Agentic AI Engineer

Siemens is a global technology company focused on industry, infrastructure, transport, and healthcare. The Agentic AI Engineer role involves applying AI agents in industrial systems to enhance control optimization and security, while collaborating in multi-disciplinary teams.

Responsibilities:

• Applying AI agents alongside real-time systems to enable control optimization, anomaly and error detection, and enhanced system responsiveness
• Developing and refining security, governance, and access-management strategies for AI agents operating in critical industrial processes
• Collaborating effectively in fast-paced, multi-disciplinary teams spanning automation, controls, software, and applied engineering domains
• Demonstrating an orientation toward early technology adoption, including hands-on use, experimentation, enablement, and peer training on emerging AI-agent capabilities
• Learning and applying underlying principles of applied science, engineering, and/or physics and mapping them to computer science, programming, and automation implementations

Requirements:

• Bachelor's degree in Computer Science, Engineering, Automation, or related technical field
• 1+ years Experience in design and implementation of generative AI- or LLM- based solutions
• Experience in developing reinforcement learning models for controls optimization from telemetry data
• Ability to work across disciplines in dynamic, fast-paced environments
• Advanced degree in Computer Science, Engineering, Applied Physics, or related discipline (Master's or PhD)
• Experience in design and deploy generative AI- or LLM- based in industrial, automation, or safety-critical environments
• Experience in integrating AI agents/ RL control schemes into existing tools
• Familiarity with secure system design, access control, and governance models for AI-enabled systems