AI Applications Developer

TC Energy is scaling Artificial Intelligence from experimentation to enterprise adoption. We’re hiring a Senior AI/ML Developer to help Information Services evaluate, shape, and enable the use of new AI technologies, tools, platforms, and standards. This is a senior technical enablement and solution-guidance role. You will help define how AI solutions should be designed, built, evaluated, governed, and adopted across IS, while supporting delivery teams with credible technical direction and hands-on expertise when needed.

You’ll work at the intersection of emerging AI technology, enterprise standards, and practical delivery. The role supports IS by assessing fit-for-purpose AI approaches, defining reusable patterns, helping establish development and evaluation standards, and guiding teams through responsible use of GenAI, agentic AI, machine learning, and automation capabilities.

Enable emerging AI capabilities across IS - assess new AI/ML, GenAI, agentic-AI, and automation technologies and translate them into practical guidance, patterns, and adoption recommendations

Define technical standards and patterns - contribute to reusable architectures, coding standards, evaluation approaches, guardrails, and implementation practices for AI-enabled solutions

Guide AI solution delivery - support IS teams and partners with technical direction from discovery through implementation, ensuring solutions are fit-for-purpose, secure, scalable, and aligned to enterprise standards

Provide senior technical judgment - evaluate design options, advise on model/tool selection, review solution quality, and help teams make informed architectural and implementation decisions

Embed responsible-AI practices - partner with architecture, cybersecurity, privacy, risk, and governance teams to ensure AI solutions are designed with appropriate controls for privacy, data protection, bias, hallucination, and model risk

Support evaluation and lifecycle standards - define approaches for testing, measurement, observability, model evaluation, and continuous improvement without acting as the day-to-day production operations owner