AI Platform Engineer Job Edinburgh area,City of Edinburgh Scotland UK,IT/Tech

The AI and Data Platforms team designs, builds and runs the platforms that enable our organisation to adopt AI and data capabilities. We own the full platform lifecycle, from architecture and engineering through to operations and continuous improvement
As an AI Platform Engineer, you’ll extend our platform capabilities, embed AI and automation into platform operations, and help teams across the business adopt AI solutions safely and effectively
This is a hands‑on engineering role that combines feature delivery with responsibility for resilience, observability, governance and measurable outcomes
You’ll work closely with Product Owners, Architects, Engineers, Security teams and business stakeholders to deliver secure, scalable and reliable platform capabilities
Design, build and deliver new platform capabilities across a multi‑cloud environment
Contribute to solution design, technical decisions and implementation
Build production‑ready services, APIs, automation and platform components
Apply modern engineering practices, including automated testing, CI/CD, infrastructure as code, security by design and observability
Take platform capabilities from initial design through to production use and ongoing improvement
Apply AI and agentic capabilities to improve platform operations and engineering workflows
Build automation and agents that support environment provisioning, onboarding, access management, fault diagnosis and remediation
Automate the operational lifecycle of environments, work spaces, resources, agents and permissions
Develop self‑service capabilities that reduce manual effort while maintaining appropriate controls
Evaluate emerging AI capabilities and recommend practical approaches to adoption
Design solutions that remain reliable and predictable when failures occur
Build for known failure modes using appropriate retry, isolation, recovery and service degradation patterns
Test recovery processes and use the results to strengthen platform resilience
Implement monitoring, alerting, telemetry and operational dashboards
Define and track service measures that reflect user needs and platform performance
Investigate and resolve operational issues, continuously improving platform reliability and user experience
Build reporting, telemetry and analytics that provide clear visibility of platform usage, cost, performance and outcomes
Support the definition and tracking of KPIs, OKRs and service measures
Develop reporting that demonstrates adoption and business value to technical stakeholders and senior audiences
Use operational and user data to guide platform decisions and continuous improvement
Work with engineering, data and business teams to design, integrate and support AI use cases
Help teams move AI use cases into secure and reliable production environments
Develop reusable patterns, standards, documentation and self‑service capabilities
Support user onboarding, enablement and go‑live activities
Share knowledge and promote consistent engineering practices across teams
Gather feedback and use it to improve the platform and user experience
Make sure platform capabilities align with enterprise security, governance, privacy and risk requirements
Support the explainability, auditability and transparency of AI‑enabled capabilities
Apply appropriate controls and guardrails throughout the AI lifecycle
Work with data governance, cataloguing, lineage and access‑management capabilities where required
Contribute to a strong control environment and support the responsible adoption of AI

What Success Looks Like

Delivering secure, scalable platform capabilities used by multiple business teams
Moving AI use cases into production with appropriate reliability, observability and governance
Replacing routine manual activity with…