AI MCP Architect, Engineering AI & Data, Engineering, London

We are seeking a highly skilled AI MCP Architect to drive the strategic design, development, and implementation of innovative architectures for integrating AI applications and agents with external enterprise systems and APIs for our Financial Services and Private Sector Clients. As a Senior AI MCP Architect, you will be accountable for defining the technical vision and roadmap for the integration of AI capabilities into the broader enterprise ecosystem. You will shape how AI applications and intelligent agents connect, communicate and exchange data, ensuring high performance, reliability, and security within complex environments. Your role will involve translating business requirements into technical strategies, architecting cutting-edge integration solutions for AI, and overseeing their successful implementation. You will be instrumental in establishing best practices for AI integration, MCP Design and API management, within an integrated AI landscape. You will provide expert guidance to development teams, conduct architectural reviews, and champion innovative approaches to connecting AI applications. Additionally, you will work closely with clients, project managers, and engineering teams to deliver high-impact, integrated AI solutions that drive tangible business value. Connect to your skills and professional experience, * Lead the MCP architecture and implementation of innovative integration solutions for AI applications and intelligent agents with external systems and APIs

• Develop and enforce architectural principles, standards, and best practices for AI integration, specifically leveraging the MCP protocol for seamless data flow and system interoperability (e.g. specification templates, client/server design & mappings, transport layer selection)
• Evaluate and recommend appropriate integration technologies, platforms, and tools, including MCP/API gateways, message brokers, cloud-based integration services, and other middleware.
• Provide technical leadership and mentorship to engineering teams, guiding them through complex integration challenges and optimisations (e.g. token efficiency and dynamic context adaptation).
• Collaborate with product owners, data scientists, business stakeholders and development teams to translate functional and non-functional requirements into robust integration architectural designs.
• Conduct architectural reviews, performance tuning, and security assessments of integrated AI systems.
• Stay abreast of emerging integration technologies, MCP developments (e.g. OpenAI/Google adoptions), and innovative architectural patterns to continuously enhance our solution offerings for AI connectivity.

Do you have experience in REST?, * Proven experience in senior architectural roles, specifically designing and implementing complex integration solutions in enterprise environments.

• Demonstrable experience working within the Financial Services and/or Private Sector, understanding their unique business drivers, data complexities, and regulatory requirements
• Extensive experience with integration design and architecture, including deep knowledge of various integration patterns, API design (REST, GraphQL), event-driven architectures, and middleware technologies.
• Demonstrable expertise with the MCP protocol, its architecture and its application in large-scale system integrations.
• Strong understanding of LLMs, RAG, Agent orchestration frameworks (e.g. Langchain, CrewAI, GCP Vertex AI Agent Builder) and how governance and context can be maintained within multi-agent system architectures
• Working knowledge in cloud platforms (e.g., AWS, Azure, GCP), iPaaS technologies and their integration offerings.
• Experience with API management, and data encryption best practice
• Excellent communication, presentation, and stakeholder management skills, with the ability to influence and articulate complex technical concepts to diverse audiences.
• Ability to lead and mentor technical teams, fostering a collaborative and innovative environment.
• Experience working in a consulting environment is a significant advantage.

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