Head of Engineering (Agentic AI Systems)
ASOS is hiring a Head of Engineering (Agentic AI Systems) in London, United Kingdom. Level rates it ; you can apply on ASOS.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions RAG, LLM integration and AI agents among its tools and skills.
- Level classes it as an executive role.
- ASOS has 62 other open roles on Level.
- Posted in the last few days.
AI in this role
We're ASOS, the online retailer for fashion lovers all around the world.
We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions.
Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process
This is a rare opportunity to step into a genuinely high-impact leadership role at the forefront of AI transformation, with a particular focus on agentic AI and autonomous systems. As Head of Engineering (AI Enablement), you’ll shape how intelligent agents are designed, orchestrated, and deployed across the organisation - moving beyond traditional AI use cases into systems that can reason, act, and collaborate to drive real business outcomes. You’ll play a pivotal role in turning emerging capabilities into scalable, production-grade solutions, defining how AI agents augment teams, accelerate decision-making, and unlock entirely new ways of working.
You’ll operate in a highly collaborative, stakeholder-rich environment where your influence will extend well beyond engineering. Partnering with senior leaders across engineering, product, and transformation, you’ll drive alignment on how agentic AI is embedded across key platforms and workflows. This is a role for someone who thrives on both technical depth and organisational impact - someone who can design architectures for intelligent systems, while also building the relationships and momentum needed to scale them enterprise-wide. If you’re excited by the challenge of shaping how autonomous AI systems are safely and effectively adopted at scale, this is a chance to define the future direction of AI within a complex, evolving organisation.
Key Responsibilities
- 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
- 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
We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That’s why our approach to working together includes spending at least 3 days a week in the office. It’s a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly and builds the kind of culture where people can grow, create and succeed.
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
Want to find out how we’re tech powered? Check out the ASOS Tech Podcast here https://open.spotify.com/show/6rT4V6N9C7pAXcX60kzzxo . Prefer reading? Check out our ASOS Tech Blog here https://medium.com/asos-techblog.
How we rate this
Head of Engineering (Agentic AI Systems) at ASOS rates 72 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How have you integrated a large language model into a production application?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG, LLM Integration, and AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new software engineering jobs (Works on AI ●●●○ or higher) by email
One email a week with the new software engineering jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step