Artificial Intelligence (ai) Engineer

Canadian Derivatives Clearing Corporation

Base: 100,000pyear - 120,000pyear cad; bonus/equit...
Hybrid
Agentic workflow development
Llm apis (gemini/openai/claude)
Cloud computing platforms (aws, azure, gcp)
The Artificial Intelligence (AI) Engineer will design, develop, and deploy intelligent systems and applications that solve complex business problems, and bridge the gap between foundation models and production-ready software

Job Summary

  • The Artificial Intelligence (AI) Engineer will design, develop, and deploy intelligent systems and applications that solve complex business problems, and bridge the gap between foundation models and production-ready software.
  • Work closely with Data Scientists, Data Engineers, and cross-functional teams to align AI solutions with business objectives and ensure data quality.
  • TMX is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate.

Matching Summary

The Artificial Intelligence (AI) Engineer will design, develop, and deploy intelligent systems and applications that solve complex business problems, and bridge the gap between foundation models and production-ready software.

Salary

Base: 100,000/year - 120,000/year CAD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Agentic Workflow Development
  • LLM APIs (Gemini/OpenAI/Claude)
  • Cloud computing platforms (AWS, Azure, GCP)
  • Python, C++, Java
  • Machine learning algorithms
  • Prompt Engineering & Optimization

Nice-to-have

  • Connecting cross-functionally
  • Meaningful collaboration
  • Nimble operating model
  • Continuous improvement and retraining

Key Requirements

  • Degree in Computer Science, Software Engineering, Applied Mathematics, or related quantitative field
  • Experience with specialized AI domains (NLP, ML, Computer Vision, Generative AI/LLMs or Agentic AI)
  • Hands-on experience building applications with LLM APIs
  • Strong understanding of software development principles, Git version control, and relational databases (SQL)
  • Solid grasp of machine learning algorithms, statistical modeling, and data structures
  • Strong communication skills translating AI into business impact

Work Rights

Authorized to work in the country

Tailored Resume

Cover Letter