AI Manager – Enterprise Applications

About the role

Roland Berger's Central IT Enterprise Applications team shapes and runs its enterprise AI orchestration platform, combining business, data/AI and infrastructure to integrate AI securely and scalably into business applications. The AI Manager leads the design, governance and delivery of this platform and offers technical leadership to AI engineers, developers and partner teams.

Key responsibilities

• Design, implement and maintain the AI orchestration platform (APIs, MCP connectors, model routing, monitoring, security and access layers)
• Define technical standards, reference architectures and reusable components, working with Central IT infrastructure and cloud teams
• Work with business stakeholders to identify and refine AI use cases for the platform
• Coordinate with data scientists, application owners and partners on end-to-end AI solution architectures
• Establish governance, standards and procedures for AI usage, including data protection, responsible AI, model lifecycle management, access control, logging and monitoring
• Oversee incident and change management and continuous improvement of AI services in production
• Develop the AI platform roadmap, including build-vs-buy decisions and technology selection
• Manage relationships with AI and cloud vendors, negotiate and monitor contracts and SLAs, and help plan and control the budget
• Offer technical leadership (code and architecture reviews, best practices) and train stakeholders through guidelines, documentation and training

Required profile

• Master's degree in Computer Science, Data Science, Information Systems, Engineering or a related field, or a comparable qualification with strong practical experience in AI/ML and enterprise IT
• Typically 9-10 years of experience in enterprise IT or digital product development
• Proven experience designing and operating data/AI or integration platforms in a complex, international environment
• Track record of leading cross-functional technical initiatives and working closely with business stakeholders
• Fluency in written and spoken Romanian and English; additional languages are an advantage

Required skills

• Deep understanding of AI/ML concepts such as model lifecycle, MLOps, LLMs, orchestration and monitoring
• Solid knowledge of cloud-native architectures (containerization, APIs, event-driven architectures, identity and access management)
• Professional certifications in cloud platforms or AI/ML (Azure, AWS, GCP, MLOps) are a plus
• Familiarity with operating models, governance and risk/compliance for data and AI