Job description
Position Location : This role is remote, ideally based near Denver, Atlanta, Dallas, Detroit, Raleigh, or Chicago. The Agentic AI Engineer is a technical specialist within Siemens’ AI Factory ecosystem, focused on the application of AI agents in conjunction with real-time industrial systems. This role enables intelligent control optimization, error detection, and adaptive response while ensuring secure, reliable deployment of AI agents in critical industrial environments. You’ll make an impact by 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. Core Competencies AI Agent Integration: Applies AI agents within real-time and industrial automation systems. Secure AI Deployment: Designs access, governance, and security models for AI agents in critical systems. Systems Thinking: Connects applied science and engineering principles to software, controls, and automation solutions. Early Technology Adoption: Actively evaluates, applies, and enables emerging AI technologies. Collaboration & Agility: Performs effectively within fast-moving, multi-disciplinary teams. Basic Qualifications 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 develop ing reinforcement learning models for controls optimization from telemetry data . Ability to work across disciplines in dynamic, fast-paced environments. Ability to travel domestically up to 50%, for up to a week at a time. Legally authorized to work in the United States on a continual and permanent basis without company sponsorship. Preferred Qualifications 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. Ready to create your own journey? Join us today! About Siemens We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Our Commitment to Equity and Inclusion in our Diverse Global Workforce We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us. You’ll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html The pay range for this position is $160,900 - $220,800 annually with a target incentive of 15% annually. Actual offer may be lower or higher depending on selected professional.
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