Job
- Level
- Experienced
- Job Field
- Data, Project
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop requirements and prioritize AI use cases from various fields, manage AI projects, and support the establishment of technical frameworks for cloud and LLM solutions.
Your role in the team
- Structured collection, assessment, and prioritization of requirements and AI use cases from clinical, administrative, and scientific domains.
- Planning, steering, and supporting AI projects in close coordination with IT, business units, and external partners.
- Contributing to the development of suitable technical and organizational frameworks for the productive deployment of AI, particularly in the context of cloud-, platform-, and LLM-based solutions.
- Coordination of the necessary review and approval processes for AI applications in collaboration with the responsible departments for data protection, information security, and regulatory requirements.
- Support in the design and implementation of AI architectures (e.g., LLMs, agent-based workflows, RAG systems, cloud-based AI services).
- Translation of technical requirements into implementable technical solutions.
- Support in translating suitable research and pilot approaches into a robust application and operational framework.
- Creation of presentations, decision templates, and management documents for committees and steering groups.
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Our expectations of you
Education
- Completed university degree (Master's or equivalent), e.g., in (Business) Informatics, Engineering Sciences, Data Science, Health Informatics, or a comparable field.
Qualifications
- In-depth understanding of AI applications and modern AI architectures, especially in the context of LLMs, agent-based workflows, APIs, cloud services, or RAG-based solutions.
- Ability to confidently communicate between technical requirements, technical architecture, and organizational feasibility.
- Basic understanding of relevant regulatory and data protection requirements, particularly GDPR and EU AI Act, is an advantage.
- Very good knowledge of German (min. C1) as well as good written and spoken English skills.
- Analytical, structured, and solution-oriented working style.
- Strong communication and coordination skills in dealing with various stakeholders.
Experience
- Several years of professional experience in project management, ideally in the context of digitalization, AI, data, or platform projects.
- Experience in managing technically oriented projects, ideally related to cloud environments or production-related IT/AI solutions.
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What we offer
- A varied and technically challenging role with high visibility in the future-oriented field of AI.
- An interdisciplinary work environment at the intersection of AI research, university medicine, and clinical application.
- The opportunity to actively shape the development of a central AI governance and a structured AI rollout in a leading university hospital.
- Working in the heart of Munich at Max-Weber-Platz with excellent accessibility by public transport such as subway, S-Bahn, or tram.
- Company pension scheme through the Versorgungskasse des Bundes und der Länder (VBL).
- Self-fulfillment through a diverse and technically challenging activity with interdisciplinary collaboration across various departments of TUM Klinikum Rechts der Isar.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
TUM Klinikum Rechts der Isar
The TUM Klinikum Rechts der Isar in Munich is a respected university hospital that treats numerous inpatient and outpatient patients each year. With over 6,600 employees and a broad infrastructure of clinics and interdisciplinary centers, it ensures comprehensive medical care and is actively involved in research and teaching. As a public institution, it collaborates closely with the Technical University of Munich.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Project Manager AI Implementation / AI Platforms
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
