Solutions Architect .NET AI SDLC

The role of a Solutions Architect is multifaceted and combines competent "super powers". It combines the competencies of a technical expert and business skills. In this role, you will face work on the biggest challenges that Future Processing faces. In this role, you represent FP as a technical expert and consultant in contact with our clients. AI is fundamentally changing the way software is developed. We are looking for an architect who consciously uses AI in their daily work - from analysis, through design, code generation, code review and testing, to software deployment. We are currently looking for an Architect for a project for one of our clients. Our client is an influential player in the American market in the automotive sector, developing the car sales world through innovative CRM solutions and AI tools. This company has a strong position, providing key software for car dealerships to streamline their operations and increase sales efficiency. The person in this role designs the architecture of systems and solutions supporting the AI SDLC process in cooperation with engineering teams, creates and develops solutions using Generative AI tools and techniques that improve Delivery - especially the software development process, acts as an advisor to the client on the selection of cloud solutions, taking into account security, costs, performance and scalability, cooperates with technical and business stakeholders, provides technological and architectural advice in the design of AI solutions, taking into account costs, risks and business value, considers AI capabilities in architecture design and technological decision-making, supports the adoption of AI tools in the team and process. We are looking for you if you have min. 6 years of experience in IT, including min. 1 year of experience as a tech lead/solutions architect, you have broad knowledge in the .NET area, you have practical knowledge of AWS, including architecture design, service selection and cost and security aspects, you have created software as part of an automated, AI-assisted SDLC process, including development, testing and CI/CD, you know and have commercially used in practice AI tools supporting development, such as GitHub Copilot, Cursor, Claude Code and popular MCPs, you have experience in designing and implementing AI-based systems, such as RAG, semantic search, AI workflows and single- and multi-agent AI systems, you have very good knowledge of designing autonomous AI agents and systems capable of autonomous software engineering (agentic coding / autonomous software engineering), including task orchestration, quality control, validation and decision-making within SDLC, you have knowledge related to application and system architecture, you can translate complex technical issues into clear business value, you communicate fluently with technical and non-technical audiences, you can boast a high level of interpersonal and leadership skills, you have a C1 level of English, you are open to business trips, delegations to the client.