Lead Cloud Platform Engineer- i.AI

Job summary

DETAILS REFERENCE NUMBER 468917 SALARY £69,675 - £90,756 Salary is paid within the grade range shown below. As this is a GDAD role, the maximum salary includes a non-pensionable technical allowance, and successful candidates will be appointed somewhere within that range depending on assessment.

Benefits

Qualifications

• Solve platform problems that span reliability, developer experience, security and AI enablement
• We are looking for an experienced lead level engineer who is energised by building platforms that matter.
• Strong hands on experience building and operating cloud platforms in production, with AWS strongly preferred
• A mindset for applying AI internally, with experience or strong interest in using GenAI and LLM assisted tooling to reduce repetitive operational work and improve platform resilience
• Practical experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling and policy as code
• Experience supporting AI or ML systems in production, including model serving, MLOps, agentic orchestration, or prompt and inference cost trade offs
• Practical proficiency in software development and strong capability in infrastructure automation
• A product mindset, with a clear understanding that developer experience is critical to platform adoption
• Bonus experience includes multi cloud patterns, GPU or HPC workloads, or building platform telemetry and internal
• before they can be appointed.
• The level of security needed is security check .
• See our vetting charter .

Responsibilities

• AI, you will help build the cloud platform that enables teams to deliver frontier AI products into real world public services.
• You will join a highly capable engineering team with a flat structure, strong technical standards and a high degree of autonomy.
• You will operate as a T shaped engineer, bringing both technical depth and the judgement to work across disciplines when needed.
• You will play a central role in defining how platform capabilities are built, adopted and evolved.
• You will lead through technical credibility, not hierarchy, helping teams solve complex problems while raising the bar for engineering quality across the platform.
• WHAT YOU WILL WORK ON
• End to end platform engineering: You will own the technical delivery of platform initiatives from concept through to production.
• Platform as a product: You will work backwards from user needs to build technical capabilities that improve the developer experience.
• You will create reusable patterns for local development, pipelines, environments, observability and operational ergonomics, helping teams ship faster with less friction.
• AI workload enablement: You will support the delivery of production AI systems and agentic workloads.
• You will build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability and cost control.
• Intelligent automation and security: You will treat security as a first class engineering concern, building automated controls for software supply chain security, secrets management and policy as code.

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Security clearance