engagement—building credibility and driving adoption across the organization
Provide escalation pathways for architecture questions and unblock teams on complex integration challenges
Implement monitoring, observability, and governance systems that provide transparency without creating bottlenecks
Collaborate with security, compliance, and data teams to embed safety guardrails into platform capabilities
Participate in incident response and continuously harden the platform based on production learnings
What you’ll bring
Core Competencies
Extensive background in software or platform engineering across multiple SDLC phases (with a proven track record of leading large-scale, complex initiatives), with demonstrated expertise in infrastructure, developer tools, API design, or platform product development
Demonstrated, hands-on applied experience with LLMs, agentic frameworks, and GenAI systems (with proven hands-on experience)
Proven ability to design systems that abstract complexity and enable teams to self-serve at scale
Strong software engineering fundamentals (system design, testing, observability, operational excellence, SDLC practices)
Experience building or maintaining developer-facing platforms, SDKs, or internal tools
Comfortable articulating technical architecture, vision, and strategy to both technical and non-technical audiences
AI/ML & Ecosystem Knowledge
Hands-on experience with LLMs, agentic frameworks, and GenAI tooling (models, APIs, orchestration platforms)
Practical experience with RAG architectures, prompt engineering, fine-tuning workflows, and multi-agent systems
Experience with SDLC acceleration using AI (e.g., copilot-style tools, automated testing, code generation, documentation)
Familiarity with model deployment, versioning, inference optimization, and observability
Deep understanding of the rapidly evolving AI model and tooling landscape
Azure / Microsoft ecosystem experience advantageous but not mandated
Technical Skills
Proficiency in a range of languages, including Python, C#, JavaScript, or TypeScript
Experience with modern development practices (CI/CD, testing frameworks, containerization)
Extensive experience with cloud infrastructure (AWS, Azure, or GCP) and managed services
Strong problem-solving and systems thinking - able to design end-to-end solutions
Interpersonal & Influence
Exceptional communication skills with the ability to work across engineering, product, security, compliance, and leadership
Ability to present technical vision and architecture to both technical and non-technical audiences
Strong advocacy and influence skills - drive adoption through clarity, support, and relationship-building rather than authority
Empathy for developer experience; ability to understand and remove friction for end users
Comfort operating in ambiguity and rapidly evolving technical landscapes
Proven track record of building credibility within engineering organizations
Mindset
Initiative-driven: takes ownership of defining and evolving AI-enabled practices across the organization without needing a roadmap handed to them
Bridge-builder: comfortable spanning architecture, implementation, and team advocacy
Deeply committed to enabling others and multiplying team impact across 500+ engineers
Pragmatic - prefers safely shipping good solutions now over perfect solutions later
Learning-oriented - actively seeks to deepen AI knowledge while staying grounded in engineering fundamentals
Accountability - takes responsibility for platform reliability, team adoption, and driving measurable business outcomes
What we offer
Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.
We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.
Equal Opportunity Employer
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email [email protected]
