Agentic AI Engineer
Job
Siemens
Remote
$190,850 Salary, Full-Time
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Job Description
Agentic AI Engineer Job
ID 506205
Posted since 12-May-2026 Organization Smart Infrastructure Field of work Research & Development Company Siemens Industry, Inc. Experience level Experienced Professional Job type Full-time Work mode Remote only Employment type Permanent Location(s) Atlanta- Texas
- United States of America Chicago
- Illinois
- United States of America Dallas
- Texas
- United States of America Denver
- Illinois
- United States of America Detroit
- Texas
- United States of America Raleigh
- Illinois
United States of America 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. 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.
- $220,800 annually with a target incentive of 15% annually.
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