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Added 27 mins ago
HC
Sales Development Representative
Harris Computer
Toronto, ON · Office - Toronto - Richmond St
- Full-time
Prioritize and organize lead pipeline for maximum efficiency on a daily basis
Added 27 mins ago
Automotive Sales Advisor - Campus Honda Victoria
The Jim Pattison Auto Group
Victoria, BC
Continuously develop product knowledge and stay up to date on OEM features, technology, and market trends.
Added 27 mins ago
K
Consultant, Financial Services-Insurance & Wealth & Asset Management
KPMG
ON · Toronto, Ontario
- Full-time
…deliver value - using strategy, process improvement, data, technology, and AI as practical levers for…
Added 27 mins ago
K
Manager, Financial Services-Wealth & Asset Management
KPMG
ON · Toronto, Ontario
- Full-time
…support the planning and management of client engagements, lead key workstreams, contribute to the day-to-day execution of services, and support business development…
Added 27 mins ago
RD
Superintendent of Utilities, Parks, and Facilities (Exempt; Permanent, Full-time)
Regional District of Fraser-Fort George
Prince George, BC
- Full-time
…Leader, Environmental Field Supervisor, Environmental Services Lead Hand, Environmental Service Worker 1s, and other operational staff assigned to utilities, parks, and facility…
Added 27 mins ago
CS
Instructor, Cyber-Defender Ethical Hacking (Calgary)
Circuit Stream
Calgary, AB
- $1,650 CAD / week
- Contract
…and excited to help young people discover where theirs might lead, you’ll thrive…
Added 27 mins ago
A
Principal Data Scientist
Autodesk
Montreal, QC
- Full-time
Lead junior/ senior data scientists and analysts. Apply statistical techniques to model customer behavior and trends to identify potential opportunities for growth and improvement
Added 27 mins ago
CC
Financial Associate - MFDA
Coast Capital
Victoria, BC
- Full-time
Processing day to day administrative operations including, but not limited to: assuming lead liaison role in all member estate and marital dissolution administration; managing FP messages…
Added 42 mins ago
NA
Security & Technology Services Manager
New Age Group
Concord, ON
- Full-time
For more than 25 years, The New Age Group has delivered security and technology solutions for residential, commercial, industrial, institutional, and multi-residential clients. Our…
Added 42 mins ago
NA
Senior Security Systems Technician
New Age Group
Concord, ON
- Full-time
For more than 25 years, The New Age Group has delivered security and technology solutions for residential, commercial, industrial, institutional, and multi-residential clients. Our…
Added 42 mins ago
NA
Level 1 Security Systems Technician
New Age Group
Concord, ON
- Full-time
For more than 25 years, The New Age Group has delivered security and technology solutions for residential, commercial, industrial, institutional, and multi-residential clients. Our…
Added 42 mins ago
NA
Apprentice Security Systems Technician
New Age Group
Concord, ON
- $22 CAD / hour
- Full-time
For more than 25 years, The New Age Group has delivered security and technology solutions for residential, commercial, industrial, institutional, and multi-residential clients. Our…
Added 42 mins ago
NA
Labourer
New Age Group
Concord, ON
- $28 CAD / hour
- Full-time
For more than 25 years, The New Age Group has delivered security and technology solutions for residential, commercial, industrial, institutional, and multi-residential clients. Our…
Added 42 mins ago
NA
Experienced Security Systems Integration Technician
New Age Group
Concord, ON
- $85,000 to $100,000 CAD / year
- Full-time
For over 25 years, The New Age Group has delivered trusted security and technology solutions, specializing in video surveillance, access control, communications, networking, and…
Added 42 mins ago
NA
Level II Security Systems Technician
New Age Group
Concord, ON
- $45 CAD / hour
- Full-time
For more than 25 years, The New Age Group has delivered security and technology solutions for residential, commercial, industrial, institutional, and multi-residential clients. Our…
Added 56 mins ago
SC
Senior Project Manager - Northeast-Canada Market Unit
SAP Careers
Toronto, ON
- $190,000 to $240,000 CAD / year
- Full-time
You lead complex, multi-workstream programs and take full ownership from mobilization to close. Your experience is built on delivering complex programs at scale - with discipline, quality,…
Added 56 mins ago
SC
Delivery Executive | Northeast-Canada Market Unit
SAP Careers
Toronto, ON
- $260,000 to $310,000 CAD / year
- Full-time
Lead Steering Committees and Business Reviews at C-suite level – keeping stakeholders accountable to program commitments.
Added 1 hour ago
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Senior Fire Protection Engineer
HDR
Toronto, ON
- Full-time
…built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of…
Added 1 hour ago
S&
Senior Instrumentation & Controls Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…provide an excellent opportunity to advance your career. You will lead a team of nuclear I&C Engineers and interface with the discipline engineers and designers on the Project Team and with…
Added 1 hour ago
J
Operations Associate (Legal & Compliance)
Jerry.ai
Remote, Canada
- $65,000 to $80,000 CAD / year
- Full-time
- Remote
…environment. If you are eager to sit at the intersection of law, technology, and AI-driven efficiency, we want to hear from…
Added 1 hour ago
CC
Retail Shift Leader
Canna Cabana
Burlington, ON · Guelph Line, Burlington, ON
- $17.95 to $19.5 CAD / hour
- Part-time
Skills to monitor and lead by example as required
Added 1 hour ago
CC
Retail Shift Leader
Canna Cabana
Slave Lake, AB
- Part-time
Skills to monitor and lead by example as required
Added 1 hour ago
FT
AI Field Engineer, EMEA
FDE Times
London, ON
- Full-time
AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems,…
Added 1 hour ago
FT
ML Engineer Manager, AI Conversation Platform
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Lead by example in high-growth, high-impact, ambiguous environments
Added 1 hour ago
VT
Implementation Consultant
Viv Technologies Inc.
Toronto, ON
- Full-time
We believe technology should feel human. That’s why we’re looking for a personable and patient Implementation Consultant who’s passionate about helping people learn and succeed.

