Senior AI Solution Architect

About the role

Design and deliver end-to-end AI solutions for public sector clients, architecting scalable, compliant, and production-ready data pipelines and AI systems tailored to administrative processes. This role bridges cutting-edge machine learning with real-world regulatory and policy-driven challenges, driving digital transformation in high-impact domains.

What you'll do

• Design and deliver end-to-end AI solutions for public sector clients—architecting scalable, compliant, and production-ready data pipelines and AI systems tailored to administrative processes
• Develop high-level technical architectures aligned with IT landscapes, ensuring integration with legacy systems and adherence to German and EU regulations
• Support pre-sales and public tender processes (Ausschreibungen) by evaluating AI use cases, contributing to proposals, and ensuring compliance with procurement requirements
• Serve as a domain expert in client engagements, understanding governance structures, federal/state dynamics, and administrative workflows to deliver measurable impact
• Bridge strategy and execution by steering AI initiatives in collaboration with public stakeholders, aligning solutions with legal frameworks, funding structures, and operational realities
• Drive thought leadership in AI for the public sector through engagement with policymakers and contribution to discussions around digital sovereignty and ethical AI

What you'll need

• A degree in Administrative Sciences (Verwaltungswissenschaften), Political Science, Law, Computer Science, Industrial Engineering, or a related field
• Strong understanding of the German public sector landscape, including federal/state structures, procurement processes (Ausschreibungen), and regulatory frameworks (e.g. GDPR, BSI standards)
• Experience working with or within public institutions, or delivering publicly funded projects (e.g. Förderprojekte)
• Knowledge of data and cloud architectures, ideally with hands-on experience using platforms like AWS, Azure, or GCP in regulated environments
• Solid understanding of AI/ML fundamentals and production data systems
• Strong consulting and stakeholder management skills, with the ability to navigate complex, multi-stakeholder environments
• Fluency in both German and English

Nice to have

• Experience designing solutions that integrate heterogeneous and legacy public sector data sources
• Familiarity with process modeling and requirements engineering (e.g. BPMN, SIPOC, User Story Mapping), especially in administrative contexts

What they offer

• Annual learning and development budget for conferences and educational resources
• Flat hierarchy with open 360° feedback and flexible work-from-home policy
• Visa sponsorship
• New office space on the AI Campus in Berlin
• Hardware allowance and monthly employee benefits allowance (mobility, sports, or groceries)
• Sabbatical leave