Job
- Level
- Lead
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop the AI orchestration platform and integrate AI solutions into business applications while defining technical standards and collaborating closely with stakeholders and partners.
Job Technologies
Your role in the team
- 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.
- 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.
This text has been machine translated. Show original
Our expectations of you
Education
- Master's 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.
- High degree of ownership, reliability, and solution orientation; comfortable in a dynamic environment and motivated to drive change and innovation.
Qualifications
- Professional certifications in cloud platforms or AI/ML (e.g., Azure, AWS, GCP, MLOps) are a plus.
- 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.
- Vertrautheit mit Betriebsmodellen, Governance sowie Risiko- und Compliance-Management für Daten und KI (Informationssicherheit, Datenschutz, Prinzipien verantwortungsvoller KI).
- 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.
- Fluent written and spoken English; additional languages are an advantage.
Experience
- Typically 9-10 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.
This text has been machine translated. Show original
Topics that you deal with on the job
Job Locations
This is your employer
Roland Berger GmbH
Roland Berger is a top-performing international consulting firm with German roots. We excel in helping companies strategically realign their businesses and operations, as well as introducing new processes and organizational structures. Our clients include industrial and service companies, as well as public institutions.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.4
Workingconditions
3.0Culture
3.7Engineering
3.5Career Growth
3.6
AI Manager - Enterprise Applications
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
