Senior System Architect ML & AI

YOUR CHALLENGE

• You design and are responsible for the Solution Architecture of applications and AI platform components in delivery
• You ensure that Solution Architectures in delivery adhere to architecture standards and are aligned with the target architectures of the domain
• You initiate architecture decisions, document them as Architecture Decision Records (ADR) and have them approved by the relevant architecture boards
• You advise and coach software engineers on the implementation of Solution Architectures and ensure technical feasibility

Within the ML & AI ART in collaboration with the Lead Architect, you:

• Apply and refine the ART ‑ level target architecture within team and initiative contexts
• Drive hands ‑ on architectural design for AI and ML solutions within the teams, balancing consistency while addressing delivery needs
• Support the delivery of key ART initiatives (e.g. the AI automation orchestration layer) by translating high ‑ level architecture into concrete solution designs
• Ensure alignment and integration with enterprise platforms, data capabilities, security standards, and MLOps services
• Identify architectural risks, dependencies, and technical debt at team and solution level, and escalate them proactively
• Contribute architectural input to PI Planning, backlog refinement, and roadmap discussions from a delivery and feasibility perspective
• Act as the primary architectural contact for assigned teams, while aligning closely with the Lead Architect and other System Architects

YOUR PROFILE

• At least 3 years of experience as a Senior Architect in complex IT environments
• At least 5 years of experience as a Lead or Senior Software Engineer, with hands-on responsibility including practical experience with AI/ML solutions and platforms
• Responsible for solution architectures: from design and implementation to operation
• Ability to identify options for solution architectures and make trade-off architecture decisions
• Collaboratively develop and coordinate solutions with business and technology stakeholders and architecture colleagues
• Proactive mindset, able to work under pressure and meet deadlines
• Practical experience designing and delivering AI and ML solutions in scalable enterprise platforms
• Strong understanding of AI/ML solution patterns, data pipelines, orchestration, and platform integration
• Ability to translate ART- and domain-level target architectures into practical, team-level solution designs
• Experience working across multiple teams while maintaining architectural alignment and consistency
• Ability to identify architectural risks and technical debt early and address them constructively
• Strong communication skills, with the ability to clearly explain architectural topics to both technical and non-technical stakeholders
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a comparable field
• Additional certifications are an advantage (e.g. SAFe, cloud, architecture, or AI/ML-related certifications)
• English: business fluent
• Solid foundation in software and system architecture, including modern architectural styles such as event-driven architectures, microservices, and modular monoliths
• Strong understanding of distributed systems, APIs, and platform integration patterns
• Practical familiarity with AI/ML platforms and ecosystems, including data pipelines, orchestration, and model lifecycle concepts
• Experience working with CI/CD pipelines, DevOps practices, and operational considerations in production environments
• Ability to work effectively in agile and SAFe environments using common collaboration and delivery tooling