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Head of Engineering; Agentic AI Systems

Job in Camden Town, Camden, Greater London, N1C, England, UK
Listing for: ASOS
Full Time position Listed on 2026-10-30
Job specializations:
Salary/Wage Range or Industry Benchmark: 130000 - 180000 GBP Yearly GBP 130000.00 180000.00 YEAR

Job Description & How to Apply Below

Position: Head of Engineering (Agentic AI Systems)
Location: Camden Town

Head of Engineering (Agentic AI Systems)
  • Full-time

We'reASOS, 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'refree 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’llshape 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 drivereal business outcomes.

You’llplay 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’lloperatein a highly collaborative, stakeholder-rich environment where your influence will extend well beyond engineering. Partnering with senior leaders across engineering, product, and transformation,you’lldrive 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.

Ifyou’reexcited 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, whileestablishingscalable delivery and operational models
  • Partner with functional leaders to support reshaping andevolinghybrid-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…
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