AI Solutions Architect (MCP/JS)

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

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
Proven 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

WILL BE A PLUS:

Experience with A2A communication and agent orchestration platforms
Background in AI/ML platform engineering
Familiarity with FinTech products, payment systems, or embedded finance solutions
Experience contributing to architectural governance and engineering standards at scale

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

See also