Agentic Innovation Specialist

CWP Energy is hiring an Agentic Innovation Specialist to make AI a real driver of growth across our trading technology, not only a way to work faster. You will join a team of hands-on builders who ship agentic systems alongside engineers, quantitative analysts and business partners on the trade desk.

CWP Energy is the physical power trading division of McGill St-Laurent, a Montreal-based group with teams in Canada and the US. This is not a data science or ML research role. We want a practical builder with a strong technical background and a proven record of AI-enabled delivery: the person others turn to when they want to get real work out of AI.

What you'll do

Agentic Innovation

• Run an AI lab for rapid innovation: test agentic solutions on prioritized use cases, and fail fast.
• Productize the use cases that prove out, following the approach set by the team.
• Create growth, not just efficiency: deliver and scale agentic solutions that open up new capabilities for the business.
• Partner with desk users and quantitative analysts to identify workflows and analytical processes that can be automated.
• Build testing and validation harnesses, including simulation and backtesting, so AI-enabled solutions are verified before they go live.
• Build more agentic systems, from decision-support agents to broader operations automation.

Operations

• Operate an AI harness that orchestrates, monitors, secures and scales AI agents across our platform.

What you'll bring

• A strong technical background, with several years of professional experience delivering working solutions in production.
• A proven track record in agentic innovation: creating and delivering agents that can transform a business.
• A bias for fast experiments and clear go/no-go decisions, and the discipline to turn a promising prototype into a supported product.
• The ability to validate the quality of agent outputs without being a domain expert, including finding ways, most often with AI itself, to evaluate results independently when subject-matter experts are not available.
• Comfort working directly with desk users and quantitative analysts, translating their ideas into working systems.
• Strong communication: you can explain trade-offs to non-technical colleagues and help them get comfortable using what you build.
• Fluency in at least one of English and French.

Nice to have

• Exposure to energy, commodities or financial trading, or to backtesting and simulation.
• Experience building agents with tool use, orchestration, evaluation and monitoring, and a feel for what makes them reliable or brittle.
• Practical judgment on cost versus quality across frontier and open-source models, including running models locally.
• Experience with security, access control and audit for AI agents in a regulated or data-sensitive environment.
• Experience with Python and modern data tooling, and with building evaluation harnesses for LLM systems.
• Fluency in both English and French.

Why join us

• Your work reaches production: you will build systems the desk uses every day, tied to measurable business outcomes.
• A new function with real scope: you will play a key role in how an entire trading platform adopts AI, from first experiments to production.
• Close access to desk users, quantitative analysts and decision-makers, with short paths from idea to production.
  
  CWP Energy is committed to an inclusive hiring process. Apply with your CV and, ideally, a short description or demo of an agentic system you have built.

#CWPE