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About the Role
Lead a talented team of engineers developing and operating Agentic AI, Generative AI, and Machine Learning capabilities to solve complex problems across retail media, advertising, and digital commerce. This role offers an opportunity for a technically strong, hands-on engineering leader to shape AI engineering direction, grow a high-performing team, and deliver reliable, production-grade solutions.
Responsibilities
- Lead and grow a high-performing engineering team, fostering technical excellence, ownership, collaboration, and continuous learning.
- Lead the architecture and development of AI-powered applications incorporating LLMs, agent orchestration, tool calling, retrieval, and intelligent workflows.
- Guide the development and productionization of ML models supporting forecasting, recommendations, relevance, targeting, and optimization.
- Translate product strategy and business requirements into scalable technical solutions, owning delivery from architecture through deployment and operations.
- Champion robust evaluation frameworks, automated testing, observability, and continuous improvement of model quality, response accuracy, latency, reliability, and cost efficiency.
- Guide architectural decisions, design reviews, and engineering trade-offs across AI systems, distributed services, data pipelines, and cloud infrastructure.
- Partner closely with Product Management, Data Engineering, Software Engineering, and business stakeholders to define priorities, manage dependencies, and deliver measurable outcomes.
- Promote sound engineering practices across CI/CD, MLOps, LLMOps, security, responsible AI, incident management, and operational readiness.
- Evaluate emerging technologies, challenge existing approaches, and identify opportunities to build reusable engineering foundations that accelerate future product development.
Requirements
- 7+ years of professional experience in Software Engineering, Machine Learning Engineering, or related technical disciplines, including substantial experience building AI/ML-powered systems.
- 2+ years of experience leading and mentoring technical teams, with demonstrated ability to develop engineers, manage delivery, and create a culture of accountability.
- Proven experience designing, developing, and deploying production-grade AI/ML solutions, with a strong understanding of scalability, reliability, and operational requirements.
- Strong understanding of modern AI technologies, including LLMs, Generative AI, agentic workflows, retrieval-augmented generation (RAG), and techniques for evaluating AI system quality.
- Solid foundation in applied Machine Learning, including model development, evaluation, experimentation, and production deployment.
- Strong software engineering fundamentals, with proficiency in Python and experience building APIs, distributed systems, and cloud-native applications.
- Familiarity with modern AI/ML infrastructure, including model serving, orchestration, automated deployment, monitoring, and observability.
- Demonstrated ability to lead complex technical initiatives, balance short-term delivery with long-term architectural decisions, and navigate ambiguity.
- Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts, influence decisions, and collaborate across engineering and product teams.
- Candidates who are 18 years or older are required to complete a criminal background check.
Skills
- Agentic AI
- Generative AI
- Machine Learning
- LLMs
- Agent orchestration
- Tool calling
- Retrieval-augmented generation (RAG)
- Model development
- Model evaluation
- Model experimentation
- Production deployment
- Python
- APIs
- Distributed systems
- Cloud-native applications
- Model serving
- Orchestration
- Automated deployment
- Monitoring
- Observability
- CI/CD
- MLOps
- LLMOps
- Security
- Responsible AI
- Incident management
- Operational readiness
- LangGraph
- LangChain
- CrewAI
- Model Context Protocol (MCP)
- AI observability tools
- Langfuse
- Google Cloud Platform
- Vertex AI
- Gemini
- Recommendation systems
- Search and ranking
- Forecasting
- Experimentation
- Optimization algorithms
- Retail Media
- AdTech
- eCommerce
- Large-scale customer-facing digital products
Location
- Canada
Work Type
- Full-time
Experience Level
- 7+ years of professional experience in Software Engineering, Machine Learning Engineering, or related technical disciplines
- 2+ years of experience leading and mentoring technical teams
Salary/Compensations
- $170,000.00 - $220,000.00 per year
Benefits
- Progressive careers
- Comprehensive training
- Flexibility
- Competitive benefits
About the Company
- Loblaw Companies Limited is one of Canada's largest employers, committed to positively impacting the lives of all Canadians and shaping the future of Canadian retail.
- Our teams are applying Agentic AI, Generative AI, and Machine Learning to solve complex problems across retail media, advertising, and digital commerce.
- Our commitment to Sustainability and Social Impact is an essential part of the way we do business, focusing on Environment, Sourcing and Community.
- Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture.
- We are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.
Equal Opportunity
- We are looking for varied perspectives which include diverse experiences that we can add to our team.
- We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop.
- We are committed to creating accessible environments for our colleagues, candidates and customers.
- Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment.
- We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.