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# AI Data Architect

- **Company:** GE Healthcare
- **Location:** Zipf, Austria
- **Salary:** €85,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cyber Security, Data Architecture, Information Engineering, Data Infrastructure, Data Security, Distributed Systems, Metadata, Metadata Repositories, Software Engineering, IT Architecture, AI Platforms, Information Technology, Data Management, Machine Learning Operations
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4a43b50c098a7639

## About the Role

* Master's degree in computer science, data engineering, software engineering, AI, or a related field.
 * Progressive experience in data architecture, enterprise architecture, AI platforms, data engineering, or a related discipline.
 * Strong understanding of modern data platforms, integration, metadata, lineage, quality, governance, and secure access.
 * Experience across the AI data and model lifecycle, including curation, annotation, training, validation, deployment, and monitoring.
 * Ability to assess vendors and technologies, including cloud platforms, APIs, distributed systems, and platform engineering concepts.
 * Knowledge of privacy, cybersecurity, quality-system, and regulatory expectations for healthcare data and AI-enabled medical products.
 * Proven ability to create roadmaps, influence across teams, and communicate effectively in English within a global organization., * Experience shaping enterprise data or AI architecture, preferably in medical imaging, healthcare, or another regulated environment.
 * Familiarity with data catalogs, orchestration, quality and annotation tools, dataset stores, model registries, and AI platforms.
 * Track record of defining reusable architecture standards and aligning separate initiatives around shared platforms and ways of working.

## Description

This role combines data architecture, AI development, platform strategy, and stakeholder leadership to align teams and provide secure, scalable, interoperable foundations for next-generation ultrasound products.

In this role you will:

 * Align global ultrasound teams on AI data needs, use cases, and shared business and technical priorities.
 * Evaluate third-party platforms and lead build-versus-buy decisions, vendor assessments, due diligence, and proofs of concept.
 * Define reference architectures and standards for scalable, secure, compliant, interoperable, usable, and cost-effective data platforms.
 * Own the global AI data architecture roadmap, including priorities, investment proposals, capacity plans, and leadership reporting.
 * Partner with infrastructure and cloud teams to standardize platforms, pipelines, metadata, lineage, data quality, observability, and governance.
 * Enable compliant healthcare-data access, de-identification, retention, sharing, and lifecycle management.
 * Coordinate platform onboarding, integration, migration, and retirement while promoting approved reference patterns.
 * Lead architecture and incident reviews, document decisions, and communicate clearly with cross-functional stakeholders while monitoring relevant emerging technologies.