KPMG

Global audit, tax, and advisory services

Agentic AI Tech Lead - AI & Technology Transformation

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeMontreal, QC, CanadaNo salary listedIn-person

About the Job

Requirements

A minimum of 7 years of experience delivering technology projects, including significant exposure to generative AI, intelligent automation, or agentic AI, with hands-on experience in enterprise environments.
Experience in a consulting firm or advisory services environment, with demonstrated ability to manage clients, structure engagements, influence stakeholders, and deliver in complex and ambiguous contexts.
Practical expertise with the Microsoft agentic AI ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph, connectors, Entra ID, and related security principles.
Hands-on experience in solution design and development, including Python, REST APIs, system integration, cloud architecture, CI/CD, automated testing, observability, retrieval-augmented generation (RAG), vector databases, prompt engineering, and model evaluation.
A track record of delivering end-to-end AI agent solutions, from ideation and prototyping through deployment, operationalization, support, and continuous improvement in production environments.
Relevant technical education in computer science, software engineering, data science, or a related field, combined with business acumen and the ability to communicate complex concepts clearly.
Ability to lead, coach, and mobilize multidisciplinary teams while remaining close to execution and contributing directly to key technical decisions and deliverables.
Experience with Agile and DevOps delivery models, including sprint planning, backlog management, solution reviews, client demos, dependency management, and continuous improvement practices.
Consulting, communication, and client management skills, including the ability to present complex AI concepts to non-technical, executive, and technical audiences.
Written and verbal fluency in French and English, including the ability to produce clear documentation, actionable recommendations, and consulting-grade presentations.
Written and oral fluency in English is required to interpret and apply English standards, guidance, laws, and regulations; serve English-speaking clients across Canada; and collaborate with English-speaking colleagues outside Quebec.

Responsibilities

Act as a Tech Lead on agentic AI engagements by defining target architectures, delivery roadmaps, and technology choices across the Microsoft ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph, connectors, and Azure services.
Translate client business needs into concrete, prioritized, and measurable agentic use cases by linking strategic objectives, operational processes, change management considerations, and expected value.
Lead executive, functional, and technical workshops to scope opportunities, gather requirements, define user journeys, document decisions, and secure stakeholder alignment.
Design and develop end-to-end AI agents from prototype to production, working hands-on with Copilot Studio, Power Platform, Azure OpenAI, Python, APIs, orchestration, prompt engineering, testing, and integration with existing systems.
Mentor and develop a multidisciplinary team of developers, architects, data and machine-learning engineers, business analysts, and user experience designers, while maintaining standards for quality, documentation, and delivery.
Lead agent integration into complex client environments, including Finance, HR, Legal, Risk, Compliance, Operations, and Customer Service functions, with a focus on security, permissions, and data governance.
Define reusable agentic architecture patterns, including specialized agents, multi-agent orchestration, human-in-the-loop workflows, knowledge bases, RAG, connectors, observability, evaluation, guardrails, and escalation mechanisms.
Establish a responsible AI governance framework covering ethics, privacy, security, compliance, risk management, traceability, performance monitoring, and the agent lifecycle.
Manage day-to-day client relationships by clarifying priorities, anticipating risks, communicating progress, facilitating decision-making, and maintaining trust with sponsors, IT teams, and business users.
Contribute to business development and advisory activities, including opportunity qualification, proposal development, effort estimation, delivery approach definition, and presenting demos or accelerators.
Resolve technical blockers, review deliverables, challenge solutions, support teams in execution, and ensure agents deliver tangible business value while remaining hands-on and pragmatic.

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.

We are currently seeking an Agentic AI Tech Lead who will act as a consultant, delivery leader, and hands-on technical contributor, supporting our clients in the design, integration, and industrialization of generative and agentic AI solutions.

The successful candidate will combine significant consulting experience, a strong understanding of business challenges, and hands-on expertise with Microsoft agentic AI tools. They will guide clients, mentor teams, and deliver robust, secure, and measurable solutions.

