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 location
What you’ll be doing
Developing the upcoming era of autonomous AI for colleagues and customers is our focus, ensuring safety, security, and scalability.
As a Lead Software Engineer, you’ll set technical direction and lead multiple teams to design, build and run AI agents on Google Cloud, blending open‑source tools with GCP native services. You’ll stay hands‑on when needed and help grow engineering capability, all while delivering outcomes at pace in a regulated environment.
Working closely with Engineering, Product and Architecture teams, you’ll define the strategy and technical direction for agentic AI services, establishing standards, patterns and quality expectations.
You’ll lead and develop multiple engineering teams, fostering a high‑performing, inclusive culture while delivering resilient and scalable solutions.
You’ll design, build and operate AI agents on Google Cloud using services such as Vertex AI, Cloud Run, GKE, BigQuery and IAM, integrating securely with enterprise systems and following modern engineering practices including CI/CD, automated testing, SRE and observability.
You’ll have responsibility for the full solution lifecycle, ensuring platforms are secure, compliant, resilient and cost‑effective through robust guardrails, model evaluation, FinOps and effective security controls.
You’ll also drive engineering excellence by developing reusable components and standards, leading vendor engagements, simplifying infrastructure and influencing senior stakeholders across the platform.
Qualifications
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 sound 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 QA, observability, optimizing performance, and managing incidents.
- Solid knowledge of security, privacy and compliance in regulated environments; confident working with Risk, Security and Legal teams.
- Excellent communication and stakeholder engagement skills, with the ability to simplify complex concepts into clear, outcome‑focused narratives.
- 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.
Benefits
We offer a wide‑ranging benefits package, including a generous pension contribution of up to 15%, an annual performance‑related bonus, flexible benefits that adapt to your lifestyle (e.g., discounted shopping), 30 days’ holiday plus bank holidays, wellbeing initiatives and generous parental leave policies.
Diversity & Inclusion
We are committed to creating an environment in which everyone can thrive, learn and develop. We provide reasonable workplace adjustments for colleagues with disabilities and guarantee interviews for applicants who meet the minimum criteria for the role and have a disability, long‑term health condition or neurodivergent condition.
Application
Ready to make an impact? Apply today.
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