Forward Deployed AI Engineer

Salary: £50,000 - 90,000 per year

Requirements:

• 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.
• 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.

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.
• Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content.
• 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.

Technologies:

• AI
• CI/CD
• Cloud
• Support
• LLM
• Security
• microservices
• ASP.NET
• Angular
• Architect
• Azure
• React
• SQL

More:

We are WTW, working within our Health, Wealth & Career (HWC) segment to use data, technology, and deep expertise to shape the future of work. We collaborate across lines of business including Retirement, Health & Benefits, and Workforce Strategy, and as the role evolves we will also deliver innovative AI-driven solutions directly to external clients. This is a hybrid role with the flexibility of remote working alongside occasional time in the office. We offer a strong benefits package including 25 days of annual leave plus an extra WTW day, private healthcare, life insurance, group income protection, regular health assessments, a defined contribution pension scheme with matched contributions up to 10%, hybrid working, an employee assistance programme, a fully paid volunteer day, and optional perks such as an EV car scheme, share scheme, cycle-to-work programme, dental and optical cover, and critical illness protection. We are committed to equal employment opportunity and provide application, interview, workplace adjustments, and accommodations to all applicants.

last updated 34 week of 2026