This role will primarily focus on providing technical capability to the ICT Consultancy business on their technology and related IT requirements with a focus on AI to execute client proposals and projects. There may be direct support to key client projects as required. The primary focus is on how AI will help the ICT Consultancy business to enhance automation, delivery velocity, reliability, and operational maturity. The role blends technical delivery and AI‑driven engineering, ensuring that CTS implementation projects are delivered consistently while developing and maintaining intelligent automation frameworks and architectures that support operational and cross‑functional technology teams. Exciting UK based opportunity, collaborating with our team in London and Reigate, UK. Ideally based in the UK commutable to those two locations but remote working is acceptable from specific locations in Europe where our business unit has a significant presence (. Cambridge UK, Cologne Germany, Prague Czech Republic and Milan Italy).
The Role
The responsibilities will include:
1. Help to design, build, and maintain AI‑augmented DevOps pipelines, integrating LLM‑powered tooling, automated testing, code generation, observability, and environment provisioning.
2. Develop automation for operational workflows (permissions, tagging, remediation tasks, infrastructure housekeeping, monitoring pipelines)
3. Help to build foundational components that allow delivery teams to benefit from AI‑assisted operations, such as intelligent event triage, automated runbooks, and anomaly detection.
4. Assist with the adoption of modern DevOps practices: GitOps, IaC (Terraform), CI/CD pipelines (Azure DevOps/GitHub Actions), and container/cloud‑native architectures.
5. Implement as necessary any and all of the security processes required for operational suitability within WTW for solutions (including SAST and DAST processes)
6. Ensure operational stability, observability, and controlled evolution of AI and agentic systems for the ICT Consultancy business
7. Maintain & support AI tools and AI based systems once deployed and help with onboarding & offboarding
8. Ensure data generation and monitoring (production grade telemetry, traceability, evaluation, regression control ) of AI solutions allowing for AI system performance optimization over time
9. Develop and implement scalable and reliable build processes for AI solutions
10. Identify and feedback inefficiencies in AI solutions and ensure suitable prioritisation to drive continuous optimisation
11. Work with the ICT consultancy practice to ensure that they understand best practices for secure application development life cycle
12. Provide clear communication of, outstanding deliverables, and any noted risks to senior stakeholders
13. Ensure compliance with WTW standards and policies from Information Cyber Security for any AI solution
14. Produce detailed, high-quality documentation of all delivered work.