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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
