Adidas

1 month ago

Senior AI Architect (Shanghai, SH, CN)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Lead end-to-end AI and GenAI architecture across enterprise projects, defining scalable, secure, and compliant AI solutions. Spearhead governance, pattern libraries, and model serving while collaborating with cross-functional teams to translate business needs into production-ready architectures.

Location: Shanghai

Workplace: Onsite

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•AI / GenAI Solution Architecture: Design end-to-end AI and GenAI solution architectures, including predictive ML, recommendation engines, RAG-based applications, AI copilots, intelligent automation, and multimodal AI scenarios.
•Enterprise Architecture & Governance: Act as the design authority for AI solutions, ensuring architectural consistency, reusability, scalability, maintainability, and alignment with enterprise technology standards.
•Data Platform, MLOps and LLMOps Integration: Define architecture for AI workloads across data ingestion, feature preparation, embedding generation, retrieval, inference, evaluation, monitoring, and feedback loops; guide MLOps/LLMOps practices.
•Security, Compliance and Responsible AI: Design AI solutions compliant with data privacy, cybersecurity, data residency, governance; implement controls for PII protection, access control, data masking, and audit logging; establish guardrails for GenAI.
•Stakeholder Engagement & Technical Leadership: Partner with business teams to identify high-value AI use cases; provide technical leadership to AI/data engineers, QA, product teams, and vendors; communicate complex AI concepts to technical and non-technical stakeholders; mentor teams to uplift enterprise AI maturity.

Key Requirements

•10+ years of professional experience in technology, software engineering, data engineering, AI/ML, or solution architecture.
•5+ years of experience in solution architecture, enterprise architecture, or technical leadership roles.
•3+ years of hands-on or architecture experience with AI/ML solutions in production environments.
•Practical experience with GenAI/LLM solutions such as RAG, AI chatbot/copilot, knowledge graphs, semantic search, or AI workflow automation.
•Experience with MLOps/LLMOps practices, including model lifecycle management, prompt/version control, CI/CD, observability, and monitoring.

Experience:10+ yearsAI/MLEnterprise AIGenAILLMOpsData platforms

Skills:LeadershipCommunicationStakeholder managementMentoringProblem-solving

Tech Stack:PythonREST APIsMicroservicesContainerizationCloudAlibaba CloudAWSElasticsearchOpenSearchFAISSMilvusPineconeEmbeddingsVector databasesLLM APIsMLOpsMLflowCI/CDModel servingRAG

Company Brief

Adidas

Global sportswear company designing, manufacturing, and selling athletic footwear, apparel, and accessories. Serves consumers and athletes through branded products, direct-to-consumer retail, and wholesale channels worldwide.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Herzogenaurach, Germany

Founded: 1949

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Adidas

1 month ago

Senior AI Architect (Shanghai, SH, CN)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Shanghai

Workplace: Onsite

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•AI / GenAI Solution Architecture: Design end-to-end AI and GenAI solution architectures, including predictive ML, recommendation engines, RAG-based applications, AI copilots, intelligent automation, and multimodal AI scenarios.
•Enterprise Architecture & Governance: Act as the design authority for AI solutions, ensuring architectural consistency, reusability, scalability, maintainability, and alignment with enterprise technology standards.
•Data Platform, MLOps and LLMOps Integration: Define architecture for AI workloads across data ingestion, feature preparation, embedding generation, retrieval, inference, evaluation, monitoring, and feedback loops; guide MLOps/LLMOps practices.
•Security, Compliance and Responsible AI: Design AI solutions compliant with data privacy, cybersecurity, data residency, governance; implement controls for PII protection, access control, data masking, and audit logging; establish guardrails for GenAI.
•Stakeholder Engagement & Technical Leadership: Partner with business teams to identify high-value AI use cases; provide technical leadership to AI/data engineers, QA, product teams, and vendors; communicate complex AI concepts to technical and non-technical stakeholders; mentor teams to uplift enterprise AI maturity.

Key Requirements

•10+ years of professional experience in technology, software engineering, data engineering, AI/ML, or solution architecture.
•5+ years of experience in solution architecture, enterprise architecture, or technical leadership roles.
•3+ years of hands-on or architecture experience with AI/ML solutions in production environments.
•Practical experience with GenAI/LLM solutions such as RAG, AI chatbot/copilot, knowledge graphs, semantic search, or AI workflow automation.
•Experience with MLOps/LLMOps practices, including model lifecycle management, prompt/version control, CI/CD, observability, and monitoring.

Experience:10+ yearsAI/MLEnterprise AIGenAILLMOpsData platforms

Skills:LeadershipCommunicationStakeholder managementMentoringProblem-solving

Tech Stack:PythonREST APIsMicroservicesContainerizationCloudAlibaba CloudAWSElasticsearchOpenSearchFAISSMilvusPineconeEmbeddingsVector databasesLLM APIsMLOpsMLflowCI/CDModel servingRAG

Company Brief

Adidas

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Herzogenaurach, Germany

Founded: 1949

Glassdoor: 3.8

Website LinkedIn Glassdoor