Senior AI Engineer (AI Platform)

ASOS
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Influencing","Engineering-led approach"]

Build and scale the shared AI platform foundations for agentic AI across ASOS. You’ll design Azure-based standards, templates, and reference implementations so teams can safely deploy and operate AI agents at enterprise scale. Partner with product, cloud infrastructure, security, and others to deliver secure and governed access patterns, LLMOps and model runtime patterns, lifecycle/evaluation practices, and production reliability using observability and CI/CD best practices.

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FursaFursa
ASOS
ASOS
2 days ago

Senior AI Engineer (AI Platform)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Build and scale the shared AI platform foundations for agentic AI across ASOS. You’ll design Azure-based standards, templates, and reference implementations so teams can safely deploy and operate AI agents at enterprise scale. Partner with product, cloud infrastructure, security, and others to deliver secure and governed access patterns, LLMOps and model runtime patterns, lifecycle/evaluation practices, and production reliability using observability and CI/CD best practices.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and build AI platform capabilities on Azure, focusing on agent runtimes, orchestration, and tool integration.
  • •Contribute to the Agentic AI Platform initiative by defining how agents are built, integrated, and operated across the organisation.
  • •Design and maintain standardized templates and reference implementations for LLM and generative AI workflows, including prompt design, tool calling, multi-step flows, retries, and failure handling.
  • •Implement secure, governed access patterns for LLMs and enterprise tools using APIM, platform gateways, Entra ID, RBAC, and managed identities.
  • •Embed observability by default and contribute to production reliability using CI/CD best practices and telemetry (logs, metrics, and traces).

Pay and Benefits

Perks:Employee DiscountPaid LeavePrivate MedicalAnnual BonusLearning Budget

Key Requirements

  • •Significant experience as an AI Engineer, AI Platform Engineer, or similar delivering production-grade AI systems.
  • •Hands-on experience with LLMs, Generative AI, and agent-based systems in real-world environments.
  • •Strong understanding of the end-to-end AI lifecycle from experimentation through deployment and operation.
  • •Practical understanding of production LLM/GenAI runtime concerns such as model access, routing, caching, token usage, cost optimization, and reliability.
  • •High proficiency in Python with experience building APIs and service-oriented systems.
Experience:AI platformsGenerative AIEnterprise
Skills:CollaborationInfluencingEngineering-led approach
Languages:English
Tech Stack:PythonAzureLLMOpsAPIMAzure API ManagementEntra IDRBACManaged identitiesCI/CDObservabilityLoggingMetricsTracingTelemetryAzure AI FoundryMCPMLOpsGenAIOps

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
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