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Tech Stack
Tools & technologiesAzureCloudITSM
About the role
Key responsibilities & impact- Own and continuously enhance AI platforms and solution architecture across the full stack, including model lifecycle, agent orchestration, and application integration
- Establish and enforce architectural principles, standards, and reference architectures for AI and GenAI solutions
- Evaluate, select, and govern AI technologies, frameworks, platforms, and cloud services aligned with Uniper’s enterprise strategy
- Architect solutions for scalability, resilience, security, performance, and cost efficiency
- Provide technical leadership to AI engineering, platform, and architecture teams
- Serve as the escalation point for complex technical decisions
- Collaborate with product owners, security, data, and business stakeholders to translate requirements into production-ready AI solutions
- Define and govern architectural decision records, documentation standards, and design review processes
- Ensure architecture complies with security, privacy, and regulatory obligations, including risk assessments and control alignment
- Lead evaluation of strategic technology options and vendor offerings and provide investment recommendations
- Oversee operational readiness, observability, reliability engineering practices, and lifecycle support for production-grade platform operations
- Represent AI architecture in governance boards and architecture forums
- Define and maintain the platform architecture roadmap and drive capability maturity
- Conduct architecture reviews for strategic initiatives
- Contribute to the AI platform operating model, including service definitions, KPIs/SLAs, and ITSM integration
- Establish and lead an architecture community of practice, including coaching, knowledge sharing, and reusable patterns and accelerators
Requirements
What you’ll need- Degree in Computer Science, Engineering, Data Science, or a related discipline
- Proven experience designing, deploying, and operating enterprise-grade AI platforms
- Extensive expertise in Microsoft Azure architecture, GenAIOps, MLOps, and AI platform engineering
- Experience leading technical teams through complex, cross-functional delivery initiatives
- Deep knowledge of security-by-design principles, compliance expectations, and governance frameworks for regulated enterprise environments
- Growth mindset and willingness to continuously develop relevant skills and capabilities
- Strong architectural and technical leadership and stakeholder management skills
- Experience establishing and operating architecture governance, including design reviews, standards enforcement, and decision traceability
- Hands-on experience designing for operational excellence, including reliability, observability, performance optimization, and cost management of production services
- Practical experience implementing responsible AI controls and risk management measures, including model monitoring, evaluation, and human-in-the-loop mechanisms where required
- Generative AI, large language model (LLM) platforms, and agent-based solution architecture experience advantageous
- Relevant certifications in cloud, AI/ML, security, or enterprise architecture advantageous
- Hands-on experience with CI/CD for ML, model registries, automated testing, and deployment patterns highly beneficial
- Experience integrating AI platforms with enterprise data ecosystems and application landscapes, including API management and event-driven integration, an asset
- Exposure to responsible AI standards, model risk management, and audit-ready controls in regulated environments an advantage
- Demonstrated success collaborating with offshore partners and operating across time zones
- Fluent business-level English
- German proficiency advantageous
- Strategic, systems-level thinking and structured complex problem-solving approach
- Ability to balance innovation with risk management, compliance requirements, and operational stability
Benefits
Comp & perks- Attractive salary
- Excellent company pension
- Health-related benefits
- Flexible working arrangements
- Home office equipment
- Regular training and workshops
- Supportive working culture
- Modern and ergonomic equipment for home and office
- Sabbaticals
- Part-time possibilities
- Family service
- Bike leasing offer (deferred compensation)
- E-car charging stations at almost all Uniper locations
- Flu vaccination
- Preventive health services
- Employee assistance program
- Employer-funded contributions to a modern pension system
- Possibility of self-funded contributions with employer-funded matching
- Lifelong training
- Coaching
- Additional local benefits