Why This Role Stands Out
This role offers an exceptional opportunity to lead the end-to-end delivery of an innovative substation Edge AI product, combining deep technical authority with program ownership. You'll thrive if you possess extensive experience in embedded systems, AI/ML at the edge, and power systems, making you the ideal candidate to drive complex integrations and field deployments. Apply now to make a significant impact in cutting-edge electric operations technology.
Quick Overview
Job Description
RESPONSIBILITIES
Kforce's client in Boston, MA is seeking an AI Lead Project Manager for Electric Operations Technology. This is a senior role responsible for the end-to-end delivery of a substation Edge AI product. This position is the functional equivalent of the former Engineering Lead - combining deep technical authority with program ownership to drive a complex, multi-partner integration program from development through field deployment.
The successful candidate owns the full technical integration stack: embedded hardware, software, DSP algorithms, AI/ML engine and models, and OT-grade cybersecurity. The AI Lead Project Manager will serve as the primary technical interface between internal stakeholders and external partners, and as the accountable delivery lead for integration testing and operational deployment across substation sites.
REQUIREMENTS
- To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed
- Relevant education and/or training will be considered a plus
Experience with
- Power systems/substation OT: Protection and control systems, IEDs, SCADA, substation automation (IEC 61850, DNP3, Modbus)
- Embedded systems integration: Real-time OS, edge compute platforms, hardware bring-up, BSPs, driver-level software
- DSP/signal processing: Familiarity with power system signal processing concepts (phasor estimation, FFT, event detection) as applied to protection or power quality
- AI/ML at the edge: Understanding of inference pipeline deployment - model optimization (quantization, pruning), inference runtimes (ONNX, TensorRT, TFLite), and model performance validation
- OT Cybersecurity: Practical knowledge of IEC 62443 and NERC CIP standards; secure hardware and software architecture in critical infrastructure environments
- Systems engineering: Requirements management, interface control, verification and validation (V&V), configuration management
- Integration testing: Experience authoring and executing integration master test plans across HW/SW stacks; HIL test environments
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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