Senior AI Enablement Architect

tcenergy

Calgary

On-site

CAD 120,000 - 180,000

Full time

2 days ago
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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

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.

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