AI Solutions Architect (MCPJS)

• 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/ 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

Qualifications :

• 7 years of production experience with JavaScript TypeScript and
• 2 years of experience in software architecture backend platform engineering or technical leadership roles
• Strong expertise in TypeScript and 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

Additional Information :

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

Remote Work :

Yes

Employment Type :

Full-time