Agentic AI MCP Integration Specialist

• Design, develop, and maintain Model Context Protocol (MCP) servers to expose enterprise tools, APIs, and data to AI agents.
• Build reusable MCP connectors, APIs, and microservices for enterprise application integration.
• Integrate AI agents with enterprise platforms including ServiceNow, Jira, Confluence, SharePoint, Snowflake, Databricks, SQL/NoSQL databases, CRM/ERP systems, and internal APIs.
• Develop secure, scalable solutions using Python/TypeScript, REST APIs, GraphQL, and OAuth2/OIDC authentication.
• Implement logging, monitoring, tracing, auditing, and security best practices for MCP services.
• Define MCP tool schemas, prompt templates, and support single-agent and multi-agent workflows.
• Collaborate with cloud, application, data, and cybersecurity teams to onboard enterprise systems into AI ecosystems.
• Troubleshoot, optimize, and support production AI integrations while ensuring reliability, scalability, and compliance., * Design and implement MCP servers exposing enterprise tools (Rally, ServiceNow, Confluence, SharePoint, GitHub Jenkins, Snowflake, etc.).
• Define tool schemas, resource URIs, and prompt templates following the MCP spec; ensure deterministic, idempotent, well-documented tools.
• Implement authentication patterns (OAuth2, SSO, AWS IAM, service principals) and per-tenant authorization for MCP tools.
• Build connectors and adapters that translate enterprise API quirks (pagination, rate limits, eventual consistency) into clean agent-facing primitives.
• Instrument MCP servers with logging, tracing ,metrics, and audit trails for compliance.
• Partner with the Architect on the MCP tool catalog, naming conventions, and versioning strategy.
• Triage and resolve issues where agents misuse tools - improve schemas, descriptions, and error responses.
• Deep understanding of the MCP specification (resources, tools, prompts, transports -/HTTP/SSE).
• Strong API integration background: REST, webhooks, OAuth2/OIDC.
• Python and/or TypeScript proficiency; familiarity with MCP SDKs in either ecosystem.
• Enterprise integration patterns retries, circuit breakers, backoff, dead-letter queues.
• Security: secrets vaulting (AWS Secrets Manager / HashiCorp Vault), least-privilege scoping., Job Description Position Summary The On-Premise Execution Senior Specialist is responsible for supporting the execution and achievement of Annual Business Plan (ABP) targets fo…

• 8 days ago

5+ years of experience in software engineering, API integration, data engineering, or enterprise application integration.

• Hands-on experience with Agentic AI, Generative AI/LLMs, and Model Context Protocol (MCP).

Experience building APIs, connectors, microservices, or enterprise integration layers. Experience integrating AI applications with ServiceNow, Jira, Confluence, SharePoint, GitHub, Jenkins, Snowflake, Databricks, SQL/NoSQL, CRM/ERP, and internal APIs. Experience with Docker, logging, monitoring, security, authentication, and observability.

• Strong knowledge of REST APIs, GraphQL, OAuth2/OIDC, Webhooks, and enterprise integration patterns.

Experience designing MCP servers, APIs, microservices, and reusable enterprise connectors. Exposure to Agentic AI, tool-calling, workflow automation, or AI orchestration frameworks. Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.