AI Manager – Enterprise Applications (all genders)

Munich - Germany

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

The Central IT Enterprise Applications team is responsible for shaping and running our enterprise AI orchestration platform. We work at the intersection of business data/AI and infrastructure ensuring secure scalable and value-driven integration of AI capabilities into our business applications. Our team collaborates closely with stakeholders across the organization to deliver innovative AI solutions that meet governance security and quality standards.

Your key responsibilities are:

Design implement and maintain the AI orchestration platform as part of our enterprise application landscape (e.g. APIs MCP connectors model routing monitoring security and access layers).
Define technical standards reference architectures and reusable components for integrating AI solutions in close collaboration with Central IT infrastructure and cloud teams.
Work with business stakeholders to identify prioritize and refine AI use cases that can be delivered via the AI orchestration platform.
Coordinate with data scientists application owners and external partners to design robust scalable and maintainable end-to-end AI solution architectures.
Establish governance standards and operating procedures for AI usage (including data protection responsible AI model lifecycle management access control logging and monitoring).
Oversee incident and change management as well as continuous improvement of AI services in production ensuring stable operations and compliance with internal and external regulations.
Develop and maintain the AI platform roadmap in alignment with our enterprise application and cloud strategies including build-vs-buy decisions and technology selection.
Manage relationships with AI and cloud vendors negotiate and monitor contracts and SLAs and contribute to planning and controlling the budget for AI platforms and services.
Offer technical leadership to AI engineers developers and partner teams working with the AI orchestration platform (e.g. best practices code and architecture reviews platform standards).
Enable and upskill key stakeholders (product owners developers super users) through guidelines documentation and training to foster consistent and effective AI adoption across the organization.

Qualifications :

Masters degree in Computer Science Data Science Information Systems Engineering or a related technical field or a comparable qualification with strong practical experience in AI/ML and enterprise IT.
Professional certifications in cloud platforms or AI/ML (e.g. Azure AWS GCP MLOps) are a plus.
Typically 910 years of experience in enterprise IT or digital product development.
Proven experience in designing and operating data/AI or integration platforms in a complex international environment.
Track record of leading cross-functional technical initiatives (ideally involving AI/ML automation or advanced analytics) and working closely with business stakeholders.
Deep understanding of AI/ML concepts (e.g. model lifecycle MLOps LLMs orchestration monitoring) and their integration into enterprise applications and processes.
Solid knowledge of cloud-native architectures and services relevant for AI platforms (e.g. containerization APIs event-driven architectures identity & access management).
Ability to design and communicate end-to-end solution architectures bridging business requirements and technical implementation.
Familiarity with operating models governance and risk/compliance for data and AI (information security privacy responsible AI principles).
Strategic and analytical mindset with the ability to turn abstract business needs into actionable AI platform and solution designs.
Strong stakeholder management and communication skills; able to align diverse groups and explain complex technical topics in a clear accessible way.
Ability to provide technical leadership without formal line responsibility coordinating and guiding virtual cross-functional and external teams.
High degree of ownership reliability and solution orientation; comfortable in a dynamic environment and motivated to drive change and innovation.
Fluent written and spoken English; additional languages are an advantage.

Additional Information :

Have we aroused your interest We are looking forward to receiving your complete application documents (resume academic testimonials and work references).

For further details on the position please visit . If you have any questions please do not hesitate to contact Sabine Krause-Ablaß by phone: 49 .

Remote Work :

Employment Type :

Full-time

Your key responsibilities are:

Design implement and maintain the AI orchestration platform as part of our enterprise application landscape (e.g. APIs MCP connectors model routing monitoring security and access layers).
Define technical standards reference architectures and reusable components for integrating AI solutions in close collaboration with Central IT infrastructure and cloud teams.
Work with business stakeholders to identify prioritize and refine AI use cases that can be delivered via the AI orchestration platform.
Coordinate with data scientists application owners and external partners to design robust scalable and maintainable end-to-end AI solution architectures.
Establish governance standards and operating procedures for AI usage (including data protection responsible AI model lifecycle management access control logging and monitoring).
Oversee incident and change management as well as continuous improvement of AI services in production ensuring stable operations and compliance with internal and external regulations.
Develop and maintain the AI platform roadmap in alignment with our enterprise application and cloud strategies including build-vs-buy decisions and technology selection.
Manage relationships with AI and cloud vendors negotiate and monitor contracts and SLAs and contribute to planning and controlling the budget for AI platforms and services.
Offer technical leadership to AI engineers developers and partner teams working with the AI orchestration platform (e.g. best practices code and architecture reviews platform standards).
Enable and upskill key stakeholders (product owners developers super users) through guidelines documentation and training to foster consistent and effective AI adoption across the organization.

Qualifications :

Masters degree in Computer Science Data Science Information Systems Engineering or a related technical field or a comparable qualification with strong practical experience in AI/ML and enterprise IT.
Professional certifications in cloud platforms or AI/ML (e.g. Azure AWS GCP MLOps) are a plus.
Typically 910 years of experience in enterprise IT or digital product development.
Proven experience in designing and operating data/AI or integration platforms in a complex international environment.
Track record of leading cross-functional technical initiatives (ideally involving AI/ML automation or advanced analytics) and working closely with business stakeholders.
Deep understanding of AI/ML concepts (e.g. model lifecycle MLOps LLMs orchestration monitoring) and their integration into enterprise applications and processes.
Solid knowledge of cloud-native architectures and services relevant for AI platforms (e.g. containerization APIs event-driven architectures identity & access management).
Ability to design and communicate end-to-end solution architectures bridging business requirements and technical implementation.
Familiarity with operating models governance and risk/compliance for data and AI (information security privacy responsible AI principles).
Strategic and analytical mindset with the ability to turn abstract business needs into actionable AI platform and solution designs.
Strong stakeholder management and communication skills; able to align diverse groups and explain complex technical topics in a clear accessible way.
Ability to provide technical leadership without formal line responsibility coordinating and guiding virtual cross-functional and external teams.
High degree of ownership reliability and solution orientation; comfortable in a dynamic environment and motivated to drive change and innovation.
Fluent written and spoken English; additional languages are an advantage.

Additional Information :

Have we aroused your interest We are looking forward to receiving your complete application documents (resume academic testimonials and work references).

For further details on the position please visit . If you have any questions please do not hesitate to contact Sabine Krause-Ablaß by phone: 49 .

Remote Work :

Employment Type :

Full-time

Key Skills

SAAS
Customer Service
Cloud
Healthcare
Account Management
CRM
Salesforce
Infrastructure
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New Customers
Territory
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Sales Goals
Sales Process
Analytics

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Roland Berger

Roland Berger is a global leader in strategy consulting, renowned for its focus on transformation, innovation, and sustainability. Founded in 1967 and headquartered in Munich, we shape the future of businesses and industries globally. Whether its digitalization, globalization, or su ... View more

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