gem

Distribution Engineering AI Specialist

Senpilot

Toronto, CAN

Full-time

Senior · 5+ years experience

Hybrid

CAD 140000-185000 yearly / year

Discovered 1 months ago

GISSCADAOMSADMSClaudeCodex

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Own domain quality for the Engineering AI Agent: review outputs, build test cases, find the edge cases, and define the assumptions the product makes when data is incomplete
Translate messy utility engineering workflows into well-scoped product requirements, and define what the “gold standard” process looks like for each one
Support the commercial team as the engineering expert in the room: lead discovery, present and demo to utility engineering leadership, and scope pilot programs that close
Support implementations end to end: onboard planning and asset management teams, encode their workflows as skills in the product, and run workshops to train them
Work directly with customers on real engineering problems, from asset health scores to capital plan defensibility, helping them use the product and feeding what you learn back into the roadmap
Build the institutional knowledge layer: reusable skills, worked examples, and manuals, so your expertise compounds into the product
5+ years in distribution engineering at an electric utility with hands-on ownership of asset management, system planning, capital planning, or reliability work, having personally built or defended the analysis
Depth in some combination of asset management, capital prioritization, load forecasting, grid modernization, power flow, and/or storm and resiliency planning
Working familiarity with GIS, SCADA, OMS, or ADMS data, and experience supporting grid analytics or data modernization efforts
Fluency in the day-to-day work products of engineering, finance, and regulatory teams, and the ability to define how these artifacts seamlessly tie into the platform
Product quality reflex: addressing customer questions, advocating for how the product must improve and building test cases and benchmarks to measure performance
Comfort in front of customers, including articulating the platform’s value to all levels (engineers, management, executives), and running workshops or meetings
Ability to make defensible assumptions with incomplete information and balance time across priorities to ensure the critical items get done
Fluency with modern AI tools (Claude, Codex, etc.) and large datasets is a must; coding and tinkering with personal projects is a plus but not a requirement
P.Eng or a history of presenting to regulators or industry audiences is a plus.
Competitive Compensation: The estimated base salary range for this role in Canada is $140,000 CAD - $185,000 CAD with most new hires joining near the midpoint. Actual salaries may vary within the range, or above or below it, based on factors such as experience, skills, location, and business needs.
Equity
Comprehensive health benefits from day one, for you and your dependents
Time Off: 20 vacation days + 5 flex days around EOY holidays

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