Forward Deployed AI Engineer

We’re looking for a highly skilled Forward Deployed AI Engineer to join our Health, Wealth & Career (HWC) segment—where you’ll design and deliver cutting-edge AI solutions that solve complex, real-world business challenges and shape the future of work.

This is a hands-on, high-impact role where you’ll move beyond traditional development—partnering closely with stakeholders to translate ambiguous needs into scalable, AI-powered solutions that drive measurable value. You’ll own the full lifecycle—from architecture and build through to deployment and adoption—embedding AI into real workflows, integrating enterprise systems, and ensuring solutions are secure, reliable, and truly user-centric. Sitting close to the business, you’ll continuously refine solutions to maximise impact, efficiency, and adoption.

At WTW, you’ll be part of our Health, Wealth & Career (HWC) segment—where we use data, technology, and deep expertise to shape the future of work.

You’ll collaborate across multiple lines of business—such as Retirement, Health & Benefits, and Workforce Strategy—gaining exposure to diverse challenges and opportunities.

As the role evolves, you’ll also help deliver innovative, AI-driven solutions directly to external clients, turning complex problems into scalable outcomes.

Together, we’re creating more resilient, high-performing organizations—enhancing wellbeing, enabling better decisions, and driving sustainable business success at scale.

This is a hybrid role, with the flexibility of remote working alongside occasional time in the office to build strong relationships and collaborate effectively with stakeholders.

The Role This position is ideal for an experienced Solutions Architect, Staff Engineer, or Technical Lead with a strong enterprise engineering background and a passion for applying it to AI-enabled systems. You’ll bring deep expertise across modern full-stack technologies (.NET, Azure, SQL, React/Angular), along with experience in distributed systems, observability, and AI tooling such as LLMs, retrieval pipelines, and agentic workflows. Acting as a bridge between business and technology, you’ll work across product, data science, architecture, and engineering teams—mentoring others, resolving production challenges, and scaling prototypes into robust, enterprise-grade solutions that deliver real impact.