Principal Engineer, AI/ML

Principal Engineer, AI/ML

Location: Hybrid — Canada or U.S. (Toronto, Ann Arbor, Frisco, Eagan)

About the Opportunity

We’re partnering with the innovation lab of a global enterprise organization at the forefront of applying AI, machine learning, and data science to real-world professional workflows.

This group operates like a startup within a large-scale platform, building cutting-edge products that leverage LLMs, generative AI, and agentic systems to transform how users interact with complex information.

* AI-powered research and summarization

* Intelligent content and knowledge systems

* End-to-end automation of high-value professional workflows

This is a rare opportunity to work on AI-native products at scale, with meaningful real-world impact.

Role Overview

As a Principal Engineer, AI, you will lead the design and delivery of next-generation AI systems, driving technical strategy and building scalable, production-grade GenAI applications.

You’ll operate at the intersection of:

* Architecture

* Hands-on engineering

* Cross-functional leadership

What You’ll Do

* Define and drive technical strategy for large-scale AI initiatives

* Architect and build LLM-powered applications and agentic systems

* Lead development of AI-native features for content and knowledge platforms

* Design scalable systems leveraging RAG, prompt engineering, and fine-tuning

* Integrate GenAI into user-facing applications and workflows

* Mentor and guide senior engineers and technical leaders globally

* Partner with product and business teams to translate requirements into technical solutions

* Own delivery of complex, high-impact engineering initiatives

Core Tech Areas

* AI/ML: LLMs, Generative AI, RAG, Agentic Systems

* Languages: Python, Java, TypeScript (varies by team)

* Cloud: AWS, Azure, or GCP

* Frameworks: LangChain, LLM tooling, modern AI dev frameworks

* Practices: DevOps, CI/CD, scalable distributed systems

What They’re Looking For

* 10+ years of hands-on software engineering experience

* Proven experience building scalable AI / ML / GenAI systems in production

* Strong understanding of:

* LLMs and generative AI

* RAG architectures

* Prompt engineering and fine-tuning

* Agent-based / agentic systems

* Experience working in cloud environments (AWS, Azure, or GCP)

* Background in enterprise SaaS or large-scale platforms

* Ability to operate in ambiguous, fast-moving environments

* Strong communication skills and ability to influence across teams

* Experience mentoring engineers and driving engineering best practices

Nice to Have

* Experience building AI systems for content, knowledge, or domain-specific workflows (e.g., legal, compliance, research)

* Familiarity with AI governance, evaluation, and responsible AI practices

* Advanced degree in Computer Science, Engineering, or related field

Why This Role

* Work on cutting-edge GenAI systems with real-world impact

* Combine startup velocity with enterprise scale and resources

* High visibility role with influence across product and engineering strategy

* Opportunity to shape AI-native platforms from the ground up

Ideal Candidate

* Deeply technical AI/ML engineer with architectural mindset

* Comfortable owning systems from design → build → scale

* Passionate about LLMs, agentic systems, and applied AI

* Thrives in environments requiring ownership, autonomy, and leadership