Lead, grow, and deploy a multidisciplinary team of Forward Deployed AI Engineers across key business domains
Allocate engineering capability across strategic initiatives based on business priority and impact
Establish and embed best practices for agentic systems, AI workflows, LLM integrations, and AI-enabled tooling
Drive a high-performance engineering culture focused on rapid iteration, reliability, and measurable business outcomes
Act as the primary AI engineering partner to senior stakeholders across Product, Fashion, Supply Chain, Finance, Customer Care, Procurement, and Technology
Translate complex business challenges into scalable AI solutions and prioritised delivery opportunities
Shape and align AI roadmaps with domain leaders, identifying high-ROI automation and augmentation use cases
Lead end-to-end delivery of agentic AI solutions, including copilots, workflow agents, decision systems, and automation platforms
Ensure seamless progression from discovery through to production deployment, embedding AI-native and human-in-the-loop operating models
Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design
Ensure AI systems are scalable, secure, observable, and cost-efficient, with robust evaluation and reliability frameworks
Partner with platform teams to align with Azure AI strategy, governance, and enterprise engineering standards, while establishing scalable delivery and operational models
Partner with functional leaders to support reshaping and evoling hybrid-human agentic organizations
Our strong preference is for candidates to have exposure to working in a Retail environment.
Proven experience leading high-performing engineering teams delivering complex, production-grade AI or data-driven systems
Strong hands-on expertise in AI/ML, LLMs, or agentic AI systems, with the ability to assess technical quality and guide solution design
Track record of taking AI or advanced technology solutions from concept and prototype through to scalable production deployment
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Experience working at the intersection of engineering and the business—translating strategic goals into technical delivery
Demonstrated ability to partner effectively with senior stakeholders and influence across multiple domains in a large, complex organisation
Experience shaping roadmaps, prioritising work, and driving alignment across product, engineering, and business teams
Strong stakeholder management and communication skills, with the ability to build credibility quickly and drive adoption of new capabilities
Experience leading or contributing to enterprise transformation initiatives, particularly where new technologies are being introduced at scale
Strong understanding of modern AI architecture patterns (e.g. LLM applications, orchestration, RAG, agentic workflows) and cloud-based delivery environments
Experience working in cloud-first environments, ideally within Microsoft Azure (including Azure AI services), or equivalent platforms (AWS/GCP), with the ability to operate effectively in an Azure-aligned ecosystem
Experience establishing engineering standards, delivery frameworks, and best practices within growing or evolving teams
A track record of delivering measurable business impact through technology—balancing speed, quality, and commercial outcomes
Experience operating in hybrid leadership roles that combine technical depth, delivery ownership, and organisational influence
BeneFITS’
Employee discount (hello ASOS discount!)
Employee sample sales
25 days paid annual leave + an extra celebration day for a special moment
Discretionary bonus scheme
Private medical care scheme
Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role
About ASOS
Retail2800 employeesFounded 2000
ASOS is an online fashion retailer serving global customers with own and partner clothing and beauty brands.