Senior AI Controls Solutions Engineer (Electrical Systems)
USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 10–15 years of experience
- Required Skills
- PythonArtificial IntelligenceTroubleshooting
Requirements
- 10–15 years of experience in controls engineering, electrical systems, or related technical fields.
- Strong expertise in power distribution systems, particularly in data center or large-scale industrial environments.
- Deep understanding of electrical engineering principles, applied physics, and control system architectures.
- Hands-on experience with industrial control systems (PLC, ladder logic, structured text, or equivalent programming languages).
- Ability to analyze system performance, troubleshoot complex issues, and optimize engineered solutions.
- Experience working with cross-functional teams including operations, engineering, and product development.
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience in Python scripting or collaboration with software teams is a strong plus.
- Background in electrical engineering, control systems, applied mathematics, or related disciplines preferred.
- Ability to work independently, manage multiple priorities, and lead solution delivery in a remote environment.
Responsibilities
- Lead the deployment and operationalization of AI-based control systems for electrical and power distribution environments in industrial-scale facilities.
- Build and maintain accurate digital models of customer facilities, including system mapping, data tagging, and integration into AI platforms.
- Collaborate closely with data science and product teams to translate real-world electrical system behavior into AI-ready inputs and control logic.
- Support troubleshooting, triaging, and performance analysis of deployed systems to ensure reliability and continuous optimization.
- Gather and translate customer requirements into structured technical specifications for engineering and product development teams.
- Contribute to product improvement by providing feedback on system performance, scalability, and customer needs.
- Participate in customer engagement, onboarding, and occasional site visits to ensure successful deployment and adoption.
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