[Hiring] AI Lead Project Manager @BIRDSVUE LLC

Role Description

The AI Lead Project Manager for Electric Operations Technology is a senior technical leadership role responsible for the end-to-end delivery of a substation Edge AI product. This role combines 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
• OT-grade cybersecurity

They 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.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, or a closely related field. Master's degree preferred.
• 10+ years of progressive technical experience in electric power systems, OT product development, or related engineering fields.
• 5+ years in a technical lead, systems engineering lead, or engineering program management role with multi-partner delivery accountability.
• Demonstrated experience integrating complex embedded systems with hardware and software components from multiple vendors.
• Prior experience in substation environments (protection & control, SCADA, IEDs, communications) is required.
• Proven track record delivering technology products through hardware-software integration, test, and field deployment phases.

Requirements

• 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.

Benefits

• Remote position.
• Regular travel to partner sites, integration labs, and substation deployment locations required (estimated 25–40%).
• Work in active substation environments; compliance with all utility safety and PPE requirements.
• Availability for critical integration events and field deployment windows, which may include off-hours coordination.

Reporting & Organizational Context

• Reports to: Director / IIJA Product Delivery Lead
• Works closely with: Protection Engineering, OT Cybersecurity, IT/OT Architecture, Field Operations, Procurement, and external product and systems integration partners.
• Oversight: Direct or matrixed oversight of integration engineers, test engineers, and partner technical resources.