AI Principal Architect / Lead

Your role in the team

Our expectations of you

Education

• You hold a degree in Computer Science, Engineering, Data Science, or a related discipline.

Qualifications

• You bring extensive expertise in Microsoft Azure architecture, GenAIOps, MLOps, and AI platform engineering, and you are comfortable leading technical teams through complex, cross-functional delivery initiatives.
• You possess deep knowledge of security-by-design principles, compliance expectations, and governance frameworks applicable to regulated enterprise environments.
• You bring a growth mindset with openness to new technologies and a willingness to continuously develop relevant skills and capabilities.
• You combine strong architectural and technical leadership with excellent stakeholder management skills, enabling you to translate business objectives into executable technical strategies and platform roadmaps.
• You have demonstrated capability in establishing and operating architecture governance, including design reviews, standards enforcement, and decision traceability, ensuring consistent delivery discipline across teams and projects.
• Relevant certifications in cloud, AI/ML, security, or enterprise architecture (e.g., vendor or industry-recognized credentials) would further strengthen your profile.
• Exposure to responsible AI standards, model risk management, and audit-ready controls within regulated environments would enhance your ability to ensure compliance and governance across production AI systems.
• Demonstrated success in collaborating effectively with offshore partners and operating across time zones would round out your profile.
• You communicate fluently in English at a business level, German proficiency is an advantage for collaboration and stakeholder engagement across Uniper's international environment.
• You demonstrate strategic, systems-level thinking and a structured approach to complex problem-solving.
• You establish strong partnerships through effective leadership, collaboration, and stakeholder management.
• You balance innovation with risk management, compliance requirements, and operational stability.

Experience

• You have proven experience in designing, deploying, and operating enterprise-grade AI platforms that deliver measurable business value and meet stringent reliability and compliance requirements.
• You bring hands-on experience in designing for operational excellence, including reliability, observability, performance optimization, and cost management of production services.
• In addition, you have practical experience implementing responsible AI controls and risk management measures for production AI systems, such as model monitoring, evaluation, and human-in-the-loop mechanisms where required.
• Beyond these core qualifications, it would be considered an advantage if you have demonstrated experience with Generative AI, large language model (LLM) platforms, and agent-based solution architectures.
• Hands-on experience with enterprise tooling and practices such as CI/CD for ML, model registries, automated testing, and deployment patterns would be highly beneficial.
• Experience integrating AI platforms with enterprise data ecosystems and application landscapes, including API management and event-driven integration, would also be an asset.

What we offer