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: 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 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 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 Passionate about LLMs, agentic systems, and applied AI Thrives in environments requiring ownership, autonomy, and leadership #J-18808-Ljbffr