Senior Developer, AI & Emerging Tech

In this role, you will shape Burberry's shared agentic AI platform, building scalable, secure engineering foundations and governance. You’ll lead the orchestration layer, observability, and model evaluation, aligning with enterprise standards and business priorities. You’ll establish engineering practices, tooling and documentation from the ground up, collaborating with architecture and domain teams to enable enterprise-wide agent deployment. This is a foundational role with impact across IT, data, and product teams in a fast-evolving, greenfield AI environment.

• Design, build and maintain the shared agentic platform services used by domain and platform teams to deploy agents at enterprise scale
• Own the agent platform engineering layer with orchestration, registration, monitoring and governance to enterprise standards
• Develop and maintain prompt engineering patterns, model selection frameworks, and evaluation methodologies
• Serve as interim centre of agentic development expertise and transfer patterns to domain teams
• Collaborate with Enterprise and Solution Architects to define orchestration strategy and platform requirements
• Work with integration engineers to ensure seamless agent-to-system connectivity and governed integration patterns
• Coordinate with data platform engineers to enable secure, reliable access to shared data infrastructure and AI governance
• Support domain and platform teams in building domain-specific and platform-specific agents with guidance and pattern compliance
• Establish and maintain documentation of agentic platform architecture, orchestration logic and engineering standards
• Define and enforce platform SLOs for orchestration latency, agent reliability and throughput
• Evaluate emerging agentic AI tools and architectures and conduct proofs-of-concept where justified

• 5+ years in AI/ML engineering, platform engineering or software engineering
• Hands-on experience with agentic AI systems and LLM-based platforms on Azure, AWS or GCP
• Strong Python and modern software engineering practices
• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen or CrewAI
• Knowledge of RAG, vector databases and embeddings
• API design and integration (REST, event-driven, workflows)
• CI/CD, testing, infrastructure-as-code
• Docker and Kubernetes
• Hands-on with cloud AI services (Azure AI Foundry, Azure OpenAI, Copilot Studio or equivalents)
• Experience building production-grade services with monitoring, incident management, and SLOs
• Understanding of enterprise integration patterns, APIs and data sources
• Familiarity with AI governance, risk and security controls (model/prompt versioning, human-in-the-loop, guardrails, access control, data governance)
• Ability to work in ambiguous, greenfield environments and establish engineering standards
• Ability to influence senior technical stakeholders across a matrixed organization
• Experience with AI evaluation methods and human-in-the-loop feedback loops
• Retail, Luxury or Consumer goods industry experience beneficial

• influencing senior stakeholders
• strong documentation and knowledge sharing
• collaboration across cross-functional teams
• Python
• LangChain
• LangGraph