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AI Technology Strategy and Architecture Lead(m/w/x)
Shaping AI/ML roadmaps and governance for sports e-commerce platforms. Extensive technology or solution architecture experience required, with hands-on modern cloud knowledge. Direct impact on AI strategy for sports e-commerce, working with top clubs.
Requirements
- Strong technical foundation and software engineering background
- Extensive experience in technology or solution architecture
- Ability to shape AI technology direction
- Hands-on experience with modern AI/ML technologies
- Knowledge of AWS, Azure, or GCP
- Understanding of data architectures and APIs
- Experience with enterprise architecture tooling
- Ability to bridge strategy and execution
- Clear and confident communication skills
- Curious, pragmatic, and delivery-oriented mindset
Tasks
- Define the company's AI technology strategy and roadmap
- Align AI initiatives with business goals and enterprise architecture
- Establish principles and standards for secure AI adoption
- Provide technical leadership for AI and ML solutions
- Manage model lifecycles and system integration patterns
- Evaluate LLM frameworks and cloud-native AI services
- Select MLOps tooling and vector database platforms
- Embed AI capabilities into the existing technology landscape
- Build shared AI services and accelerators for standardization
- Translate business use cases into sustainable technical solutions
- Advise teams on AI best practices and architectural guidance
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- LLM platforms
- embeddings
- vector databases
- MLOps
- AWS
- Azure
- GCP
- APIs
- LeanIX
- Ardoq
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AI Technology Strategy and Architecture Lead(m/w/x)
Shaping AI/ML roadmaps and governance for sports e-commerce platforms. Extensive technology or solution architecture experience required, with hands-on modern cloud knowledge. Direct impact on AI strategy for sports e-commerce, working with top clubs.
Requirements
- Strong technical foundation and software engineering background
- Extensive experience in technology or solution architecture
- Ability to shape AI technology direction
- Hands-on experience with modern AI/ML technologies
- Knowledge of AWS, Azure, or GCP
- Understanding of data architectures and APIs
- Experience with enterprise architecture tooling
- Ability to bridge strategy and execution
- Clear and confident communication skills
- Curious, pragmatic, and delivery-oriented mindset
Tasks
- Define the company's AI technology strategy and roadmap
- Align AI initiatives with business goals and enterprise architecture
- Establish principles and standards for secure AI adoption
- Provide technical leadership for AI and ML solutions
- Manage model lifecycles and system integration patterns
- Evaluate LLM frameworks and cloud-native AI services
- Select MLOps tooling and vector database platforms
- Embed AI capabilities into the existing technology landscape
- Build shared AI services and accelerators for standardization
- Translate business use cases into sustainable technical solutions
- Advise teams on AI best practices and architectural guidance
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- LLM platforms
- embeddings
- vector databases
- MLOps
- AWS
- Azure
- GCP
- APIs
- LeanIX
- Ardoq
About the Company
CTS EVENTIM
Industry
IT
Description
Das Unternehmen bietet E-Commerce-Lösungen im Sportbereich und arbeitet mit namhaften Vereinen und Veranstaltern zusammen.
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