MCP Consultant
Indexed description
This engagement follows a definition phase that provides the target architecture, priority use cases, security model, and initial tool backlog, so you step directly into hands-on implementation on a modern agentic AI stack within a regulated banking environment.
As An MCP Consultant, You Will
- Design and implement MCP servers to expose enterprise tools and data sources to agentic AI workflows.
- Translate the target architecture, priority use cases, and security model from the definition phase into working MCP capabilities.
- Build out the initial tool backlog into production-ready MCP server implementations.
- Integrate MCP servers with NIA and with the underlying banking systems and APIs they connect to.
- Define and execute test strategies covering functional, integration, and security testing of MCP capabilities.
- Apply security controls in line with the agreed security model, including authentication, authorization, and data protection for agent-to-tool interactions.
- Document implementation decisions and prepare a structured handover of production-ready MCP capabilities to the client team.
- Collaborate closely with the client's architecture, security, and platform teams throughout the engagement.
- Proven hands-on experience implementing MCP servers or comparable tool-integration layers for AI agent platforms
- Solid understanding of agentic AI architectures and LLM-based tool orchestration
- Experience with API design, integration, and secure authentication/authorization patterns
- Practical experience testing backend or integration services in a production environment
- Experience working in regulated environments such as banking or financial services
- Fluent English
- Model Context Protocol (MCP) and related SDKs
- Nagarro Agentic AI Platform / NIA or comparable agentic AI frameworks
- Python or TypeScript/Node.js for server-side implementation
- REST and API gateway integration patterns
- OAuth2 and identity/access management for service-to-service authentication
- CI/CD pipelines and containerized deployment (Docker, Kubernetes)
- Prior experience in banking or financial services IT environments
- Experience contributing to or working alongside a platform definition phase (architecture, security model, backlog)
- Familiarity with cloud platforms (Azure, AWS, or GCP)
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