What you will do

Act as a Tech Lead on agentic AI engagements, defining target architectures, delivery roadmaps, and technology choices across the Microsoft ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph, connectors, and Azure services.
Translate client business needs into concrete, prioritized, and measurable agentic use cases by linking strategic objectives, operational processes, change management considerations, and expected value.
Lead executive, functional, and technical workshops to scope opportunities, gather requirements, define user journeys, document decisions, and secure stakeholder alignment.
Design and develop end-to-end AI agents, from prototype to production, working hands-on with Copilot Studio, Power Platform, Azure OpenAI, Python, APIs, orchestration, prompt engineering, testing, and integration with existing systems.
Mentor and develop a multidisciplinary team of developers, architects, data/ML engineers, business analysts, and UX designers, while maintaining high standards of quality, documentation, and delivery.
Lead the integration of agents into complex client environments, including Finance, HR, Legal, Risk, Compliance, Operations, and Customer Service functions, with a strong focus on security, permissions, and data governance.
Define reusable agentic architecture patterns, including specialized agents, multi-agent orchestration, human-in-the-loop workflows, knowledge bases, RAG, connectors, observability, evaluation, guardrails, and escalation mechanisms.
Establish a responsible AI governance framework covering ethics, privacy, security, compliance, risk management, traceability, performance monitoring, and the agent lifecycle.
Manage day-to-day client relationships by clarifying priorities, anticipating risks, communicating progress, facilitating decision-making, and maintaining trust with sponsors, IT teams, and business users.
Contribute to business development and advisory activities, including opportunity qualification, proposal development, effort estimation, delivery approach definition, and presenting demos or accelerators.
Remain hands-on and pragmatic by resolving technical blockers, reviewing deliverables, challenging solutions, supporting teams in execution, and ensuring agents deliver tangible business value.

What you bring to the role

A minimum of 7 years of experience delivering technology projects, including significant exposure to generative AI, intelligent automation, or agentic AI, with hands-on experience in enterprise environments.
Mandatory experience in a consulting firm or advisory services environment, with demonstrated ability to manage clients, structure engagements, influence stakeholders, and deliver in complex and ambiguous contexts.
Strong practical expertise with the Microsoft agentic AI ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph, connectors, Entra ID, and related security principles.
Hands-on experience in solution design and development, including Python, REST APIs, system integration, cloud architecture, CI/CD, automated testing, observability, RAG, vector databases, prompt engineering, and model evaluation.
Proven track record of delivering end-to-end AI agent solutions, from ideation and prototyping through deployment, operationalization, support, and continuous improvement in production environments.
Relevant technical education (computer science, software engineering, data science, or a related field), combined with strong business acumen and the ability to communicate complex concepts clearly.
Demonstrated ability to lead, coach, and mobilize multidisciplinary teams, while remaining close to execution and capable of directly contributing to key technical decisions and deliverables.
Experience with Agile and DevOps delivery models, including sprint planning, backlog management, solution reviews, client demos, dependency management, and continuous improvement practices.
Strong consulting, communication, and client management skills, with the ability to present complex AI concepts to non-technical, executive, and technical audiences.
Excellent written and verbal communication skills in both French and English, with the ability to produce clear documentation, actionable recommendations, and high-quality, consulting-grade presentations.

This position requires written and oral fluency in English because it involves interpretation and application of English standards, guidance, laws and regulations, servicing of English-speaking clients located across Canada and collaboration with English Speaking colleagues located outside of Quebec.

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.

About the Company

KPMG

Global audit, tax, and advisory services

KPMG is a global network of independent professional firms that provide Audit, Tax, and Advisory services. Its work involves helping organizations verify financial information, manage tax obligations, and solve business problems through advisory support, risk management, and performance improvement. Services are delivered by cross-border teams across a worldwide network, with an emphasis on consistency and collaboration among member firms. KPMG distinguishes itself through its history as a series of international mergers that created a large, integrated firm with a shared global standard and brand, rather than a single locally owned entity. Its goal is to help clients navigate complex regulations, improve performance, and achieve sustainable growth across multiple markets.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: London, United Kingdom
Founded: 1987

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