AI Solution Architect

• At least 3 years of experience as a Solution Architect, Enterprise Architect or Lead Technical Architect.
• A track record of designing large-scale enterprise platforms and integrations.
• Practical experience with several of the following: generative AI platforms, agentic AI frameworks, MCP, RAG, vector databases, knowledge graphs, prompt orchestration, AI governance and controls, API-led architecture, event-driven architecture.
• Strong understanding of cloud-native architecture, containers and Kubernetes, microservices, API management, DevOps and CI/CD, security architecture and observability.
• A structured, organised approach to architecture and solution design.
• Experience preparing architecture artefacts for both technical and executive audiences.
• Comfort working with stakeholders across different regions, cultures and time zones.
• Excellent written and spoken English. • Prestigious position at one of the world’s largest banks.
• Stable, long-term projects.
• Competitive salary with a B2B contract.
• Hybrid work (6 days per month from the office in Cracow).
• Private healthcare and multisport card.
• Personal growth and development opportunities with the possibility to rotate between projects. ,[Own end-to-end solution architecture across programme workstreams, from target-state design to low-level detail., Turn business requirements into structured and scalable technical designs., Design AI solutions using RAG, vector databases, knowledge graphs, LLM orchestration, agentic frameworks and MCP, with security and governance controls in place., Define API, event-driven and orchestration patterns for integrations with ServiceNow, knowledge sources, automation platforms and future channels., Contribute to decisions on authentication, identity management, auditability, monitoring, security, cloud hosting and containerisation., Evaluate technology options and recommend solutions based on business value, risk, cost and complexity., Document architecture decisions and take part in design authority and governance forums., Work closely with engineering teams to make sure designs are implemented effectively., Identify dependencies, assumptions and risks early, and support planning and estimation., Explain technical concepts clearly to senior, non-technical stakeholders.] Requirements: RAG, mcp, AI, API, Kubernetes