Solutions Architect - AI & Data Integration (f/m/d)

Solutions Architect - AI & Data Integration (f/m/d)Your area of work:As Solutions Architect, you bridge business strategy and engineering execution. You design and deliver enterprise solutions integrating AI and data platforms, translate vision into technical specifications, and ensure regulatory compliance.Your responsibilities:• Develop and validate technical architecture: Decompose business requirements into detailed technical specifications and design trade-offs. Assess feasibility, validate assumptions with stakeholders, and ensure alignment between business goals and technical constraints.• Design system integrations and data governance: Architect end-to-end data flows across multiple systems. Define integration patterns, data models, APIs, and governance frameworks. Ensure data consistency, auditability, and regulatory compliance.• Establish governance and control frameworks: Design control mechanisms, audit trails, and compliance checkpoints. Ensure solutions meet industry standards and regulatory requirements. Document governance models and maintain compliance oversight.• Lead vendor and stakeholder management: Act as technical peer to solution integrators and infrastructure partners. Lead design reviews, negotiate technical trade-offs, and ensure delivery quality. Provide technical credibility in vendor negotiations.• Guide backlog refinement and story definition: Collaborate with program management to decompose initiatives into detailed technical stories. Define acceptance criteria, dependencies, requirements and identify risks early.• Drive technical alignment and decision-making: Coordinate architecture discussions across functions. Prepare technical analyses, architecture reviews, and proposals for senior management. Facilitate consensus on complex technical decisions.• Monitor performance and optimization: Identify system bottlenecks and performance issues. Recommend improvements and optimizations. Stay current with emerging technologies and industry best practices.Your profile:• University degree in Computer Science, Software Engineering, Data Science, or equivalent technical discipline with strong academic results• 1-2 years' experience in technical architecture, systems integration, or technical program management• 1-2 years' hands-on experience with enterprise systems, AI/ML platforms, data pipelines, or cloudinfrastructure• Track record delivering large-scale, multi-system transformations successfully• Enterprise architecture and systems design (distributed systems, cloud platforms, APIs, integrations)• AI/ML systems architecture and knowledge management• Data governance, data modeling, and master data management• Cloud platforms and modern infrastructure patterns• Regulatory frameworks (GDPR, SOC 2, COSO) and audit-ready system design• Agile delivery and technical backlog management• Strong problem-solving and analytical skills• Ability to translate business requirements into technical solutions• Vendor and stakeholder management with technical negotiation skills• Self-motivated, proactive, and reliable under pressure• Excellent communication skills across technical and business audiences• Team player with strong interpersonal skills• Advanced MS Office skills• Experience with financial services or regulated industries• Hands-on programming skills (Python, SQL)• Fluency in spoken and written English (mandatory)• German beneficial