Senior AI Engineer

Everything we do within WTW Global Technology has a global focus at its heart. We aim to provide colleagues with consistent technology, experiences and operations wherever possible.

The Senior Director – AI Engineering will shape and deliver WTW’s central, enterprise-wide AI engineering capability as a senior expert within Global Technology. Working closely with Architecture, Information Security, lines of business and business users, this role will provide senior technical advisory, define engineering direction, and establish the shared frameworks, reusable patterns and reference implementations that enable teams across WTW to develop AI solutions safely, consistently and at scale.

The role applies deep specialist knowledge of generative AI, agentic systems, enterprise platforms and engineering governance to influence strategic decisions, guide complex technical delivery and solve ambiguous problems across related disciplines. It has end-to-end ownership of both build and run activities for central AI engineering capabilities, ensuring solutions are secure, governed, reliable and aligned to measurable business outcomes.

We are seeking a proactive and autonomous senior technology leader who combines broad enterprise technology understanding with deep hands-on expertise in production-grade generative AI and agentic solutions across enterprise AI platforms, model providers and orchestration frameworks. Relevant experience may include Microsoft Foundry, Copilot Studio, Lyzr, Anthropic Claude, Moveworks or similar technologies. The role may be performed in a remote or hybrid pattern from the US or Great Britain, with occasional domestic or international travel as required.

The Role

•    Shape the design, build and ongoing support of WTW’s central AI engineering frameworks, providing reusable foundations for lines of business to build upon.
•    Define technical direction for production-grade generative AI and agentic solutions across enterprise AI platforms, model providers and orchestration frameworks, including:
o    Enterprise AI development and orchestration platforms, including agent frameworks, declarative and custom-engine agents, plugins, skills, connectors and extensions.
o    Large language models and model-provider APIs, including tool use, governed integration patterns and protocols such as the Model Context Protocol.
o    Moveworks and other agentic automation and employee-support platforms.
•    Establish shared patterns, reference architectures, SDKs and reusable components, including prompt libraries, retrieval pipelines and tool/connector catalogues, to accelerate safe AI adoption across the business.
•    Act as a senior expert advisor to lines of business and business stakeholders, assessing workflow fit, validating use cases and translating business needs into secure, scalable AI solution patterns.
•    Partner with Architecture and Information Security to embed governance, responsible AI and security controls into the AI platform by design, including identity, data protection, content safety and auditability.
•    Build and operate context engineering, retrieval-augmented generation (RAG) and agent orchestration capabilities, integrating enterprise data sources through secure, governed connectors.
•    Define and implement large language model operations (LLMOps) practices, including evaluation, testing, prompt and model versioning, monitoring and observability, to ensure quality, reliability and cost efficiency in production.
•    Serve as a senior technical escalation point for AI services, leading investigation, root cause analysis and remediation of issues impacting production AI solutions.
•    Influence adoption of new AI capabilities by coordinating technical messaging, implementation guidance and alignment across impacted teams and lines of business.
•    Create, maintain and govern technical documentation, including design documents, architecture decision records, runbooks and developer guidance for consuming central AI frameworks.
•    Identify engineering and operational improvement opportunities, articulate recommendations and lead delivery of improvement initiatives across the AI engineering practice.
•    Guide and mentor AI engineers across WTW by sharing expertise, reviewing solution approaches and setting engineering standards for building on central AI frameworks.
•    Evaluate emerging AI technologies, tools and platforms, and define adoption strategies and roadmaps for enterprise use.
•    Maintain a strong information security and responsible AI posture, ensuring risk mitigation and adherence to data protection, model governance and applicable regulatory requirements.
•    Engage directly with business users and stakeholders to understand workflows, validate AI solutions in real-world contexts and ensure capabilities deliver tangible business value.
 

What you'll bring

•    Extensive experience of software, platform or AI engineering experience, including significant hands-on experience building and supporting production generative AI solutions in large enterprise environments.
•    Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines.
•    Practical experience designing, building and deploying AI agents using enterprise AI platforms, orchestration frameworks or comparable technologies, including declarative agents, custom-engine agents, connectors and extensions.
•    Hands-on experience integrating with large language models via APIs, including tool use, governed data access and emerging interoperability patterns such as the Model Context Protocol.
•    Strong understanding of generative AI engineering fundamentals, including:
o    Prompt engineering and context design.
o    Context engineering, retrieval-augmented generation (RAG), embeddings and vector search.
o    Agent orchestration, multi-agent patterns and skills/plugin development.
•    Proficiency in Python and/or C#/.NET, with experience building secure, well-tested APIs and integrations.
•    Experience designing and building scalable, distributed systems and production services.
•    Experience with cloud-based AI, data, identity and governance services, ideally including Azure AI, Azure OpenAI, Microsoft Entra ID, Microsoft Purview, Microsoft Graph or comparable enterprise cloud services.
•    Proficiency with large language model operations (LLMOps) and engineering best practice, including:
o    Evaluation, testing and guardrails.
o    Prompt, model and configuration versioning.
o    Monitoring, observability and cost management.
•    Practical knowledge of AI governance, responsible AI and security, including data protection, identity and access management, content safety and model risk management.
•    Familiarity with the regulatory landscape for AI, for example the EU AI Act and the NIST AI Risk Management Framework, and the ability to operationalise requirements through engineering controls.
•    Proficiency with DevOps and automation, including CI/CD, infrastructure as code and source control, to support reliable, repeatable delivery.
•    Demonstrated ability to evaluate complex and ambiguous technical challenges through analysis of multiple sources of information and sound interpretive judgment.
•    Strong stakeholder management and relationship-building skills, with experience building critical partnerships across technology, business, security, architecture and vendor teams.
•    Experience working directly with business users or product stakeholders to translate workflow needs into AI solution designs, validate outcomes and ensure solutions deliver practical business value.
•    Demonstrated technical leadership through mentoring, advisory, design review and influence across teams, often without direct authority.
•    Proactive, improvement-focused mindset, with the ability to operate effectively in evolving environments, shape technical recommendations and drive outcomes with minimal supervision.

Preferred Qualifications
•    Experience in financial services, insurance, consulting or another highly regulated industry.
•    Experience shaping or supporting enterprise-wide AI transformation initiatives.
•    Familiarity with enterprise productivity-platform extensibility, such as Teams apps, message extensions, Microsoft Graph connectors or comparable collaboration and workflow integrations.
•    Experience supporting adoption of AI capabilities through user validation, feedback loops, enablement and continuous improvement.
•    Experience contributing to enterprise technology roadmaps, standards or governance forums.

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 candidatehelpdesk@wtwco.com