AI Solutions Architect – MCP, JS

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design and develop essential capabilities for the MCP platform, including clients, servers, tool invocation patterns, and integrations with current backend services.

• Establish reference architectures and engineering standards for MCP servers, tools, resources, schemas, authentication, context management, and versioning.

• Create reusable libraries, SDKs, templates, and starter projects in TypeScript/Node.js for product teams.

• Develop shared functionalities for conversation state, agent state, context management, and orchestration workflows.

• Provide architectural guidance for MCP, A2A communication, traditional APIs, and service-to-service integration patterns.

• Collaborate with engineering teams to review solution designs and document best practices.

• Mentor engineers and offer technical leadership in AI integration and platform engineering initiatives.

• Ensure platform scalability, maintainability, security, and operational excellence.

• Define the architectural vision and technical standards for enterprise-wide adoption of MCP.

• Facilitate cross-team technical alignment and support critical architectural decisions.

⛳️ Requirements

• Over 7 years of production experience with JavaScript, TypeScript, and Node.js.

• More than 2 years of experience in software architecture, backend platform engineering, or technical leadership roles.

• Strong expertise in development within the TypeScript and Node.js ecosystem.

• Demonstrated experience in designing distributed systems, APIs, SDKs, frameworks, or developer platforms.

• In-depth 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 various engineering teams.

• Hands-on experience with cloud platforms, preferably AWS.

• Proven ability to define scalable architecture standards and reusable engineering practices.

• Capability to translate business requirements into scalable technical solutions in high-scale environments.

• Upper-Intermediate or higher proficiency in English.

• Strong technical leadership and ownership mindset.

• Effective collaboration in cross-functional and distributed teams.

• Proactive and solution-oriented approach.

• Enthusiasm for innovation and emerging AI technologies.

• Strong mentoring and knowledge-sharing abilities.

• Ability to balance strategic architectural vision with hands-on engineering execution.

• Experience with A2A communication and agent orchestration platforms is advantageous.

• Background in AI/ML platform engineering is a plus.

• Familiarity with FinTech products, payment systems, or embedded finance solutions is beneficial.

• Experience contributing to architectural governance and engineering standards at scale is an added advantage.

🏝️ Benefits

• Remote work opportunities.

• Mentoring and knowledge-sharing possibilities.

• Engage in technically challenging products.

• Collaboration with experienced engineering teams.

• Opportunity to influence scalable solutions for a modern European FinTech company.