Agentic AI MCP Integration Specialist

As an Agentic AI MCP Integration Specialist , you will make an impact by designing, implementing, and supporting integrations between Agentic AI systems and enterprise tools using the Model Context Protocol (MCP) . You will be a valued member of the AI Engineering and Integration team and work collaboratively with AI architects, software engineers, data teams, cloud engineers, cybersecurity teams, and business stakeholders to build scalable, secure, and production-ready agentic automation solutions

In this role, you will:

• Design, develop, and maintain MCP servers and reusable connectors that expose enterprise applications, APIs, data platforms, and business tools to AI agents.

• Integrate MCP-enabled tools with generative AI applications, copilots, and agent frameworks to enable secure access to enterprise data, workflows, and services.

• Build integrations across enterprise platforms such as ServiceNow, Jira, Confluence, SharePoint, Teams, Databricks, Snowflake, databases, and internal APIs.

• Implement secure authentication, authorization, governance, and monitoring capabilities that support enterprise-scale AI deployments.

• Develop automated testing, observability, and operational support practices to ensure reliable, scalable, and compliant MCP-based integrations.

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

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

• Strong hands-on experience with Python and experience developing APIs, connectors, microservices, or integration services.

• Experience working with Generative AI, LLM-powered applications, AI orchestration frameworks, or agent-based automation solutions.

• Experience with REST APIs, GraphQL, cloud