Engineering Manager, AI

Referred applicants should not apply directly to this role.

All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

Location:

1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

When you hire great people, great things can happen.

PC Financial offers unprecedented value to Canadians through payment products. We're a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

About the Role

An AI Engineering Manager specializing in agentic AI platforms and Generative AI applications is a pivotal leadership position at the intersection of artificial intelligence, software engineering, and team management. This role involves:

• Overseeing the entire lifecycle of agentic AI platform development, from architectural design to implementation, deployment, and continuous improvement of multi-agent systems.
• Leading the development and deployment of cutting-edge Generative AI applications, ensuring their effective integration and impact.
• Fostering a high-performing team dedicated to building robust and scalable AI agent infrastructure and innovative Gen AI solutions.
• Ensuring technical excellence in the development of core agentic AI components, services, and Generative AI applications.
• Aligning agentic AI and Generative AI initiatives with broader business objectives and strategic vision.
• Possessing a deep understanding of agentic AI architectures, multi-agent systems, Generative AI models, and related AI/ML technologies.
• Navigating complex technical and organizational challenges inherent in developing autonomous AI platforms and advanced Gen AI applications.

What you'll do:

• Lead and mentor a team of AI engineers focused on designing, developing, and deploying core agentic AI platforms, multi-agent systems, and Generative AI applications.
• Drive the end-to-end development lifecycle of agentic AI solutions and Generative AI applications, from conceptualization and prototyping to production deployment and ongoing optimization.
• Define and implement architectural strategies for scalable, secure, and resilient agentic AI platforms, including agent orchestration, communication protocols, and knowledge representation.
• Oversee the selection, fine-tuning, and deployment of large language models (LLMs) and other Generative AI models for various applications.
• Continuously evaluate and integrate new tools, frameworks, and methodologies to enhance the efficiency and capabilities of the agentic AI and Generative AI development teams and platforms.
• Evaluate and recommend innovative technologies and frameworks specifically related to agentic AI (e.g., new agent architectures, simulation environments) and Generative AI (e.g., new LLMs, multimodal models, prompt engineering tools).
• Ensure responsible AI practices are integrated into all Generative AI application development, addressing ethical considerations, bias, and safety.

What you bring:

• Bachelor's or master's degree in computer science, ML, AI, or a closely related technical discipline.
• Minimum of 10 years of experience in software development, with a significant portion focused on AI/ML systems.
• At least 6 months specifically dedicated to developing and deploying agentic AI systems, multi-agent platforms, or autonomous AI solutions.
• At least 2 years of experience in leading the development and deployment of Generative AI applications.
• A proven track record of at least 4 years in leading and mentoring a team of engineers focused on AI/ML engineering.
• Proficiency in programming languages such as Python or Java.
• Strong experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and specific experience with agentic AI frameworks or orchestration tools (e.g., LangChain, Google ADK, Pydantic, custom agent frameworks).
• Extensive experience with large language models (LLMs), including fine-tuning, deployment, and integration into applications.
• Solid understanding of LLM prompt engineering, retrieval augmented generation (RAG), and techniques for integrating large language models into agentic workflows and end-user applications.
• Familiarity with modern development practices, including CI/CD pipelines, version control systems (e.g., Git), and containerization/orchestration tools (e.g., Docker, Kubernetes) for deploying AI platforms and Generative AI services.
• Experience with distributed systems, microservices architectures, and cloud platforms (AWS, Azure, GCP) for building resilient AI infrastructure and Generative AI solutions.
• Solid understanding of cloud security best practices, data governance, and ethical AI considerations in agentic systems and Generative AI applications.
• Excellent verbal and written communication skills.