AI Data Architect
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Role details
Tech stack
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Job description
- Progressive experience in data architecture, enterprise architecture, AI platforms, data engineering, or a related discipline.
- Experience across the AI data and model lifecycle, including curation, annotation, training, validation, deployment, and monitoring.
- Experience shaping enterprise data or AI architecture, preferably in medical imaging, healthcare, or another regulated environment., + Easy Apply
- 90k - 90k €
- Hybrid
- Vollzeit
-
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- Easy Apply
- Ab 80k €
- Hybrid
- Onsite
- Vollzeit
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Requirements
Für alle Personen geeignet (m/w/d)
Nur Englisch Nur Englisch erforderlich
Benefits & conditions
- We offer a role specific compensation and a competitive salary and fringe benefit package reflecting your profile and experience.
- In Austria we are required to state the minimum pay.
- For this position, the annual compensation package starts at € 85.000.
- We will be pleased to discuss the appropriate effective salary based on your qualifications and experience.
- An exciting and diverse range of responsibilities in a growth-oriented company.
- An interdisciplinary team and an international work environment.
- Flextime and flexible working hours.
- Free electric charging stations and ample parking facilities on the company premises.
- An additional day off for your birthday.
- Convenient public transportation access with a complimentary company shuttle to the Redl-Zipf train station, located 2 km away., GE Healthcare ist ein Tochterunternehmen von General Electric, einem der führenden Anbieter von medizintechnischen Lösungen und Dienstleistungen.
Unternehmenstyp Etablierte Firma
Arbeitsmodell Hybrid, Onsite
Branche Pharma, Chemie, Biotech
About the company
- As AI Data Architect (f/m/d) in GE HealthCare’s Advanced Imaging Solutions business, you will shape the global data architecture for AI development across ultrasound teams.
- You will align globally distributed teams on shared platform, tool, and infrastructure priorities, enabling secure, scalable, interoperable data foundations to develop, validate, and scale AI-enabled ultrasound solutions.
- 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.
- 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., * Strong understanding of modern data platforms, integration, metadata, lineage, quality, governance, and secure access.
- 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.
- 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.
- Collaborative and trusted across functions, countries, and disciplines.
- Comfortable with ambiguity and able to balance long-term architecture with near-term delivery.
- Curious, self-directed, and committed to learning, knowledge sharing, and better customer and patient outcomes., Loxone Electronics GmbH·Wien, Alberndorf in der Riedmark, Kollerschlag
- Easy Apply
- 75k - 95k €
- Hybrid
- Onsite
- Vollzeit
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AI Data Architect
GE Healthcare
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