AI Workflow Project Manager Electrical Engineering Automation
$98,400–$164,000 year
RemoteCanada
Job Summary
Lead the design, implementation, and operationalization of an end-to-end AI workflow for electrical engineering automation across the project lifecycle. Define and integrate AI-enabled tools including large language models, structured data pipelines, and automated drawing solutions to support requirements capture, feasibility analysis, and wiring generation. Establish human verification checkpoints at each workflow stage, deploy tools that interpret customer RFQs and technical data, and drive adoption through training and structured methods for validating AI outputs. Define and track key performance indicators such as first-pass accuracy and verification cycle time while leading continuous improvement efforts based on project execution and user feedback. This role bridges technical project leadership with AI product ownership to transform protection and control engineering delivery.
Required Qualifications
- Bachelor's degree in electrical engineering, Power Systems Engineering, Computer Engineering, or a related field with strong electrical specialization
- Minimum of 5 years of experience in protection and control engineering, power systems engineering, or related electrical project delivery
- Experience delivering AI-enabled tools, engineering automation systems, or digital workflow solutions in a technical or industrial setting
- Excellent communication and stakeholder engagement skills, with the ability to communicate effectively across technical and non-technical audiences
Desired Qualifications
- Demonstrated experience in P&C panel design, manufacturing, FAT/SAT, commissioning, or equivalent technical project environments
- Knowledge of relevant standards such as IEC 61439, IEC 60255, IEC 62271, IEC 61850, NEMA, CSA, or equivalent
- Proven experience managing cross-functional technical projects with responsibility for scope, schedule, budget, and stakeholder alignment
- Ability to work effectively with software developers, data teams, and engineers as both a domain expert and product owner
- Demonstrated change leadership and the ability to drive adoption of new tools and workflows across experienced engineering teams
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