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Added 5 mins ago
Cookie Crew
Insomnia Cookies
Hamilton, ON
Part-time
As a Cookie Crew Member, you're part baker, part hospitality expert, and part late-night hero. Whether you're welcoming guests into the bakery, pulling a fresh tray of cookies from the…
Added 5 mins ago
Shift Leader
Insomnia Cookies
Hamilton, ON
Part-time
…leading the shift, you'll work side-by-side with your Cookie Crew to deliver warm, delicious cookies and an exceptional guest experience. From baking and packing orders to coaching…
Added 18 mins ago
Senior Software Engineer II, Data Lakehouse
Braze
Toronto, ON
Full-time
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
Added 18 mins ago
Software Engineer II, Data Lakehouse
Braze
Toronto, ON
Full-time
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
Added 19 mins ago
Software Engineer II, Data Lakehouse
Braze
Toronto, ON
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
Added 19 mins ago
Senior Software Engineer II, Data Lakehouse
Braze
Toronto, ON
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
Added 49 mins ago
Cookie Crew
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Hamilton, ON
$17.6 CAD / hour
Internship
As a Cookie Crew Member, you're part baker, part hospitality expert, and part late-night hero. Whether you're welcoming guests into the bakery, pulling a fresh tray of cookies from the…
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Shift Leader
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Supervisor, Maintenance Processing
Elk Valley Resources
Elkford, BC
$123,000 to $145,000 CAD / year
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$123,000 to $145,000 CAD / year
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Added 12 hours ago
IT Support Specialist
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Calgary, AB
Full-time
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Added 12 hours ago
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AB · Edmonton, AB
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Added 13 hours ago
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Full-time
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Unit Production Manager - Olympics/Paralympics, Partnership Content LA28 (Toronto) (English Services)
CBC/Radio-Canada
Toronto, ON
Full-time
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High Voltage Field Commissioning Lead
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Added 16 hours ago
High Voltage Field Commissioning Lead
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Calgary, AB
$175,000 to $245,000 CAD / year
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Added 18 hours ago
Journeyman/Apprentice Pipefitter - Fulton
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Vanguard

Principal AI/ML Engineer

Toronto, ON, Canada

Job type: Full-time
Experience: 10+ years of experience in software engineering, machine learning engineering, AI engineering, or related technical disciplines.
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

As a Principal AI Engineer, you will serve as a senior technical leader responsible for transforming state-of-the-art AI research into scalable, production-ready capabilities that create measurable value for our clients. You will lead the architecture, engineering, operationalization, and ongoing reliability of advanced AI systems, ensuring they can scale across enterprise environments while meeting rigorous standards for performance, security, resilience, and responsible AI.

This role sits at the critical intersection of AI research, engineering, product development, and operations. You will partner closely with world-class AI researchers, product leaders, and engineering teams to accelerate the journey from prototype to production. Your work will span some of the most advanced areas of AI, including Large Language Models (LLMs), Trustworthy AI, agentic systems, and emerging AI technologies.

You will mentor engineers, shape architecture, guide production support strategy, and serve as a thought leader for scaling AI across the organization. In addition to building and scaling AI solutions, you will help establish an engineering culture that emphasizes operational excellence, ownership, reliability, and continuous improvement.

Key Responsibilities:

AI Architecture & Technical Leadership

Define and lead the technical architecture for enterprise-scale AI and ML platforms.

Design scalable, resilient, and reusable AI systems capable of supporting mission-critical workloads.

Establish architectural standards, engineering patterns, and best practices for AI deployment and operations.

Drive technical decisions around model serving, inference optimization, agent architectures, orchestration frameworks, observability, and AI infrastructure.

Productize AI Research

Partner closely with AI researchers to transform cutting-edge prototypes into production-grade solutions.

Lead efforts to operationalize advanced AI capabilities across areas such as:

Large Language Models (LLMs)

Trustworthy and Responsible AI

Agentic AI Systems

Establish repeatable pathways that accelerate innovation-to-production cycles.

Ensure production solutions maintain scientific rigor while meeting enterprise engineering standards.

Bridge the gap between research breakthroughs and sustainable business value.

