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.

What You Will Do

Administer and optimize the Jama Connect platform, design and implement integrations across enterprise engineering and ALM/PLM platforms, and develop AI-powered automation solutions to improve requirements management, traceability, engineering productivity, and operational efficiency.

Why It Might Be a Fit

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.

Requirements

• 5–8+ years of overall IT experience
• 3+ years of hands-on experience in ALM/PLM administration, enterprise integrations, or engineering systems
• Strong expertise in Jama Connect administration, enterprise middleware integrations, Model Context Protocol (MCP), AI Agent development, and agent orchestration
• 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