Role Summary
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.
Why Join Us?
- At WTW, you’ll be part of our Health, Wealth & Career (HWC) segment—using 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 help deliver innovative, AI‑driven solutions directly to external clients, turning complex problems into scalable outcomes.
- 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, offering remote flexibility with occasional in‑office time to build strong relationships and collaborate effectively with stakeholders.
The Role
The 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—including .NET, Azure, SQL, and 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.
Responsibilities
- Design and build AI‑enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision‑support tools using foundation models, retrieval‑augmented generation, structured outputs, and orchestration frameworks.
- Work directly with business teams, product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working technical solutions.
- Build and tune LLM workflows, prompt strategies, schema‑driven extraction, tool‑calling patterns, agent orchestration, evaluation loops, and human‑in‑the‑loop controls.
- Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services.
- Ensure AI solutions meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support.
- Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness.
- Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI‑enabled platforms and services.
- Prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content in collaboration with engineering, data, and business teams.
- Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into the AI delivery lifecycle.
- Support users through demos, pilots, training, feedback loops, documentation, and iterative improvement so that deployed AI solutions create measurable business value.
Qualifications
- Significant professional experience in software engineering, technical leadership, solutions architecture, or platform engineering, ideally in enterprise‑scale environments.
- Proven ability to design and deliver production applications using modern engineering practices, including APIs, distributed systems, microservices, automated testing, CI/CD, observability, and cloud platforms.
- Hands‑on experience building AI‑enabled systems, such as LLM pipelines, document extraction, structured output generation, AI‑assisted analytics, prediction interfaces, or agentic workflows.
- Experience working with business‑critical systems where reliability, maintainability, operational support, and measurable business impact are essential.
- Collaborated with data scientists, product managers, QA teams, architects, security teams, and senior stakeholders.
- Track record of mentoring engineers, leading technical delivery, establishing engineering standards, and influencing teams beyond direct line management.
Benefits
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.
Secure your future with a defined contribution pension scheme, featuring matched contributions up to 10% from the company.
We support your growth and balance with hybrid working options, an employee assistance programme, and a fully paid volunteer day to make a difference in your community. You can also opt into additional perks, including an electric vehicle car scheme, share scheme, cycle‑to‑work programme, dental and optical cover, critical illness protection, and more.
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
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