Engineering Excellence & Scalability

Solve the organization's most complex AI engineering and scalability challenges.

Design systems that operate reliably at enterprise scale while balancing performance, latency, governance, security, and cost.

Drive adoption of MLOps, LLMOps, and AI platform engineering best practices.

Improve the robustness, maintainability, observability, and operational readiness of our AI products.

Identify and eliminate architectural bottlenecks that impact scale, reliability, or client experience.

Raise standards through coaching, architecture reviews, design guidance, and technical leadership.

Production Reliability & Operational Leadership

Own the operational excellence, reliability, performance and availability of our products.

Lead technical response and resolution efforts for complex production incidents, performance degradation, model failures, and system outages.

Serve as the senior technical escalation point for the team's most challenging production challenges.

Establish best practices for AI system monitoring, observability, alerting, incident management, capacity planning, and service-level objectives (SLOs).

Mentor and lead junior engineers in troubleshooting, root cause analysis, operational decision-making, and incident response.

Drive post-incident reviews focused on learning, continuous improvement, and long-term corrective actions.

Develop operational processes that ensure AI solutions remain secure, scalable, performant, and reliable for business-critical use cases.

Partner with product, infrastructure, security, and support teams to proactively identify operational risks and continuously improve service reliability.

Mentorship & Thought Leadership

Mentor AI and ML engineers within the team.

Foster a culture of technical excellence and operational ownership where engineers are accountable not only for building systems, but also for running and supporting them successfully in production.

Represent our team as a thought leader in scalable AI deployment, operational excellence, and responsible AI practices.

Required Qualifications

10+ years of experience in software engineering, machine learning engineering, AI engineering, or related technical disciplines.

Deep expertise designing, deploying, and supporting large-scale AI and ML systems in production environments.

Demonstrated success leading complex technical initiatives from concept through deployment and ongoing operations.

Strong knowledge of software architecture, reliability engineering, observability, ML Ops, DevOps, and cloud technologies.

Proven ability to mentor engineers and lead teams through highly complex technical and operational challenges.

Preferred Qualifications

Experience with foundation models, Large Language Models, and agentic AI architectures.

Experience deploying agentic AI systems and multi-agent workflows.

Experience with Trustworthy AI, Responsible AI, AI governance, or model risk management frameworks.

Experience optimizing large-scale inference systems and AI infrastructure.

Experience working in highly regulated environments and mission-critical production systems.

What You'll Gain

This role offers a unique opportunity to operate at the forefront of applied artificial intelligence and help bridge world-class research with real-world impact.

You will:

Work directly with world-class AI researchers on breakthrough technologies and next-generation AI capabilities.

Own a critical position in the pipeline that transforms cutting-edge research into client value.

Tackle some of the most difficult AI engineering, scalability, and operational challenges in the industry.

Build AI capabilities that deliver meaningful business outcomes for clients.

Develop deep expertise in operating advanced AI systems at scale while collaborating with leaders across research, product, and engineering.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Apply About employer

More about this job

Responsibilities

You will lead the architecture, engineering, and operationalization of scalable AI systems while transforming research prototypes into production-ready capabilities. Additionally, you will mentor engineering teams and establish best practices for AI reliability, performance, and governance.

Requirements

Candidates must have over 10 years of experience in software or machine learning engineering with deep expertise in deploying large-scale AI systems. Proven success in leading complex technical initiatives and strong knowledge of MLOps, cloud infrastructure, and software architecture are required.

Skills

Artificial Intelligence
Machine Learning
Software Architecture
Large Language Models
MLOps
LLMOps
Cloud Technologies
System Scalability
Reliability Engineering
Observability
Agentic AI
Technical Leadership
Mentorship
Production Support
Governance
DevOps

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Principal AI Engineer
Large Language Models
LLMs
Agentic AI
MLOps
LLMOps
Software Architecture
Cloud Computing
Reliability Engineering
Observability
Production Engineering
Technical Leadership
Responsible AI
AI Governance
Inference Optimization
Orchestration Frameworks
Scalability
DevOps
Enterprise AI
Model Risk Management
System Monitoring
Incident Management
Capacity Planning
Mentorship
Operational Excellence
Foundation Models
Multi-agent Workflows
Vanguard

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