Manager, Software Engineering & Ai

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued - as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.Does working with some of Canada's most talented minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology powers some of Canada's most game-changing retail solutions, giving our customers the ability to live their lives well.Come work with a team that values diverse ideas, fosters a culture of inclusion and develops our talent from within. Loblaw Technology gives you the chance to excel and helps you strive for success in a big way. Keep reading to learn more!Please note our hybrid work model is 4 days in officeManager, Software Engineering & AI
We are looking for an experienced AI Engineering Manager to lead a multidisciplinary team of AI engineers, frontend developers, and backend developers. The team builds internal AI agents, intelligent workflows, and enterprise applications using Python, LangGraph, Langfuse, Model Context Protocol (MCP), Google Cloud, React, JavaScript. You will guide architecture and delivery, develop engineering talent, and collaborate across product, architecture, security, data, and business teams to turn organizational needs into dependable AI solutions.What You’ll Do:
Lead a multidisciplinary team of AI, frontend, and backend engineers;
own hiring, onboarding,coaching, performance management, and career development while building an inclusive culture of accountability, collaboration, continuous learning, and trust.Partner with business teams, product managers, and stakeholders to identify valuable AI and workflow-automation opportunities, define priorities and roadmaps, and plan delivery against organizational needs.Guide the architecture and delivery of internal AI-powered applications, agents, and workflows using Python, LangGraph, Langfuse, and MCP;
oversee frontend development with React and JavaScript, and backend services and integrations with Python.Establish engineering standards for architecture, design reviews, code quality, testing, code reviews, CI/CD, and production readiness;
ensure solutions integrate securely with enterprise data, tools, and systems and are reliable, scalable, observable, and maintainable.Manage technical risks, dependencies, delivery commitments, and production health;
support incident resolution and continuous improvement, collaborate with architecture, security, data, infrastructure, and platform teams, and communicate decisions, risks, and progress to technical and non-technical stakeholders.What You Bring:
5+ years of professional software engineering experience and 2+ years leading or managing software engineering teams, including hiring, mentoring, and developing engineers across AI, frontend, and backend disciplines.Strong understanding of software architecture, system design, APIs, and distributed applications, with experience delivering internal enterprise applications or platforms into production.Working knowledge of LLM applications, AI agents, retrieval-augmented generation (RAG), prompt engineering, and tool calling;
familiarity with frameworks and platforms such as LangGraph, LangChain, Langfuse, and MCP.Strong frontend development knowledge with React and JavaScript and backend development with Python, and RESTful APIs;
experience with Google Cloud or another major cloud platform, automated testing, Git, CI/CD, observability, and production support.Understanding of data privacy, application security, AI safety, and responsible AI;
Agile and cross-functional delivery experience, strong communication and technical judgment, and a people-first approach. Assets include Vertex AI, Gemini, BigQuery, vector databases, embeddings, semantic search, Docker, enterprise knowledge/workflow automation, highly available applications, retail or e-commerce, and JIRA or Confluence.Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation's evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. At Loblaw, we celebrate diversity and strive to build a culture of inclusion where differences are embraced, valued and supported. We are committed to being an equal opportunity employer and
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