Lead Cloud Platform Engineer, AI Platform
i.AI
| Company | i.AI |
| Category | Engineering |
| Location | London |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 26 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Applications for this position close on 2nd August at 23:59 UK Time
Incubator for AI, i.AI
Help build the platform behind some of the most ambitious AI products in government
This is not a conventional platform engineering role.
At i.AI, you will help build the cloud platform that enables teams to deliver frontier AI products into real world public services. Your work will shape the foundations that allow AI systems to move from idea to production securely, reliably and at pace.
You will join a highly capable engineering team with a flat structure, strong technical standards and a high degree of autonomy. This is an environment for engineers who want to solve hard problems, influence architecture, improve how teams build, and work on technology that has visible impact beyond the organisation itself.
If you are excited by platform engineering, modern cloud infrastructure, AI enabled systems and the challenge of making advanced technology work in the real world, this is a rare opportunity to do all of that in one role.
About the role
We are looking for a Lead Cloud Platform Engineer to help design, build and operate the platform that powers AI product delivery.
This is a hands-on technical leadership role for an engineer who combines deep cloud platform expertise with broad strength across architecture, security, software engineering and AI platform concerns. 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. That means taking ambiguous problems, making clear architectural decisions, and building secure, scalable cloud components that teams can depend on.
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. You will also actively use GenAI capabilities to reduce operational toil, introduce intelligent guardrails and streamline developer workflows.
Technical leadership: You will help shape platform direction through strong engineering judgement and hands on delivery. You will mentor other engineers, introduce better patterns and balance the needs of individual teams with platform wide coherence.
Why join i.AI
This is a chance to work on platform engineering at a point where cloud, software delivery and AI are converging fast.
You will have the opportunity to:
Build for real production AI use cases rather than isolated experiments
Work with frontier models and modern AI tooling as part of day to day engineering
Solve platform problems that span reliability, developer experience, security and AI enablement
Influence architecture and technical standards in a high trust, high agency team
Contribute to products with meaningful real world impact
For the right engineer, this role offers a combination that is hard to find elsewhere: complex platform work, genuine technical ownership, access to advanced AI
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