Senior Developer, AI & Emerging Tech

At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today. We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do.

As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.

The Senior Developer, AI & Emerging Tech is accountable for evolving the engineering and architecture of Burberry’s shared agentic AI platform, including the orchestration layer, observability, agent registry, prompt engineering patterns, model selection and evaluation frameworks that underpin Burberry’s enterprise agentic AI ambitions. Sitting within the centralised Architecture function under the Director, EA, the role will help shape the agentic AI platform strategy across IT and ensure the platform is scalable, secure, well-governed and aligned to business and technology priorities.

As a new capability for Burberry, the role carries a foundational responsibility to establish the engineering practices, tooling, documentation and knowledge base required to build and sustain this capability from the ground up.

• Design, build and maintain the shared agentic platform services that domain-aligned and platform teams consume to deploy agents at enterprise scale.
• Own the agent platform engineering layer, ensuring agents are orchestrated, registered, monitored and governed to enterprise standards.
• Develop and maintain prompt engineering patterns, model selection frameworks, operations and evaluation methodologies.
• Serve as the interim centre of agentic development expertise; progressively transfer knowledge and patterns to domain teams
• Collaborate with Enterprise and Solution Architects to define agentic orchestration strategy and platform requirements and ensure platform engineering aligns with the enterprise reference architecture, design patterns and technology standards.
• Work with integration engineers to ensure seamless agent-to-system connectivity, supporting integration standards and patterns for agents and enabling agents to consume enterprise tools, systems and services through the governed integration layer.
• Work with data platform engineers to ensure agents can consume shared data infrastructure, including knowledge bases, real-time data feeds, data lineage and governed metrics, in a way that is reliable, performant, secure and aligned to data governance and AI ethics standards.
• Support domain-aligned product teams and Enterprise IT platform teams in the build and deployment of domain-specific and platform-specific agents, providing platform services, engineering guidance and pattern compliance review without owning the agents themselves.
• Establish and maintain clear documentation of agentic platform architecture, orchestration logic, agent registry schemas, evaluation frameworks and engineering standards.
• Define and enforce platform SLOs (service-level objectives) for the agentic layer, including orchestration latency, agent reliability and evaluation pipeline throughput.
• Continuously evaluate emerging agentic AI tooling, frameworks and architectural patterns; recommend adoption and conduct proof-of-concept validation where justified

5+ years' experience in AI/ML engineering, platform engineering or software engineering roles.

• Hands-on…