AI Applications Developer

tcenergy; Calgary; On-site; CAD 120,000 - 180,000; Full time

Job summary

TC Energy seeks a Senior AI/ML Developer to guide AI adoption across Information Services, shaping design, governance, and hands-on delivery of AI-enabled solutions. You will evaluate technologies, establish reusable patterns, and ensure secure, scalable implementations aligned with enterprise standards.

Role emphasizes responsible AI, model evaluation, and collaboration with cybersecurity, privacy, and risk teams. Expect leadership across cloud platforms and interactions with delivery teams.

Qualifications

• University degree in Computer Science, Software/Data Engineering, or a related discipline.
• 4+ years of relevant experience.

Responsibilities

• Enable emerging AI capabilities across IS and translate them into practical guidance and adoption strategies.
• Define technical standards, patterns, and evaluation approaches for AI-enabled solutions.
• Guide AI solution delivery from discovery through implementation with security, scalability, and enterprise alignment.
• Provide senior technical judgment on model/tool selection and architectural decisions.
• Embed responsible-AI practices with governance and privacy considerations.
• Define testing, observability, and lifecycle standards for AI models and processes.
• Share knowledge and accelerate adoption through reusable guidance and templates.
• Provide leadership across cloud, AI, and application platforms to align with business goals.

Skills

Python

Cloud AI concepts

Generative AI

LLMs

Prompt engineering

RAG architectures

Education

University degree in Computer Science or related field

Tools

LangChain

LangGraph

Strands

AgentCore

Bedrock Agents

Job description

Determined, imaginative, curious-if these are some of the ways you describe yourself, we want to learn more about you!

At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.

The Opportunity

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.

What You'll Do

• 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
• Share knowledge and accelerate adoption - create reusable guidance, templates, learnings, and enablement materials that help IS teams responsibly adopt AI technologies and tools
• Provide technical leadership and guidance across cloud, AI, and application platforms, evaluating solutions, influencing technology decisions, and ensuring alignment between business objectives and technical outcomes
• Utilize AWS cloud and AI services, including Bedrock, AgentCore, Bedrock Agents, Lambda, Step Functions, API Gateway, SageMaker, ECS, IAM, and CloudWatch, to support and enhance business solutions
• Apply agentic AI and Generative AI frameworks to design, develop, and support production-ready AI solutions, leveraging agent architecture patterns, prompt engineering, model evaluation techniques, LLM capabilities and limitations, and MCP server development and hosting
• Design and support data and knowledge architectures leveraging relational, graph, NoSQL, and vector databases, while enabling AI-powered solutions through retrieval-augmented generation (RAG), enterprise knowledge management, embeddings, re-ranking, and data retrieval strategies
• Develop and deploy AI and machine learning solutions using modern development and MLOps practices, including Python, API development, testing, CI/CD, workflow orchestration, monitoring, observability, and AI-assisted development tools; exposure to Microsoft technologies such as Copilot, Copilot Studio, Power Platform, Fabric, and Purview is an asset

Required Qualifications

• University degree in Computer Science, Software/Data Engineering, or a related discipline
• 4+ years of relevant experience
• A combination of education and experience may be considered

Preferred Qualifications

• Proven track record directing or overseeing the delivery of AI or software solutions internally and/or through partners and vendors
• Strong technical foundation in cloud AI concepts and Python sufficient to guide, evaluate, and make credible technical decisions
• Working knowledge of Generative AI, LLMs, prompt engineering, and RAG architectures
• Ability to work independently on complex problems, with decision-making authority within the role's scope
• Experience coordinating technical delivery across internal teams and external partners/vendors
• Familiarity with agentic frameworks (LangChain, LangGraph, Strands) and agent platforms (AgentCore, Bedrock Agents)