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AI Manager – Enterprise Applications(m/w/x)
AI orchestration platform design and architecture coordination for energy industry transformation. 9-10 years enterprise IT/product experience, cross-functional leadership required; Cloud/AI/ML certifications a plus. Collaboration with leading energy providers and political decision-makers.
Requirements
- Master’s degree in technical field or comparable qualification
- Cloud or AI/ML professional certifications (advantageous)
- 9–10 years enterprise IT or product experience
- Experience designing data/AI or integration platforms
- Leadership of cross-functional technical initiatives
- Deep understanding of AI/ML concepts
- Knowledge of cloud-native architectures and services
- Ability to design end-to-end solution architectures
- Familiarity with AI governance and risk
- Strategic and analytical mindset
- Strong stakeholder management and communication skills
- Technical leadership and team coordination skills
- Ownership, reliability, and solution orientation
- Fluent written and spoken English
Tasks
- Design and maintain the AI orchestration platform
- Define technical standards and reference architectures
- Identify and prioritize business AI use cases
- Coordinate end-to-end AI solution architectures
- Establish AI governance and operating procedures
- Oversee incident management and service improvements
- Develop the AI platform strategic roadmap
- Manage AI vendor relationships and contracts
- Provide technical leadership to engineering teams
- Upskill stakeholders through documentation and training
Work Experience
- 9 - 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Azure
- AWS
- GCP
- MLOps
- LLMs
- Containerization
- APIs
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AI Manager – Enterprise Applications(m/w/x)
AI orchestration platform design and architecture coordination for energy industry transformation. 9-10 years enterprise IT/product experience, cross-functional leadership required; Cloud/AI/ML certifications a plus. Collaboration with leading energy providers and political decision-makers.
Requirements
- Master’s degree in technical field or comparable qualification
- Cloud or AI/ML professional certifications (advantageous)
- 9–10 years enterprise IT or product experience
- Experience designing data/AI or integration platforms
- Leadership of cross-functional technical initiatives
- Deep understanding of AI/ML concepts
- Knowledge of cloud-native architectures and services
- Ability to design end-to-end solution architectures
- Familiarity with AI governance and risk
- Strategic and analytical mindset
- Strong stakeholder management and communication skills
- Technical leadership and team coordination skills
- Ownership, reliability, and solution orientation
- Fluent written and spoken English
Tasks
- Design and maintain the AI orchestration platform
- Define technical standards and reference architectures
- Identify and prioritize business AI use cases
- Coordinate end-to-end AI solution architectures
- Establish AI governance and operating procedures
- Oversee incident management and service improvements
- Develop the AI platform strategic roadmap
- Manage AI vendor relationships and contracts
- Provide technical leadership to engineering teams
- Upskill stakeholders through documentation and training
Work Experience
- 9 - 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Azure
- AWS
- GCP
- MLOps
- LLMs
- Containerization
- APIs
About the Company
Roland Berger
Industry
Consulting
Description
Das Unternehmen entwickelt Strategien für die Transformation der Energiebranche in Zusammenarbeit mit führenden Energieversorgern und politischen Entscheidungsträgern.
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Full-time/Part-timeOn-siteSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhefrom 76,000 / year