At a Glance
- Tasks: Develop cutting-edge AI solutions for safety and scalability, leading engineering teams on Google Cloud.
- Company: Join a forward-thinking tech company in Manchester with a hybrid working model.
- Benefits: Enjoy a competitive salary, generous pension, performance bonuses, and flexible working options.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact by shaping the future of autonomous AI technology.
- Qualifications: Proficient in Python and TypeScript with experience in cloud-native engineering and AI applications.
The predicted salary is between 92701 - 109060 £ per year.
Salary Range: £92,701 - £109,060
Flexible Working: We support flexible working.
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
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
We think you need these skills to ace AI Engineer - (Grade "F")
Python
TypeScript
GCP (Google Cloud Platform)
AI Agent Development
CI/CD
Automated Testing
SRE (Site Reliability Engineering)
