Senior Manager, Technology - AI Infrastructure, Analytics and Customer Data

Job description

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 product...s 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

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