Senior AI Enablement Architect

TC Energy; Calgary; Hybrid; CAD 140,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Flexible dress code

Job summary

TC Energy is seeking a Senior AI/ML Developer to guide enterprise AI adoption within Information Services. You will shape standards, provide technical direction, and work hands-on as needed to ensure secure, scalable AI solutions aligned with enterprise policies.

The role emphasizes responsible AI, pattern development, and collaboration with governance, security, and delivery teams across Canada and North America. A hybrid work model supports flexible office-based work.

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.

Responsibilities

• 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

Skills

Cloud AI concepts

Python

Generative AI

LLMs

Prompt engineering

Education

University degree in Computer Science/Software/Data Engineering

Tools

LangChain

LangGraph

Strands

AgentCore

Bedrock Agents

Copilot Studio

Power Platform

Fabric

Purview

Job description

TC Energy is seeking a Senior AI/ML Developer to guide enterprise AI adoption within Information Services. You will shape standards, provide technical direction, and work hands-on as needed to ensure secure, scalable AI solutions aligned with enterprise policies.

The role emphasizes responsible AI, pattern development, and collaboration with governance, security, and delivery teams across Canada and North America. A hybrid work model supports flexible office-based work.