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 administrati
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.
Strong troubleshooting, analytical, solution-design, and technical documentation skills.
Nice to have
Experience with Python, JavaScript/TypeScript, Java, or similar programming languages for API integration and automation.
Experience with AI/Agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent frameworks.
Experience with enterprise Generative AI platforms such as Azure OpenAI, AWS Bedrock, or similar LLM platforms.
Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, enterprise search, and knowledge grounding.
Experience implementing secure AI solutions in enterprise environments.
Familiarity with CI/CD, Git, DevOps practices, containers, and cloud deployment models.
Experience working with engineering, product development, quality, regulatory, or systems engineering teams.
Experience in regulated industries such as Life Sciences, Medical Devices, Healthcare, Automotive, Aerospace, or Manufacturing would be an advantage.
Full description
Req ID: 395761
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Jama Connect Administrator / Enterprise Integration & AI Automation Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Experience: 5–8+ years of overall IT experience, including 3+ years of hands-on experience in ALM/PLM administration, enterprise integrations, or engineering systems Role Type: Technical Lead / Senior Engineer / Solution Architect
Position Summary
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.
This is a hands-on technical role requiring a combination of Jama Connect platform expertise, API and middleware integration skills, MCP development, and modern Generative AI/Agentic AI engineering capabilities.
Key Responsibilities
1. Jama Connect Administration & Engineering
- Administer, configure, maintain, and optimize the Jama Connect platform.
- Manage user provisioning, roles, permissions, licenses, groups, and access controls.
- Configure and maintain projects, workflows, item types, relationships, review processes, baselines, and reusable templates.
- Support enterprise requirements management processes, including requirements authoring, traceability, baselining, reviews, approvals, and reporting.
- Develop and maintain integrations and automation using Jama Connect REST APIs.
- Troubleshoot platform configuration, performance, integration, authentication, and user-access issues.
- Establish and maintain platform governance, configuration standards, change management processes, and administration best practices.
- Partner with engineering and business teams to improve requirements management and end-to-end traceability.
- Develop AI-assisted capabilities for requirements analysis, traceability validation, impact analysis, review support, and engineering productivity.
- Evaluate AI Agent accuracy, reliability, security, latency, scalability, and operational performance.
- Establish appropriate testing and monitoring approaches for production AI solutions.
Required Skills & Experience
- 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.
- Strong troubleshooting, analytical, solution-design, and technical documentation skills.
Preferred Skills
- Experience with Python, JavaScript/TypeScript, Java, or similar programming languages for API integration and automation.
- Experience with AI/Agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent frameworks.
- Experience with enterprise Generative AI platforms such as Azure OpenAI, AWS Bedrock, or similar LLM platforms.
- Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, enterprise search, and knowledge grounding.
- Experience implementing secure AI solutions in enterprise environments.
- Familiarity with CI/CD, Git, DevOps practices, containers, and cloud deployment models.
- Experience working with engineering, product development, quality, regulatory, or systems engineering teams.
- Experience in regulated industries such as Life Sciences, Medical Devices, Healthcare, Automotive, Aerospace, or Manufacturing would be an advantage.
The ideal candidate is not solely a Jama administrator or a traditional integration developer. We are looking for a hands-on technical engineer/architect who can bridge Jama Connect, enterprise integration middleware, MCP, and Agentic AI.
The 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.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.