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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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