Head of Engineering (Agentic AI Systems)

ASOS
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Leadership","Stakeholder management","Communication","Partnership","Technical quality assessment"]

Lead and scale a multidisciplinary team of Forward Deployed AI Engineers to design, orchestrate, and deploy agentic AI systems across key business domains. Own engineering delivery from discovery through production, covering copilots, workflow agents, decision systems, and automation platforms. Establish best practices for LLM integrations, RAG, and AI-native operating models with human-in-the-loop. Partner with senior stakeholders and platform teams to ensure solutions are scalable, secure, observable, cost-efficient, and aligned to Azure AI strategy.

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FursaFursa
ASOS
ASOS
19 hours ago

Head of Engineering (Agentic AI Systems)

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Job Summary

Lead and scale a multidisciplinary team of Forward Deployed AI Engineers to design, orchestrate, and deploy agentic AI systems across key business domains. Own engineering delivery from discovery through production, covering copilots, workflow agents, decision systems, and automation platforms. Establish best practices for LLM integrations, RAG, and AI-native operating models with human-in-the-loop. Partner with senior stakeholders and platform teams to ensure solutions are scalable, secure, observable, cost-efficient, and aligned to Azure AI strategy.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Manager level

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 end-to-end delivery of agentic AI solutions, including copilots, workflow agents, decision systems, and automation platforms.
  • •Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design, ensuring scalability, security, observability, cost-efficiency, and reliable evaluation frameworks.

Pay and Benefits

Perks:Employee DiscountPaid LeavePrivate Medical

Key Requirements

  • •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, including assessing technical quality and guiding solution design.
  • •Track record of taking AI or advanced technology solutions from concept and prototype through scalable production deployment.
  • •Experience translating business goals into technical delivery and shaping AI roadmaps, prioritising work, and driving alignment across product, engineering, and business teams.
  • •Strong stakeholder management and communication skills, building credibility quickly and driving adoption of new capabilities.
Skills:LeadershipStakeholder managementCommunicationPartnershipTechnical quality assessment
Languages:English
Tech Stack:Agentic AIAutonomous systemsLLMsLLM integrationsAgent orchestrationRAGAzure AI servicesAzureAWSGCPAI workflowsHuman-in-the-loopCopilotsWorkflow agentsDecision systemsAutomation platformsAI-native operating models

Company Brief

ASOS
ASOS plc is a UK-based online fashion and beauty retailer selling thousands of branded and own-label products worldwide through its e-commerce platform, targeting young adult customers with fast-fashion, marketplace third-party brands, and integrated logistics and marketing services.
Industry: E-commerce
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2000
Glassdoor
Glassdoor: 3.4
WebsiteLinkedInGlassdoor