Teamcenter Agentic Engineer

Capgemini • Atlanta, GA

2d • Remote

About The Position

As an Agentic Engineer, you will be at the forefront of developing AI systems that can act autonomously on behalf of users. You will collaborate with cross-functional teams to design, develop, and implement AI agents that can perform tasks, make decisions, and solve problems with minimal human intervention.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related technical field
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or similar technologies
• Experience with programming languages such as Python, Java, or C++
• Experience in using Market leading GenAI tools like GitHub CoPilot, Microsoft CoPilot especially their Agentic AI capabilities
• Understanding of Large Language Models (LLMs) and their applications in agentic systems
• Familiarity with AI agent frameworks such as LangChain, AutoGPT, or similar technologies
• Understanding of Product Lifecycle Management (PLM) concepts and workflows
• Strong analytical thinking and problem-solving abilities
• Excellent written and verbal communication skills
• Ability to work effectively in cross-functional teams
• Self-motivated with a growth mindset and eagerness to learn
• Adaptability to rapidly evolving technologies and requirements
• Attention to detail and commitment to delivering high-quality work
• Interpersonal skills and teamwork orientation
• Proactive approach to tasks and challenges
• Customer Service orientation

Nice To Haves

• Hands On Experience with such as Siemens Teamcenter configuration and customization is preferred
• Familiarity with configuration management and change management within PLM systems is preferred
• Experience integrating AI capabilities with PLM platforms for enhanced decision support is preferred

Responsibilities

• Designing and developing autonomous AI agents using state-of-the-art frameworks and technologies on PLM Platform and Frameworks
• Implementing and optimizing machine learning models and algorithms for agentic ai tools to develop end to end AIDLC processes
• Creating and maintaining documentation for AI agent architectures and implementations
• Collaborating with PLM domain experts to enhance the developed agentic capabilities
• Testing and validating AI agent performance across various scenarios and environments
• Staying current with the latest advancements in AI agent technologies and methodologies

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees