End Date: Tuesday 21 July 2026
Salary Range: £92,701 – £109,060
Flexible Working: We support flexible working.
Job Title
AI Engineer
Salary
£92,701 – £119,966
Location
Manchester
Hours
Full time
Working Pattern
Hybrid, 40% (or two days) in our Manchester office.
What you’ll be doing
Develop the next generation of autonomous AI for colleagues and customers, focusing on safety, security and scalability. Lead multiple engineering teams to design, build and run AI agents on Google Cloud, blending open‑source tools with GCP native services. Define strategy and technical direction with Engineering, Product and Architecture teams, establishing standards, patterns and quality expectations. Design, build and operate AI agents using Vertex AI, Cloud Run, GKE, BigQuery and IAM, integrating securely with enterprise systems and following modern engineering practices such as CI/CD, automated testing, SRE and observability. Oversee the full solution lifecycle, ensuring platforms are secure, compliant, resilient and cost‑effective through guardrails, model evaluation, FinOps and effective security controls. Drive engineering excellence by developing reusable components, leading vendor engagements, simplifying infrastructure and influencing senior stakeholders.
What we’re looking for
- Proficiency in Python and TypeScript with experience delivering production services (APIs, event‑driven systems, microservices), ideally on GCP.
- Proven technical leadership of large, multi‑team deliveries – setting strategy, making architectural decisions and enabling teams to deliver at pace.
- Hands‑on experience with agentic AI: building LLM‑powered applications/agents, tool use, orchestration, retrieval (RAG), prompt and safety engineering, evaluation and telemetry.
- Proficient knowledge of cloud‑native engineering: containers (GKE/Cloud Run), Terraform/IaC, CI/CD, automated quality assurance, observability, performance optimisation and incident management.
- Solid knowledge of security, privacy and compliance in regulated environments, and confidence working with Risk, Security and Legal teams.
- Excellent communication and stakeholder engagement skills, simplifying complex concepts into clear, outcome‑focused narratives.
Additional experience would be great
- Experience with Vertex AI Agent Builder/Agentspace, LangGraph, multi‑agent patterns or agent‑to‑agent protocols.
- Knowledge of data governance and model risk practices in financial services.
- Exposure to Azure/AWS or cross‑cloud patterns.
- Experience building communities of practice and engineering guilds.
Inclusive Workforce
We support diversity, equity and inclusion, offering reasonable workplace adjustments for colleagues with disabilities, long‑term health conditions or neurodivergent conditions. As a Disability Confident Leader we guarantee a fair interview process under the Disability Confident Scheme.
Benefits
- Generous pension contribution of up to 15%
- Annual performance‑related bonus
- Discounted shopping and other lifestyle‑adaptable benefits
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