Description

In this role, you will design and maintain an AI orchestration platform while collaborating with various teams to integrate AI solutions. Your day-to-day responsibilities will include establishing governance standards, managing vendor relationships, and providing technical leadership to ensure effective AI adoption across the organization.

Requirements

• •Master’s degree in Computer Science, Data Science, Information Systems, Engineering, or a comparable qualification
• •Professional certifications in cloud platforms or AI/ML (e.g. Azure, AWS, GCP, MLOps)
• •9–10 years of experience in enterprise IT or digital product development
• •Proven experience in designing and operating data/AI or integration platforms
• •Track record of leading cross-functional technical initiatives involving AI/ML, automation, or advanced analytics
• •Deep understanding of AI/ML concepts and their integration into enterprise applications
• •Solid knowledge of cloud-native architectures and services relevant for AI platforms
• •Ability to design and communicate end-to-end solution architectures
• •Familiarity with operating models, governance, and risk/compliance for data and AI
• •Strategic and analytical mindset for actionable AI platform designs
• •Strong stakeholder management and communication skills
• •Ability to provide technical leadership without formal line responsibility
• •High degree of ownership, reliability, and solution orientation
• •Fluent written and spoken English; additional languages are an advantage

Tasks

• •Design and implement the AI orchestration platform
• •Maintain the AI orchestration platform within the enterprise application landscape
• •Define technical standards and reference architectures for AI integration
• •Collaborate with Central IT infrastructure and cloud teams
• •Identify and prioritize AI use cases with business stakeholders
• •Refine AI use cases for delivery via the orchestration platform
• •Coordinate with data scientists and application owners for AI solution design
• •Establish governance and standards for AI usage
• •Manage data protection and responsible AI practices
• •Oversee incident and change management for AI services
• •Ensure compliance with internal and external regulations
• •Develop and maintain the AI platform roadmap
• •Align the roadmap with enterprise application and cloud strategies
• •Manage relationships with AI and cloud vendors
• •Negotiate and monitor contracts and SLAs
• •Contribute to budget planning for AI platforms and services
• •Provide technical leadership to AI engineers and developers
• •Offer best practices and conduct code reviews
• •Enable stakeholders through guidelines and training

Tools & Technologies