Agentic AI Manager

At KPMG, you will be part of a diverse and dedicated team of problem-solvers with a shared goal: turning information into opportunities for our clients and communities around the world.
 
We are looking for a strategic leader who is passionate about technical challenges to lead data-driven and AI-focused digital transformation projects, with a particular emphasis on the development and integration of agentic AI solutions.
 
The ideal candidate should have technical expertise in agentic AI, hands-on experience in planning, designing, developing, and implementing AI solutions, and strong skills in analysis, problem-solving, and communication.


Define and execute the vision for data, AI, and augmented productivity through Microsoft agentic solutions (Copilot Studio, Power Platform, Graph AI, and Azure Open AI) and agentic frameworks (such as LangChain, AutoGPT, CrewAI), aligning these initiatives with clients’ strategic goals and needs.
Oversee the large-scale deployment of AI agents into clients’ existing systems and internal departments (Finance, HR, Legal, Operations, etc.).
Prepare and lead requirement-gathering workshops and produce detailed documentation to ensure AI agents are aligned with business objectives.
Support the implementation of an AI usage framework focused on ethics, transparency, security, and regulatory compliance.
Develop a systemic vision to orchestrate multiple types of agents (HR, legal, operational) in complex environments.
Act as a digital innovation ambassador by promoting AI adoption.
Proactive in setting priorities and managing multiple deadlines.

At least 7 years of experience delivering AI projects, with hands-on expertise in developing generative AI and agentic AI technologies (including Copilot Studio and frameworks such as LangChain, AutoGPT, and CrewAI).
Proven track record of end-to-end delivery of AI agents, from prototyping to deployment and production operationalization.
Strong proficiency and demonstrated experience in advanced software development, including multiple programming languages (especially Python), cloud-native architecture, microservices, and CI/CD.
Technical background (e.g., computer science, software engineering) combined with a strong business acumen.
Experience leading multidisciplinary teams (developers, ML engineers, UX designers).
Experience delivering projects using agile methodologies (SCRUM, Kanban, DevOps).
A passion for technology and its potential to improve business processes, with strong skills in analysis, problem-solving, and organization.
Excellent consulting and communication skills, with the ability to simplify technical concepts and thrive in dynamic, collaborative, and team-oriented environments.
The selected candidate, while being primarly francophone, must demonstrate excellent communication and presentation skills in English, with the ability to present complex strategic topics to a diverse range of stakeholders located in English-speaking regions of Canada, such as Ontario.
 
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
 
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. 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.