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Added 4 hours ago
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Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
Partner with the Lead Applied AI Engineer on GenAI and agentic work. They design and build the Lab's LLM, document AI and agentic systems. You bring the data, lead evaluation design, and…
Added 4 hours ago
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Machine Learning Engineer, AI Processors
Qualcomm
Markham, ON
- Full-time
We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team, where you will help develop next-generation AI applications for Qualcomm Snapdragon…
Added 11 hours ago
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Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
…You will design, build, and operationalize enterprise-grade data and agentic AI solutions in Databricks and Azure Data Services. Your role spans the full solution lifecycle - assessing…
Added 11 hours ago
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Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
…You will design, build, and operationalize enterprise-grade data and agentic AI solutions on the Snowflake AI Data Cloud. Your role spans the full solution lifecycle of Snowflake-native…
Added 17 hours ago
Senior Applied AI Engineer - Artificial Intelligence
Bloomberg
Toronto, ON
…work on financial query understanding, code generation and agentic systems over structured data. They bridge the gap between pioneering research and production, building models and agents…
Added 1 day ago
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Senior Principal AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 1 day ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
…containerization, orchestration, scaling and observability. Engineer reliability into production systems through circuit breakers, graceful degradation, rollback and zero-downtime…
Added 1 day ago
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Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
…containerization, orchestration, scaling and observability. Engineer reliability into production systems through circuit breakers, graceful degradation, rollback and zero-downtime…
Added 1 day ago
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Principal AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Canada IT – Platforms and Engineering Domain is looking for a Principal AI Engineer with at least 10 years of engineering experience. This role will be instrumental in driving innovation,…
Added 1 day ago
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Senior Principal AI Engineer
RBC
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 1 day ago
SF
Senior Software Engineer, AI Product Engineering
Safe Fleet
Coquitlam, BC
- Full-time
…ground-breaking technology, and a 100-year history of fleet know-how and innovation to solve the world’s biggest fleet safety…
Added 1 day ago
SF
Senior Software Engineer, AI Product Engineering
Safe Fleet
Coquitlam, BC
- Full-time
…ground-breaking technology, and a 100-year history of fleet know-how and innovation to solve the world’s biggest fleet safety…
Added 4 days ago
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Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 days ago
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Cloud Software Engineer
Actalent
Ottawa, ON
- $61 to $70 CAD / hour
- Contract
…information, engineering artifacts, manufacturing evidence, service data, and software lifecycle signals to provide actionable diagnostic and software-health insights. You will work within…
Added 4 days ago
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Lead Agentic AI Engineer
RBC
Toronto, ON
- Full-time
8–10 years total engineering experience - with 2–3+ years specifically building agentic or LLM systems (not just prototypes)
Added 4 days ago
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Director, AI Engineering
KPMG
ON · Toronto, Ontario
- Full-time
Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in Banking and Capital Markets consulting
Added 4 days ago
KC
Director, AI Engineering
KPMG Canada
Toronto, ON
- Full-time
Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in Banking and Capital Markets consulting
Added 5 days ago
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Principal AI Software Engineer
Mphasis
Toronto, ON
- Full-time
Integrate AI applications with enterprise systems, data sources, APIs, and business workflows.
Added 5 days ago
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AI Software Engineer
TrustFlight
Vancouver, BC
- Full-time
You will join TrustFlight as an AI Software Engineer and serve as a core member of the AI Team. In this role, you will work closely within the team and cross-functionally across the…
Added 6 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Toronto - a bold initiative building the AI-powered future of financial analysis. We're not…
Added 8 days ago
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Principal Machine Learning Developer
Cisco
AB · Calgary, Alberta
- Full-time
As a Principal Machine Learning Engineer Developer you will define how AI, LLMs, and autonomous operations transform network and security management across Cisco’s wireless, wired, cloud,…
Added 8 days ago
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AI Software Engineer
Snowflake
Remote, Canada
- $176,300 to $226,300 CAD / year
- Full-time
- Remote
We're looking for a Software Engineer - AI to join our growing Toronto engineering team. You'll design, build, and ship AI-powered systems and services that are used by thousands of…
Added 11 days ago
Senior Software Engineer - Agentic AI security - 2 positions
Tigera
Vancouver, BC
You will be joining a team that is highly engineering-focused with a culture that values diversity, collaboration, agility, and innovation, keeping us one step ahead in the exciting and…
Added 11 days ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
You will design how agentic systems are built end-to-end, from architecture and integration with existing services through to reliability, observability, and long-term operation. You will…
Added 13 days ago
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Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…

