Director, AI Engineering
Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Oct 15, 2026.
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.
- 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
- 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