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Added 1 min ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
…we’re committed to creating an environment where you can grow, lead, and make a global…
Added 1 min ago
Junior Software Developer
Bullet Trade Services
Guelph, ON
Contract
As a Junior Software Developer & AI Lead, you will:
Added 31 mins ago
Automation Engineering Specialist (Red Hat)
CGI
Toronto, ON
Full-time
…enhance service quality, and reduce manual effort. Partner with engineering, operations, and client teams to build scalable, secure, and reliable automation capabilities that enable faster…
Added 47 mins ago
Principal Product Manager - Technical AI Solutions
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a seasoned Principal Product Manager (individual contributor) to lead RBC's AI-powered conversational banking experience. In this role, you will be responsible for leading…
Added 1 hour ago
Advanced Engineer
INNIO
Welland, ON
Communication and interpersonal skills required to lead effectively with engineering and interdepartmental teams
Added 1 hour ago
Staff Data Scientist - (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
As a Senior Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber…
Added 1 hour ago
Lead Cloud Applications Consultant
Open Text Corporation
Waterloo, ON
The OpenText Cloud Technical Success Services Team is seeking a Lead Cloud Applications Consultant to provide technical leadership for a portfolio of highly strategic OpenText Cloud…
Added 2 hours ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
AltaML is looking for a Manager, Software Engineering to lead a delivery pod where technical excellence and team health go hand in hand. You'll own the architectural integrity of your pod's…
Added 2 hours ago
Instrumentation Superintendent - Future Opportunities
Aecon
Calgary, AB · MB · Saskatoon, SK
Act as the construction lead for instrumentation scopes in coordination with Project Management, Engineering, Quality, and Project Controls teams.
Added 2 hours ago
Piping Superintendent - Future Opportunities
Aecon
Calgary, AB · MB · Saskatoon, SK
Act as the construction lead for piping scopes in coordination with Project Management, Quality, Engineering, and Project Controls teams.
Added 2 hours ago
Structural Superintendent - Future Opportunities
Aecon
Calgary, AB · MB · Saskatoon, SK
Act as the construction lead in collaboration with Project Management, Engineering, Quality, Labour Relations, and Project Controls teams.
Added 2 hours ago
Software Chief Engineer
Kepler Communications Inc.
Canada
Full-time
…we’re committed to creating an environment where you can grow, lead, and make a global…
Added 2 hours ago
Senior Software Engineer
AltaML
Toronto, ON
$130,000 to $150,000 CAD / year
Full-time
…by mentoring other engineers and by modeling what AI-first engineering actually looks like in…
Added 2 hours ago
Building Enclosure Engineer
BPA
Toronto, ON · Greater Toronto Area, Canada
Full-time
BPA is more than an engineering firm - it’s a passionate team shaping the buildings and infrastructure of tomorrow. With offices across Canada, our expertise in sustainable design and…
Added 3 hours ago
Maintenance Planner
The Magnum Ice Cream Company
Minto, ON
Full-time
Lead maintenance KPI reporting includes PM Compliance, Schedule Compliance, MTBF, MTTR, Backlog and Work Order Closure.
Added 3 hours ago
Director of Transformation
BCS Technology International Pty Ltd
Toronto, ON
Full-time
Build and lead cross-functional teams engineering, data, product, design structured for execution speed, not just headcount.
Added 3 hours ago
Senior Director, Head, SRE and Production Operations
Royal Bank of Canada
Toronto, ON
Full-time
As Head of SRE and Production Operations, you will lead the vision, design, development, implementation, and support of Site Reliability Engineering (SRE) solutions for all applications…
Added 3 hours ago
Director Engineering
Redwood Software
Canada
We are looking for a Director of Engineering – AI & Full-Stack SaaS to lead the engineering strategy and execution for a highly scalable, enterprise-grade SaaS platform.
Added 4 hours ago
Project Manager, Sales Enablement & Executive Customer Engagement
Husky Technologies
Bolton, ON
Full-time
At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Added 4 hours ago
Senior Manager, Organic Growth
Mistplay
Toronto, ON
$120,000 to $165,000 CAD / year
Full-time
…problems that do not yet have an obvious playbook. You will lead an internal team and external agency partners while working closely with performance marketing/UA, product, brand, and…
Added 5 hours ago
Senior Full Stack Developer – Java / Angular
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We are seeking a Senior Full Stack Developer with leadership skills to join a high-performing engineering team building modern, customer-facing web applications and resilient backend…
Added 5 hours ago
Senior Proposal Specialist
Zeidler Architecture
Calgary, AB
Full-time
…exceptional writing and coordination skills, and the ability to lead compelling submissions from opportunity through to final…
Added 5 hours ago
Senior Proposal Specialist
Zeidler Architecture
Toronto, ON
Full-time
…exceptional writing and coordination skills, and the ability to lead compelling submissions from opportunity through to final…
Added 5 hours ago
Salesforce Technical Lead
Capgemini
Montreal, QC
$120,000 to $130,000 CAD / year
The ideal candidate is a hands-on Salesforce Technical Lead who combines deep Financial Services Cloud expertise with strong leadership capabilities. This individual should be comfortable…
Added 5 hours ago
Salesforce Technical Lead
Capgemini
Toronto, ON
$120,000 to $130,000 CAD / year
Capgemini is seeking a highly skilled Salesforce Technical Lead with deep expertise in Salesforce Financial Services Cloud (FSC) to support a large-scale digital transformation initiative…

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

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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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