Job
- Level
- Senior
- Job Field
- IT, Data, Security
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design and implement cloud architectures for AI solutions, develop complex AI applications, and take responsibility for the entire project lifecycle.
Job Technologies
Your role in the team
- You quickly familiarize yourself with new specialized processes, gain an overview, connect relevant topics, and specifically incorporate them into suitable AI solutions.
- You design and implement cloud architectures that optimally support the entire end-to-end process from data acquisition through storage and processing to model deployment and production operation - including automation of core operational processes as well as modern observability and monitoring solutions.
- You design the cloud backbone for our AI and analytics solutions and ensure a stable, scalable, and secure system landscape – this also includes larger applications with their own frontend and company-wide usage.
- You recognize deep dependencies in complex IT and data landscapes, identify optimization potentials, and implement improvements using AI approaches and modern tools.
- You develop AI projects with a modern, open-source, Python-oriented tech stack, focusing on Generative AI, Agentic AI, and multimodal models, and also contribute to solutions in the fields of Decision Intelligence, Computer Vision, and traditional Machine Learning.
- You assume technical responsibility throughout the entire lifecycle - from development to deployment to monitoring, drift detection, and continuous improvement: for you, a project does not end with the go-live.
- You continuously keep your Cloud and AI expertise up to date, stay informed about the latest developments around Foundation Models, Agentic Frameworks, Decision Intelligence, and Computer Vision, and actively bring this perspective into the team and in exchange with colleagues from Data Science, Development, Business, and Management as a sparring partner and catalyst.
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Our expectations of you
Education
- A completed degree in (Business) Informatics, Data Science, or Engineering - alternatively, solid project experience in cloud and platform environments.
Qualifications
- Extensive hands-on experience in building and operating Azure data and AI platforms, as well as working with container technologies such as Docker and Kubernetes.
- Routine in automation, Infrastructure as Code (e.g., Terraform or Bicep), and Continuous Integration/Continuous Deployment processes.
- Stability, security, and cost efficiency are a given thanks to established monitoring, incident management, and well-documented runbooks.
- Architectural expertise for clean API design, event-driven integration, and robust disaster recovery concepts.
- Familiarity with Security by Design, network segmentation, IAM, and working in regulated environments.
Experience
- Strong communication skills, Data-/MLOps expertise, frontend experience (e.g., React or Angular), as well as independent and quality-conscious work complete the profile.
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What we offer
- Top compensation & extras: Christmas & holiday bonuses (according to tariff) or with lucrative success share for above-tariff contracts, above-average company pension scheme & asset-building benefits.
- Work-Life Balance: 38-hour workweek, flexible & remote work, Workation, 30 days of vacation + days off on December 24th & 31st.
- Healthy & Fit: company supplementary health insurance, an award-winning canteen & location-dependent sports facilities.
- Strong camaraderie: After-work events & internal communities - our space for networking!
- Growing together: extensive range of seminars & leadership development programs.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
VKBit Betrieb GmbH
Der Konzern VKB hat sich für eine Teilauslagerung seines IT-Betriebs entschieden, um moderne IT-Infrastrukturen nutzen zu können und künftige Investitionen in dem Sektor zu vermeiden.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior AI Engineer Cloud Architecture
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
