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Description
We’re looking for a highly skilled Forward Deployed Agentic AI Engineer to join our Health, Wealth & Career (HWC) segment—where you’ll design and deliver cutting-edge Agentic 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—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 We are looking an experienced Lead Engineer or Technical Lead with a strong enterprise engineering background and a passion for building and deploying agentic AI solutions that solve real-world business challenges. You will bring deep expertise across modern full-stack technologies, distributed systems, cloud-native architectures, and observability, combined with hands-on experience developing enterprise-grade AI applications.
You will design, build, and deploy intelligent AI agents, copilots, and automation solutions using Anthropic Claude, large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP), and agent orchestration frameworks. Experience developing multi-agent workflows, integrating AI solutions with enterprise systems, and taking solutions from proof of concept to production at scale will be highly valued.
Acting as a bridge between business and technology, you will work closely with product, data science, architecture, and engineering teams to identify opportunities, solve complex challenges, and deliver measurable business outcomes. As a technical leader, you will mentor engineers, influence architecture decisions, resolve production challenges, and help shape how agentic AI is adopted and scaled across the organisation, transforming innovative prototypes into secure, reliable, and enterprise-grade solutions.
AI solution delivery: 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.
Forward deployed problem solving : 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.
LLM and agent engineering: Build and tune LLM workflows, prompt strategies, schema-driven extraction, tool-calling patterns, agent orchestration, evaluation loops, and human-in-the-loop controls.
Enterprise integration: Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services.
Production engineering: Ensure AI solutions meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support.
Evaluation and quality assurance: Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness.
Architecture and technical leadership: Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI-enabled platforms and services.
Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content.
Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into the AI delivery lifecycle.
Adoption and enablement: Support users through demos, pilots, training, feedback loops, documentation, and iterative improvement so that deployed AI solutions create measurable business value.
Qualifications
What you'll bring
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.
Must have experience building and deploying agentic AI solutions using platforms such as Anthropic Claude, including AI agents, tool orchestration, reasoning workflows, Model Context Protocol (MCP), and enterprise-scale automation use cases.
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.
Experience collaborating 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.
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. xrexnqw 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