KPMG

Director, AI Engineering

ON, Canada
UNAVAILABLE, Toronto, ON, M5H 2S5, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 15, 2027
Posting language: English
Posted: Oct 15, 2026

Original job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our Banking & Capital Markets team in Toronto is looking for a professional like you with the skills and drive to make a real difference.

What you will do

Lead end-to-end AI solution development or transformation programs using cloud AI services, enhancing customer experience, operational efficiency, and decision-making across various industries
Act as a trusted advisor to senior and C-level client stakeholders, shaping AI strategies and roadmaps while positioning KPMG’s AI solutions as strategic enablers of business objectives
Oversee the design, architecture, and delivery of multi-agent GenAI systems, advanced Retrieval-Augmented Generation (RAG) architectures, and multimodal solutions, ensuring seamless integration, quality, scalability, and security within enterprise workflows
Advise clients on AI Risk Management, Governance, and Security, ensuring GenAI deployments comply with emerging regulatory frameworks and enterprise security standards (e.g., implementing guardrails and defending against LLM vulnerabilities)
Drive business development to expand KPMG’s AI portfolio by identifying market opportunities, developing proposals, and securing new client engagements, while fostering strategic alliances
Manage and mentor cross-functional teams, promoting a high-performance culture, technical excellence, and career development, ensuring the team stays at the forefront of AI and cloud engineering technology advancements
Work closely with our Microsoft, Google, Salesforce, and other related platform teams to develop our AI capabilities and offerings within the relevant ecosystems
Set a clear strategic vision for AI strategy and engineering offerings, staying updated on the latest AI advancements (including frontier vs. open-weight models) and innovations, fostering a culture of innovation, and ensuring alignment with KPMG’s digital strategy
Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment

What you bring to the role

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in Banking and Capital Markets consulting
AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor’s degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud’s AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems, integrating complex RAG pipelines, and connecting GenAI to proprietary enterprise data (Knowledge Graphs, Vector Databases) that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), and demonstrating a strong grasp of model-agnostic architectures leveraging both proprietary and open-weight foundational models for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational and autonomous AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, GenAIOps/LLMOps (including LLM evaluation frameworks, prompt versioning, routing, and cost optimization), AI governance, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices

Providing you with the support you need to be at your best

Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

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More about this job

Responsibilities

Lead end-to-end AI solution development and transformation programs while acting as a trusted advisor to senior client stakeholders. Oversee the architecture of multi-agent GenAI systems and drive business development to expand the firm's AI portfolio.

Requirements

Requires a minimum of eight years of experience in AI, machine learning, and cloud technology within a consulting environment. Candidates must hold at least a Bachelor's degree in a relevant field, with a preference for advanced degrees.

Skills

AI Strategy
GenAI
RAG Architectures
Cloud Engineering
Multi-agent Systems
AI Governance
MLOps
Business Development
Team Leadership
Consulting
Data Analytics
LLMOps
Stakeholder Management
Enterprise Architecture
Risk Management

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
GenAI
RAG
Cloud Computing
Microsoft Azure
AWS
Google Cloud
Vertex AI
Bedrock
Foundry
Knowledge Graphs
Vector Databases
LLMOps
GenAIOps
AI Governance
Banking
Capital Markets
Consulting
Strategy
Architecture
Automation
Conversational AI
CRM
ERP
Data Science
Computer Science
Engineering
Leadership
Business Development

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