Senior Jama Connect Administrator / Enterprise Integration & AI Automation Engineer

Role Overview

We are seeking an experienced Senior Jama Connect Administrator / Enterprise Integration & AI Automation Engineer with strong expertise in Jama Connect administration, enterprise middleware integrations, Model Context Protocol (MCP), AI Agent development, and agent orchestration. The ideal candidate will be responsible for administering and optimizing the Jama Connect platform, designing and implementing integrations across enterprise engineering and ALM/PLM platforms, and developing AI-powered automation solutions to improve requirements management, traceability, engineering productivity, and operational efficiency.

What You Will Do

Administer, configure, maintain, and optimize the Jama Connect platform. Design, implement, configure, and maintain enterprise integrations using ConnectALL and/or OpsHub Integration Manager. Develop and maintain integrations and automation using Jama Connect REST APIs.

Why It Might Be a Fit

The ideal candidate should be capable of owning the complete technical lifecycle—from Jama platform administration and enterprise system integration through MCP enablement and development of secure, production-ready AI Agent workflows.

Requirements

• 5–8+ years of overall IT experience with at least 3+ years in ALM/PLM administration, enterprise engineering platforms, or system integrations.
• 5+ years of strong hands-on experience administering and configuring Jama Connect.
• Experience with Jama Connect concepts including: Requirements management, Item types and relationships, Workflows, Reviews and approvals, Baselines, Traceability, Templates, User/role/permission administration.
• 3+ years of strong experience with Jama Connect REST APIs and API-driven automation.
• Hands-on experience with ConnectALL and/or OpsHub Integration Manager.
• Experience integrating enterprise applications such as Jama Connect, Jira, ServiceNow, and ALM/PLM platforms.
• Strong knowledge of REST APIs, JSON, webhooks, OAuth/API authentication, and bidirectional system integrations.
• Hands-on development experience with Model Context Protocol (MCP), including MCP servers, tools, resources, and enterprise connectors.
• Experience developing AI Agents / Agentic AI applications using modern LLM frameworks and APIs.
• Strong understanding of AI Agent orchestration, tool calling, workflow execution, context/state management, and human-in-the-loop patterns.
• Experience integrating LLMs with enterprise applications, APIs, structured data sources, and engineering platforms.
• Understanding of enterprise security principles including authentication, authorization, RBAC, auditing, data privacy, and secure API access.