Loblaw Companies Limited

Engineering Manager, Agentic AI & Machine Learning

Toronto, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Pay: Hiring Range / Échelle salariale à l’embauche :$170,000.00 - $220,000.00 / 170.000,00$ - 220.000,00$ (per year / par an)A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position.
Job type: Full-time
Experience: 2+ years of experience leading and mentoring technical teams, with demonstrated ability to develop engineers, manage delivery, and create a culture of accountability.
Posting language: English
Posted: Nov 6, 2026

Original job description

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.

Our teams are applying Agentic AI, Generative AI, and Machine Learning to solve complex problems across retail media, advertising, and digital commerce. From intelligent campaign creation and conversational analytics to forecasting, recommendations, and optimization, we're building AI systems that deliver meaningful business impact at scale.

We're looking for an Engineering Manager, Agentic AI & Machine Learning to lead a talented team of engineers developing and operating these capabilities.

This is an opportunity for a technically strong, hands-on engineering leader who enjoys working at the intersection of emerging AI technologies, scalable software systems, and real-world business problems. You'll help shape our AI engineering direction, grow a high-performing team, and take ownership of delivering reliable, production-grade solutions.

What You'll Do:

Lead and grow a high-performing engineering team: Manage, mentor, and develop talented AI/ML engineers, fostering technical excellence, ownership, collaboration, and continuous learning.
Drive Agentic AI innovation: Lead the architecture and development of AI-powered applications incorporating LLMs, agent orchestration, tool calling, retrieval, and intelligent workflows.
Build impactful Machine Learning solutions: Guide the development and productionization of ML models supporting forecasting, recommendations, relevance, targeting, and optimization.
Own end-to-end engineering delivery: Translate product strategy and business requirements into scalable technical solutions, taking ownership from architecture and development through deployment and ongoing operations.
Establish strong AI engineering practices: Champion robust evaluation frameworks, automated testing, observability, and continuous improvement of model quality, response accuracy, latency, reliability, and cost efficiency.
Provide technical leadership: Guide architectural decisions, design reviews, and engineering trade-offs across AI systems, distributed services, data pipelines, and cloud infrastructure. Remain close enough to the technology to help teams navigate complex engineering challenges.
Collaborate across functions: Partner closely with Product Management, Data Engineering, Software Engineering, and business stakeholders to define priorities, manage dependencies, and deliver measurable outcomes.
Build for production at scale: Promote sound engineering practices across CI/CD, MLOps, LLMOps, security, responsible AI, incident management, and operational readiness.
Shape the future of our AI capabilities: Evaluate emerging technologies, challenge existing approaches, and identify opportunities to build reusable engineering foundations that accelerate future product development.

Does This Sound Like You?

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.

Nice to Have:

Experience building production agentic systems using frameworks such as LangGraph, LangChain, CrewAI, or similar technologies.
Familiarity with Model Context Protocol (MCP), agent evaluation, human-in-the-loop workflows, and AI observability tools such as Langfuse.
Experience with Google Cloud Platform, Vertex AI, Gemini, or comparable cloud-based AI platforms.
Experience with recommendation systems, search and ranking, forecasting, experimentation, or optimization algorithms.
Exposure to Retail Media, AdTech, eCommerce, or large-scale customer-facing digital products.
Experience establishing engineering practices for teams building both traditional ML models and Generative AI applications.

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. 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.

Please Note:
Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

Hiring Range / Échelle salariale à l’embauche :$170,000.00 - $220,000.00 / 170.000,00$ - 220.000,00$ (per year / par an)A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste vacant existant. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.

#EN

#SS #LD #ON

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More about this job

Responsibilities

Lead and mentor a high-performing engineering team to develop and operate Agentic AI and Machine Learning solutions. Drive the architecture, productionization, and continuous improvement of scalable AI systems to deliver measurable business impact.

Requirements

Requires 7+ years of professional experience in software or machine learning engineering with a strong background in AI technologies. Candidates must have 2+ years of leadership experience and proficiency in Python, cloud-native applications, and modern AI/ML infrastructure.

Skills

Engineering management
Agentic AI
Generative AI
Machine learning
Python
LLMs
RAG
Cloud infrastructure
Distributed systems
MLOps
LLMOps
System architecture
Technical leadership
Stakeholder management
Data pipelines
API development

Benefits

Comprehensive training
Flexibility
Progressive careers

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Generative AI
Machine Learning
Engineering Management
Python
LLMs
RAG
MLOps
LLMOps
Cloud-native
Distributed Systems
Vertex AI
Google Cloud Platform
LangChain
LangGraph
CrewAI
Retail Media
AdTech
eCommerce
Forecasting
Recommendation Systems
API
CI/CD
Observability
Data Pipelines
Architecture
Technical Leadership
Software Engineering
Production-grade
Scalability

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