About the role
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
What you need to have to be considered
- 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-native development, containerization, CI/CD pipelines, and enterprise security standards.
These will help you stand out
- Experience developing or supporting Model Context Protocol (MCP) servers, connectors, or AI tool integration frameworks.
- Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, OpenAI, Azure OpenAI, or similar agent frameworks.
- Knowledge of Azure cloud services, Kubernetes, event-driven architectures, and enterprise observability platforms.
- Experience implementing OAuth 2.0, OpenID Connect, Microsoft Entra ID, RBAC, API security, and governance controls.
- Experience with vector databases, retrieval-augmented generation (RAG), semantic search, knowledge management platforms, or enterprise AI governance frameworks.
- Insurance or Financial Services industry experience.
- Experience integrating enterprise platforms such as ServiceNow, Jira, Confluence, SharePoint, Teams, Databricks, Snowflake, CRM, ERP, or other business-critical systems.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until July 26, 2026.
The annual salary for this position is between $ 98,000 - $ 115,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
