Burberry Senior AI and Emerging Technology Developer

About Burberry

Burberry Limited, a quintessentially British luxury fashion house, is renowned for its innovative designs and commitment to quality. As part of the global luxury conglomerate, Burberry offers a dynamic and inclusive work environment where creativity and excellence are at the forefront. The company is dedicated to fostering a culture that encourages diversity and sustainability, making it a leader in the luxury industry.

Role & Responsibilities

• Design, build and maintain shared agentic platform services for domain-aligned and platform teams deploying 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, operational practices and evaluation methodologies.
• Serve as the interim centre of agentic development expertise, progressively transferring knowledge and patterns to domain teams.
• Collaborate with Enterprise and Solution Architects to define agentic orchestration strategy and platform requirements, and align platform engineering with enterprise reference architecture, design patterns and technology standards.
• Work with integration engineers to enable seamless agent-to-system connectivity, support integration standards and patterns, and allow agents to consume enterprise tools, systems and services through the governed integration layer.
• Work with data platform engineers to enable reliable, performant and secure agent access to shared data infrastructure—including knowledge bases, real-time data feeds, data lineage and governed metrics—in line with data governance and AI ethics standards.
• Support domain-aligned product teams and Enterprise IT platform teams in building and deploying domain-specific and platform-specific agents, providing platform services, engineering guidance and pattern-compliance reviews without owning the agents.
• Document and maintain agentic platform architecture, orchestration logic, agent registry schemas, evaluation frameworks and engineering standards.
• Define and enforce platform SLOs for the agentic layer, including orchestration latency, agent reliability and evaluation pipeline throughput.
• Continuously evaluate emerging agentic AI tools, frameworks and architectural patterns; recommend adoption and conduct proof-of-concept validation where justified.

Qualifications

• At least 5 years of experience in AI/ML engineering, platform engineering or software engineering roles.
• Hands-on experience designing, building and operating agentic AI systems, LLM-based platforms or multi-agent orchestration frameworks on Azure, AWS, GCP or similar.
• Core technical skills in Python and modern software engineering practices.
• Experience with LLM and agent development frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or CrewAI.
• Practical knowledge of RAG patterns, vector databases and embeddings.
• API design and integration using REST, event-driven and workflow-based patterns.
• Experience with CI/CD, automated testing and infrastructure as code.
• Experience with containerisation and deployment using Docker and Kubernetes.
• Hands-on experience with cloud AI services, preferably Microsoft Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio or equivalent AWS or GCP services.
• Operational experience building production-grade services, including monitoring, alerting, logging, incident management, release management, rollback procedures and service ownership; ability to define and operate SLOs for platform capabilities used by multiple teams.
• Strong understanding of enterprise integration patterns and how agents interact with systems, APIs and data sources.
• Practical familiarity with AI governance, risk and security controls, including model and prompt versioning, auditability, human-in-the-loop review, responsible AI guardrails, agent identity and access control, secrets management, data classification, data loss prevention, policy enforcement, bias monitoring and evaluation evidence suitable for internal assurance review.
• Ability to thrive in ambiguous, greenfield environments where engineering practices and standards must be established from scratch, balancing delivery pace with sustainable, well-documented foundations.
• Proven ability to influence and collaborate with senior technical stakeholders across architecture, security, data and delivery in a matrixed enterprise organisation.
• Familiarity with AI evaluation methodologies, including automated testing of agent outputs, hallucination detection, regression testing for prompt changes and human-in-the-loop feedback loops.
• Detail-oriented, with a commitment to documentation, knowledge sharing and engineering consistency.
• Experience in Retail, Luxury or Consumer Goods industries is beneficial.

Skills

Experience

At least 5 years in AI/ML engineering, platform engineering or software engineering roles; hands-on experience designing, building and operating agentic AI systems, LLM-based platforms or multi-agent orchestration frameworks on Azure, AWS, GCP or similar.

Culture

Burberry fosters a creative and inclusive workplace culture that values diversity and sustainability. The company is committed to being a force for good, driving industry change and championing community engagement.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.