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Architect for Foundation Model and Data Platform(m/w/x)
Enabling data federation, enrichment, training, and deployment for multi-modal foundation models at a business application software provider. 8+ years architecting data platforms or ML/AI solutions, with expertise in secure, compliant systems, required. Flexible working models.
Requirements
- 8+ years experience building/architecting data platforms or ML/AI solutions
- Strong background in data engineering
- Experience handling heterogeneous, multi-modal data (plus)
- Expertise designing secure, compliant systems
- Deep understanding of data governance, lineage, provenance, isolation
- Familiarity with data spaces and related protocols (plus)
- Hands-on experience with knowledge graphs or foundation models (plus)
- Strong hands-on software engineering skills
- Proficiency in Python and another programming language
- Ability to translate requirements into scalable technical designs
- Experience collaborating with product, consulting, customer teams
- Strong communication and documentation skills
- Comfort working in complex, evolving environment
- Iterating architecture as components evolve
Tasks
- Architect and implement a platform for multi-modal foundation models.
- Enable data federation, enrichment, training, deployment, and operation.
- Lead architecture and design for the data and training platform.
- Define components for multimodal data integration.
- Define components for knowledge graph-based asset exploration.
- Develop reliable architecture definitions.
- Create future-proof, evolving architecture documentation.
- Ensure secure, policy-compliant handling of proprietary datasets and models.
- Manage authentication, lineage, provenance, and licensing metadata.
- Coordinate with technical, product, and management stakeholders.
- Ensure alignment with technical concepts and project vision.
- Provide deep technical guidance to delivery teams.
- Advise on integration patterns and platform configuration.
- Guide performance optimization.
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- data platforms
- ML/AI
- knowledge graphs
- foundation models
- Python
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
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Architect for Foundation Model and Data Platform(m/w/x)
Enabling data federation, enrichment, training, and deployment for multi-modal foundation models at a business application software provider. 8+ years architecting data platforms or ML/AI solutions, with expertise in secure, compliant systems, required. Flexible working models.
Requirements
- 8+ years experience building/architecting data platforms or ML/AI solutions
- Strong background in data engineering
- Experience handling heterogeneous, multi-modal data (plus)
- Expertise designing secure, compliant systems
- Deep understanding of data governance, lineage, provenance, isolation
- Familiarity with data spaces and related protocols (plus)
- Hands-on experience with knowledge graphs or foundation models (plus)
- Strong hands-on software engineering skills
- Proficiency in Python and another programming language
- Ability to translate requirements into scalable technical designs
- Experience collaborating with product, consulting, customer teams
- Strong communication and documentation skills
- Comfort working in complex, evolving environment
- Iterating architecture as components evolve
Tasks
- Architect and implement a platform for multi-modal foundation models.
- Enable data federation, enrichment, training, deployment, and operation.
- Lead architecture and design for the data and training platform.
- Define components for multimodal data integration.
- Define components for knowledge graph-based asset exploration.
- Develop reliable architecture definitions.
- Create future-proof, evolving architecture documentation.
- Ensure secure, policy-compliant handling of proprietary datasets and models.
- Manage authentication, lineage, provenance, and licensing metadata.
- Coordinate with technical, product, and management stakeholders.
- Ensure alignment with technical concepts and project vision.
- Provide deep technical guidance to delivery teams.
- Advise on integration patterns and platform configuration.
- Guide performance optimization.
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- data platforms
- ML/AI
- knowledge graphs
- foundation models
- Python
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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