Senior Developer, AI & Emerging Tech
Burberry Group plc14 hours ago
London, United KingdomSenior
Responsibilities
- Design, build, and maintain shared agentic AI platform services used by domain and platform teams to deploy agents at enterprise scale.
- Own the agent platform engineering layer, including orchestration, registration, monitoring, governance, prompt patterns, model selection, and evaluation methodologies.
- Establish engineering practices, tooling, documentation, knowledge bases, architecture standards, and reusable patterns for the new agentic AI capability.
- Collaborate with architects, integration engineers, data platform engineers, and product teams to connect agents with enterprise systems, APIs, data sources, and governed infrastructure.
- Support teams building domain-specific and platform-specific agents through platform services, engineering guidance, and pattern compliance reviews.
- Define and operate platform SLOs covering orchestration latency, agent reliability, and evaluation pipeline throughput.
- Evaluate emerging agentic AI tools, frameworks, and architectural patterns and conduct proof-of-concept validations.
- Apply monitoring, alerting, logging, incident management, release management, rollback, service ownership, and AI governance practices.
Requirements
- 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 platforms.
- Strong Python and modern software engineering experience, including LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
- Practical knowledge of retrieval-augmented generation patterns, vector databases, embeddings, API design, REST, event-driven patterns, and workflow-based integration.
- Experience with CI/CD, automated testing, infrastructure-as-code, Docker, Kubernetes, and cloud AI services such as Microsoft Azure AI Foundry, Azure OpenAI, or Microsoft Copilot Studio.
- Experience building production-grade services with operational monitoring and defining SLOs for platform capabilities used by multiple teams.
- Understanding of enterprise integration patterns and agent interactions with systems, APIs, and data sources.
- Familiarity with AI governance, risk and security controls, model and prompt versioning, auditability, human-in-the-loop review, responsible AI guardrails, identity and access control, secrets management, data classification, data loss prevention, policy enforcement, bias monitoring, and evaluation evidence.
- Familiarity with AI evaluation methods including automated agent-output testing, hallucination detection, prompt regression testing, and human-in-the-loop feedback.
- Ability to establish engineering standards in ambiguous greenfield environments and collaborate with senior architecture, security, data, and delivery stakeholders.
- Experience in retail, luxury, or consumer goods is beneficial.
Categories
About Burberry Group plc
Burberry Group plc designs, makes, and sells luxury apparel, accessories, and beauty products through owned retail stores, e-commerce, and wholesale to consumers worldwide. Its portfolio includes the Burberry trench coat and signature outerwear, leather goods, and fragrance. Founded in 1856 and headquartered in London, the company is publicly listed on the London Stock Exchange (ticker: BRBY) and operates a global store network.