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Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Act as a trusted advisor to clients shaping AI opportunities
- Design and oversee complex AI ecosystems
- Support sales and pre-sales by shaping AI opportunities
- Act as a high-level consultant for C-suite stakeholders
- Set the standard for AI engineering practices
- Stay ahead of the curve and develop reusable proprietary assets
- Ensure solutions meet the highest standards of AI safety and compliance
- Foster a culture of continuous learning, mentoring Senior AI Engineers
Requirements
What you’ll need- An advanced degree (M.Sc. or Ph.D.) in Mathematics, Physics, Computer Science, or a related quantitative field
- Consulting mindset and comfortable working with clients
- Deep, hands-on experience in Python and cloud-native environments (Azure, AWS, or GCP)
- Proven track record of moving GenAI projects into complex, integrated production systems
- German skills at a C1/C2 is mandatory
- Fluency in English is also required
- Expert knowledge of IaC, Docker, and CI/CD pipelines
- Preferred Certifications: Cloud Architect or Data Engineer Associates (e.g., DP-600, AZ-204, or AWS Pro)
Benefits
Comp & perks- Sports sponsorship
- Health and mobility benefits
- Choose your laptop from a diverse list
- Use your company phone for private purposes
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI engineeringIaCDockerCI/CD pipelinesGenAI projectscloud-native environmentsMathematicsPhysicsComputer Science
Soft Skills
consulting mindsetclient engagementmentoringcontinuous learningcommunication
Certifications
Cloud ArchitectData Engineer AssociateDP-600AZ-204AWS Pro
