AI Software Architect (MCP/JS)

We are looking for a Software Architect with strong expertise in Node.js and AI integration technologies to help build scalable engineering foundations for enterprise-wide MCP adoption. This role combines architecture leadership, platform engineering, and hands-on development focused on reusable MCP integrations, AI orchestration, and enterprise architecture standards. At Sigma Software, you will work on technically challenging products, collaborate with experienced engineering teams, and help shape scalable solutions for a modern European FinTech company. CUSTOMER Our Customer is one of Europe’s fastest-growing FinTech companies, delivering a comprehensive financial infrastructure platform for businesses. The company provides embedded financial services, including virtual cards, bank transfers, account management, and payment operations through scalable APIs and modern financial technology solutions. Operating in a high-scale and rapidly evolving environment, the Customer places strong emphasis on engineering excellence, platform scalability, and architectural consistency. PROJECT The project focuses on building the engineering foundation for enterprise-wide MCP adoption across multiple product teams. The initiative aims to establish shared architecture standards, reusable TypeScript/Node.js libraries, SDKs, templates, and development practices that enable scalable and consistent MCP-compatible integrations. As a Software Architect, you will lead the design of scalable MCP-based integration solutions, establish engineering standards, and develop reusable platform components for AI orchestration, context management, authentication, and service integrations. You will also contribute to defining integration approaches and architecture best practices across multiple engineering teams. Key Technologies: TypeScript, JavaScript, Node.js, AWS, MCP, LLM Integrations, APIs, Distributed Systems, SDK Development, Microservices, AI Orchestration PERSONAL PROFILE Strong technical leadership and ownership mindset Ability to work effectively in cross-functional and distributed teams Proactive and solution-oriented approach Passion for innovation and emerging AI technologies Strong mentoring and knowledge-sharing skills Ability to balance strategic architecture vision with hands-on engineering execution