AI Architect – UK

Rackspace Technology™ is a leading end-to-end, hybrid cloud and AI solutions company. We can design, build, and operate our customers’ cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products, and adopt innovative technologies. Named a best place to work by Glassdoor, Newsweek and Forbes, we attract and develop world-class talent to deliver a Fanatical Experience™ – so our customers can achieve better outcomes and stay ahead of what’s next.

The AI at Rackspace (AIR) team is an internal enabling team on a mission to bring AI capabilities to every corner of Rackspace engineering. We build reusable AI infrastructure, agentic workflows, and full stack applications that accelerate the business.

What You’ll Do

• Define and own the architecture strategy for AI platforms and applications across Rackspace
• Design scalable, reusable AI architecture patterns – including agentic systems, multi-agent workflows, RAG pipelines, and orchestration frameworks
• Define non-functional requirements including scalability, latency, cost efficiency, and security for AI systems
• Create and govern architecture standards, conduct design reviews, and ensure consistency across engineering teams
• Lead build vs. buy vs. partner decisions for AI tooling, frameworks, and infrastructure
• Ensure interoperability across teams, platforms, and services – including frontend, backend, AI, and Kubernetes-based infrastructure
• Own the long-term technical vision for the AI engineering function, beyond individual delivery cycles
• Partner with product, data, and platform teams to shape the AIR team’s technical roadmap
• Mentor and grow senior and mid-level engineers through architecture reviews, engineering standards, and technical guidance
• Serve as a key technical voice in cross-team architecture and governance discussions
• Champion responsible AI practices and AI-native software development standards across Rackspace

You’ll Thrive Here If You

• Have led engineering efforts end-to-end and can balance speed with quality
• Think about enabling other teams as much as shipping your own features
• Are opinionated about architecture but pragmatic about trade-offs
• Want to help shape what AI-native engineering looks like inside a major cloud company