Senior Staff Engineer, PLM, AI ML Integration
Company Description: We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description: REQUIREMENTS • Total 7.5 years’ experience • Experience in AI Application Solution Design and PLM solution architecture • Strong knowledge of PLM processes, product lifecycle management, and engineering data management • Hands-on experience with BOM structures, lifecycle workflows, and engineering change management • Experience integrating PLM with ERP, MES, CAD, and other enterprise systems • Understanding of AI/ML applications such as predictive analytics, automation, and data-driven insights in manufacturing or engineering workflows • Strong skills in data modeling, APIs, and enterprise system integrations • Familiarity with manufacturing environments and product development processes • Experience with enterprise PLM platforms (tool-agnostic) • Strong communication and stakeholder management skills RESPONSIBILITIES • Design and implement AI-enabled PLM solution architectures • Define PLM data models, workflows, lifecycle rules, and BOM structures • Lead requirements gathering and solution design with engineering and manufacturing teams • Integrate PLM systems with ERP, MES, CAD, and enterprise platforms • Implement AI-driven capabilities such as analytics, automation, and predictive insights • Support PLM configuration, customization, and deployments • Troubleshoot PLM workflows, integrations, and data management issues • Conduct architecture reviews and ensure PLM best practices across implementations Qualifications: Bachelor’s or master’s degree in computer science, Information Technology, or a related field.