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Principal AI Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Thoughtworks Inc.
Full Time position
Listed on 2026-07-25
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CAD Yearly CAD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

We are looking for a passionate and skilled AI engineer who is a technical authority at the domain or business unit level. In this role, you will set the direction for how AI engineering is practiced across multiple teams, define reusable patterns and frameworks, and drive adoption of best practices. You will influence technical roadmaps, mentor senior engineers and leads, and ensure our AI solutions are scalable, reliable and aligned with organizational goals.

Operating with broad autonomy, you will shape the evolution of AI engineering within your area, while contributing to the wider engineering community.

Responsibilities
  • Set the direction for how AI engineering is practiced across multiple teams
  • Define reusable patterns and frameworks, and drive adoption of best practices
  • Influence technical roadmaps and mentor senior engineers and leads
  • Ensure AI solutions are scalable, reliable and aligned with organizational goals
  • Shape the evolution of AI engineering within the area and contribute to the wider engineering community
Qualifications
  • Mastery of Python and software engineering at scale
  • Track record of architecting scalable AI systems and defining reusable frameworks and patterns
  • Thought leadership in applying GenAI and agentic frameworks across domains
  • Deep expertise in large-scale RAG systems and advanced information retrieval architectures
  • Significant experience deploying AI systems across cloud platforms with complex infrastructure, containers and orchestration
  • Experience defining organizational standards for LLMOps, monitoring and reliability
  • Advanced experience with model customization, fine-tuning and applying ML/NLP frameworks to solve complex problems
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