ASOS

3 weeks 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: 52 minutes agoStatus: Live

Job Summary

Build and scale ASOS’s shared AI platform capabilities, with a focus on agentic AI patterns. You’ll design Azure-based reference implementations, orchestration and tool integration, and standard templates for LLM and GenAI workflows. Partnering with Product, Cloud Infrastructure and Security, you’ll implement secure, governed access, contribute to LLMOps/AgentOps practices, and embed observability and reliability best practices for enterprise AI operations.

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager 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, defining how agents are built, integrated, and operated across the organisation.
•Develop and maintain standardized templates and reference implementations for LLM/GenAI 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 and reliability into production AI systems, including telemetry, latency monitoring, alerting, scaling considerations, and operational readiness.

Pay and Benefits

Perks:Employee DiscountPrivate MedicalPaid LeaveAnnual Bonus

Key Requirements

•Significant experience as an AI Engineer or AI Platform Engineer 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 including model access, routing, caching, token usage, cost optimisation and reliability.
•High proficiency in Python and experience building APIs and service-oriented systems, plus CI/CD and automated testing for AI/platform components.

Experience:GenAIAgentic AIMLOpsLLMOpsEnterprise AI

Skills:CollaborationResponsible AIEngineering-led approach

Languages:English

Tech Stack:AzureAgentic AILLMsGenerative AIPythonAPIMAzure AI FoundryEntra IDRBACManaged identitiesCI/CDObservabilityLoggingMetricsTracingAlertingTelemetryMCPMLOpsLLMOps

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: 3.4

Website LinkedIn Glassdoor

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ASOS

3 weeks 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: 52 minutes agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager 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, defining how agents are built, integrated, and operated across the organisation.
•Develop and maintain standardized templates and reference implementations for LLM/GenAI 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 and reliability into production AI systems, including telemetry, latency monitoring, alerting, scaling considerations, and operational readiness.

Pay and Benefits

Perks:Employee DiscountPrivate MedicalPaid LeaveAnnual Bonus

Key Requirements

•Significant experience as an AI Engineer or AI Platform Engineer 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 including model access, routing, caching, token usage, cost optimisation and reliability.
•High proficiency in Python and experience building APIs and service-oriented systems, plus CI/CD and automated testing for AI/platform components.

Experience:GenAIAgentic AIMLOpsLLMOpsEnterprise AI

Skills:CollaborationResponsible AIEngineering-led approach

Languages:English

Tech Stack:AzureAgentic AILLMsGenerative AIPythonAPIMAzure AI FoundryEntra IDRBACManaged identitiesCI/CDObservabilityLoggingMetricsTracingAlertingTelemetryMCPMLOpsLLMOps

Company Brief

ASOS

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: 3.4

Website LinkedIn Glassdoor