AI Engineer

Everything we do at WTW in terms of Global Technology has a global focus at its heart. We want to provide our colleagues with consistency in technology, experience and operations wherever possible.

The role contributes to WTW's central, enterprise-wide AI engineering capability by building, testing, documenting, and supporting moderately complex components of shared AI frameworks, reusable patterns, and reference implementations. Working with senior engineers, Architecture, Information Security, lines of business, and business users, you will apply broad AI engineering knowledge to help teams develop AI solutions safely, consistently, and at scale.

We are seeking a motivated AI Engineer with practical hands-on experience developing generative AI and agentic solution components across enterprise AI platforms, model providers, and orchestration frameworks. The role is expected to contribute to standard technical projects, address routine technical challenges using established practices, escalate more complex issues appropriately, and collaborate effectively across related teams. Relevant experience may include Microsoft Foundry, Copilot Studio, Lyzr, Anthropic Claude, Moveworks, or similar technologies. We are open to candidates working in a 'remote' or 'hybrid' pattern located in the US or Great Britain, with occasional domestic or international travel as required.

The Role

•    Build, test, document, and support moderately complex components of WTW's central AI engineering frameworks, contributing to reusable foundations used by lines of business.
•    Develop generative AI and agentic solution components across enterprise AI platforms, model providers, and orchestration frameworks, including but not limited to:
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
•    Apply shared patterns, reference implementations, SDKs, and reusable components including prompt libraries, retrieval pipelines, and tool/connector catalogues, escalating design questions or exceptions to senior engineers and architects.
•    Work with lines of business and business stakeholders to understand defined use cases, support workflow assessment, prototype solution components, and validate outcomes against agreed requirements.
•    Implement governance, responsible-AI, and security controls under established standards, including identity, data protection, content safety, and auditability.
•    Build and support context engineering, retrieval-augmented generation (RAG), and agent orchestration components, integrating enterprise data sources through approved secure connectors.
•    Apply LLMOps practices such as evaluation, testing, prompt and configuration versioning, monitoring, and observability to support quality, reliability, and cost awareness in production.
•    Assist with technical support for AI services by investigating routine incidents, applying established troubleshooting practices, documenting findings, and escalating complex production issues as appropriate.
•    Coordinate defined changes for AI capabilities, keeping relevant teams informed of progress, impacts, and implementation details.
•    Create and maintain practical technical documentation, including design notes, runbooks, implementation guidance, and support information for consuming the central AI frameworks.
•    Identify incremental opportunities for engineering and operational improvement, contribute recommendations, and support implementation of agreed improvements.
•    Share knowledge with peers and junior colleagues, support a collaborative engineering environment, and follow established engineering practices and standards.
•    Contribute to evaluation of emerging AI technologies, tools, and platforms by researching options, testing defined scenarios, and summarising findings for senior review.
•    Maintain a strong information security and responsible-AI posture by following data protection, model governance, and applicable regulatory requirements.
•    Develop effective working relationships with team members, related teams, and stakeholders, using clear communication to support collaboration and task completion.


 

What you'll bring

•    Software or AI engineering experience, including hands-on experience building or supporting generative AI solution components.
•    Broad working knowledge of AI engineering concepts, systems, and practices, with the ability to perform moderately complex technical project activities.
•    Practical experience building or 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 awareness of emerging interoperability patterns such as the Model Context Protocol.
•    Solid 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 concepts and skills/plugin development
•    Proficiency in Python and/or C#/.NET, and experience building secure, well-tested APIs and integrations.
•    Experience contributing to scalable services or integrations in production environments, working within established engineering standards and delivery practices.
•    Working 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.
•    Familiarity with LLMOps and engineering best practice, including evaluation, testing, guardrails, prompt and configuration versioning, monitoring, observability, and cost awareness.
•    Practical awareness of AI governance, responsible AI, and security, including data protection, identity and access management, content safety, and model risk management.
•    Awareness of the regulatory landscape for AI, including examples such as the EU AI Act and the NIST AI Risk Management Framework, and how engineering controls support compliance.
•    Familiarity with DevOps and automation including CI/CD, infrastructure as code, and source control to support reliable, repeatable delivery.
•    Ability to address routine technical challenges through established procedures and practices, escalating more complex issues appropriately.
•    Good communication and relationship-building skills, with the ability to collaborate effectively across team members, related teams, technical stakeholders, and vendors.
•    Experience working with business users or product stakeholders to understand defined workflow needs, support solution validation, and ensure assigned work contributes to practical business value.
•    Proactive and improvement-focused mindset with the ability to take ownership of assigned tasks and deliver outcomes with appropriate guidance.
•    Able to assimilate, analyse, and interpret technical information to support sound decisions within own area of responsibility.

Preferred Qualifications:

•    Experience in financial services, insurance, consulting, or other highly regulated industries.
•    Experience contributing to 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.

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