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SASAP

Architect for Foundation Model and Data Platform(m/w/x)

Potsdam, Walldorf, Berlin, München
Full-timeOn-siteSenior
AI/ML
Data Science

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

  • EnglishBusiness 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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