AI Software Architect – MCP, JS
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Job Description
Software Architect building scalable MCP, Node.js, and AI orchestration platforms. Establishing enterprise architecture standards and reusable integrations for a European FinTech company.
Responsibilities:
- Design and implement core MCP platform capabilities, including MCP clients, servers, tool invocation patterns, and integrations with existing backend services
- Define reference architectures and engineering standards for MCP servers, tools, resources, schemas, authentication, context handling, and versioning
- Build reusable TypeScript/Node.js libraries, SDKs, templates, and starter projects for product teams
- Design shared capabilities around conversation state, agent state, context management, and orchestration workflows
- Establish architectural guidance for selecting between MCP, A2A communication, traditional APIs, and service-to-service integration patterns
- Collaborate across engineering teams to review solution designs and document best practices
- Mentor engineers and provide technical leadership in AI integration and platform engineering initiatives
- Ensure platform scalability, maintainability, security, and operational excellence
- Define architecture vision and technical standards for enterprise-wide MCP adoption
- Drive cross-team technical alignment and support strategic architecture decisions
Requirements:
- 7+ years of production experience with JavaScript, TypeScript, and Node.js
- 2+ years of experience in software architecture, backend platform engineering, or technical leadership roles
- Strong expertise in TypeScript and Node.js ecosystem development
- Experience designing distributed systems, APIs, SDKs, frameworks, or developer platforms
- Strong understanding of software architecture principles, interface design, versioning strategies, and reusable platform components
- Practical experience with MCP clients, servers, tools, resources, and LLM tool invocation
- Experience leading technical initiatives across multiple engineering teams
- Hands-on experience with cloud platforms, preferably AWS
- Experience defining scalable architecture standards and reusable engineering practices
- Ability to translate business requirements into scalable technical solutions in high-scale environments
- Upper-Intermediate or higher English level
- Experience with A2A communication and agent orchestration platforms is a plus
- Background in AI/ML platform engineering is a plus
- Familiarity with FinTech products, payment systems, or embedded finance solutions is a plus
- Experience contributing to architectural governance and engineering standards at scale is a plus
Benefits:
- Remote work option
- Work on technically challenging products
- Collaboration with experienced engineering teams
- Mentoring and knowledge-sharing opportunities
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