Ärztekasse Genossenschaft develops integrated software solutions for healthcare professionals, supporting medical practices with secure, efficient, and intelligent digital services. To scale and mature our AI capabilities within the practice management system, we are looking for a Senior AI Engineer with strong technical leadership and hands-on delivery experience.
As a Senior AI Engineer, you will take technical ownership of AI components and services integrated into our practice system. You will drive the design, implementation, and operational excellence of AI-powered features while ensuring reliability, compliance, and seamless integration into clinical and administrative workflows.
Senior AI Engineer – Practice Systems & Clinical Intelligence (w/m)
Pensum: 80-100%
Start: immediately or by appointment
Duration: unlimited
Location: Zurich area (Urdorf or Geneva)
Key Responsibilities (Senior / Technical Leadership Focus)
1. Own the end-to-end lifecycle of AI services, from design and implementation to production operation and continuous improvement
2. Design and implement scalable, production-grade AI architectures integrated into existing backend systems
3. Lead the development of speech-to-text and NLP / LLM-based pipelines for extraction, structuring, summarization, and generation of domain-specific content
4. Define and implement prompting strategies, orchestration flows, validation layers, and fallback mechanisms for LLM-based systems
5. Establish human-in-the-loop patterns, review workflows, and quality gates for clinically relevant AI outputs
6. Define and apply model evaluation, monitoring, and observability standards (accuracy, drift, latency, cost)
7. Ensure data privacy, security, and regulatory compliance across all AI solutions
8. Support and guide AI-assisted data migration and import workflows
9. Collaborate closely with product management, software engineering, data teams, and domain experts
10. Provide technical guidance and mentorship to other engineers in AI-related topics
11. Contribute to AI platform foundations, reusable components, and engineering best practices
Scope Clarification
This is a hands-on senior engineering role with technical ownership.
The role does not define overall product or corporate AI strategy but shapes implementation patterns, quality standards, and technical direction within an agreed framework.
Required Profile
12. Several years of experience as an AI Engineer, Senior ML Engineer, or Applied AI Engineer
13. Deep hands-on experience with NLP, speech processing, and LLM-based systems in production
14. Strong software engineering background (APIs, distributed systems, production deployments)
15. Experience designing scalable and reliable AI services
16. Proven ability to handle model evaluation, monitoring, and lifecycle management
17. Strong understanding of data privacy, security, and compliance, ideally in regulated environments
18. Ability to work autonomously and take technical ownership
19. Very good English skills (German or French is a plus)
Nice to Have
20. Experience in healthcare or clinical systems
21. Familiarity with clinical documentation standards ( SOAP)
22. Knowledge of medical terminologies, billing, or tariff systems
23. Experience with human-centered or assistive AI systems
24. Experience mentoring engineers or leading technical initiatives
Expected Impact
25. Stable, scalable, and trustworthy AI services in production
26. Reduced documentation and administrative workload for healthcare professionals
27. Higher quality and consistency of clinical data
28. Faster delivery and maturation of AI features
29. Stronger AI engineering practices across the organization
We look forward to receiving your application!
We look forward to receiving your application by e-mail at .