Skip To Main Content
backBack to Search

Solution Architect - AI, Financial Services (m/f/d)

Hybrid in Germany: Frankfurt am Main
Solution Architecture
Looking for something else?

Find a vacancy that works for you. Send us your CV to receive a personalized offer.

Find me a job

We’re expanding our Financial Services Solution Architecture practice and are looking for AI-focused Solution Architects (m/f/d) to join our team in Frankfurt and surrounding areas, Germany, in a hybrid working mode. You will report directly to our Director of Solution Architecture for Financial Services and work as a close, active partner across enterprise-scale FS transformation programs — spanning complex technology transformation and modernization, payments infrastructure, capital markets platforms and regulatory compliance architecture. The role centers on hands-on Gen-AI and agentic solution design, paired with a shift-left mindset: rather than simply handing over AI-generated outputs, you’ll actively share the underlying skills and methods with colleagues so capability spreads across the team. This is a launchpad role — a high-growth position with direct exposure to client engagements, architecture reviews and executive conversations — where you’ll build the track record and judgment to grow into a senior architect with future leadership responsibility, while building deep Financial Services and applied Gen-AI architecture expertise.

Responsibilities
  • Design and deliver solution architectures for FS engagements across core banking, payments, capital markets or insurance, working closely with the Director of Solution Architecture
  • Champion a shift-left approach to AI: actively share Gen-AI and agentic skills, reusable patterns and hands-on know-how with colleagues and mentor junior architects, building capability across the team rather than only handing over finished outputs
  • Architect and build Gen-AI and agentic solutions (LLM integration patterns, RAG, vector store design, agent orchestration) for FS use cases such as fraud detection, credit risk and regulatory reporting
  • Translate business and regulatory requirements (DORA, PSD2/3, MiFID II, Basel IV, GDPR) into concrete technical designs, in partnership with the Director and delivery leadership
  • Support architecture governance and documentation across program phases, including cloud, outsourcing and third-party technology risk considerations aligned to BaFin/ECB expectations
  • Partner with client stakeholders and delivery teams to validate designs, work through technical trade-offs and support proposal and pre-sales activity
  • Work in close partnership with the Director on client workshops, architecture councils and executive presentations — contributing directly, helping shape process and methodology, and building toward independent ownership of engagements
  • Evaluate emerging AI and cloud technologies for technical fit, regulatory compliance and business value in FS contexts, and feed recommendations back into the practice
Requirements
  • 6–10 years of overall IT experience, including 3+ years in solution or technical architecture roles
  • Hands-on experience in at least one financial services domain — retail banking, capital markets, payments (ISO 20022, SWIFT) or insurance
  • Practical experience building Gen-AI solutions (LLM integration patterns, RAG, agentic orchestration, vector store design), gained within regulated or corporate environments, with an understanding of the governance, data-handling and model-risk constraints that differ from purely experimental or greenfield AI work
  • Working knowledge of at least one major cloud platform (AWS, Azure or GCP) and associated integration patterns
  • Exposure to FS regulatory and compliance frameworks (DORA, PSD2/3, MiFID II, Basel IV, GDPR)
  • Strong communication skills and comfort engaging with senior stakeholders; genuinely coachable and motivated to grow into a leadership track
  • Fluency in English and German
  • Bachelor’s or Master’s degree in Computer Science, Engineering or a related field
Nice to have
  • Familiarity with FS architecture frameworks and standards (TOGAF, Zachman, BIAN semantic APIs)
  • Familiarity with AI governance and model risk management practices in regulated environments
  • Experience with digital banking platforms such as Temenos, Finastra, Mambu or FIS
  • Exposure to FS data platforms (e.g., Snowflake, Databricks) or Open Banking API ecosystems (PSD2/3, Berlin Group)
  • Cloud certifications (AWS, Azure or GCP) or TOGAF certification
  • Prior experience in a consulting or client-facing delivery environment