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Added 4 hours ago
R
Mail Insert Operator
REPAY
Mississauga, ON
- Full-time
Works with Senior Machine Operators and the Lead Operator while learning the makeup, operating procedures and safety procedures
Added 5 hours ago
X
Software Developer - Frontend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will help build out the pennylane.ai ecosystem of products. The goal of pennylane.ai is to help pioneer quantum software development as a discipline and spread…
Added 5 hours ago
X
Quantum Scientist - Compilation
Xanadu
Toronto, ON
- Full-time
Expertise in quantum algorithms, especially for quantum chemistry and quantum machine learning.
Added 5 hours ago
X
Software Developer - Backend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will help build out the pennylane.ai ecosystem of products. The goal of pennylane.ai is to help pioneer quantum software development as a discipline and spread…
Added 5 hours ago
X
Quantum Scientist - Finance
Xanadu
Toronto, ON
- Full-time
…algorithms for partial differential equations (PDEs), quantum machine learning, and statistical estimation, and the question of where they can beat the classical methods banks and asset…
Added 5 hours ago
X
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
- Full-time
As a Senior Software Developer on our AI team, you will be a hands-on individual contributor who sets the technical bar for the internal AI research platform that accelerates Xanadu's R&D.…
Added 5 hours ago
X
Sr. Technical Engagement Manager, Algorithms and Applications
Xanadu
Toronto, ON
- Full-time
Familiarity with quantum computing, quantum algorithms, or adjacent computational science domains (e.g., optimization, simulation, machine learning).
Added 5 hours ago
X
Senior Data Scientist – Decision Intelligence
Xanadu
Toronto, ON
- Full-time
BSc. in Physics, Mathematics, Computer Science, Data Science, AI, Machine Learning or a related quantitative field.
Added 10 hours ago
AS
AI Developer
AgileGrid Solutions
Canada
- Full-time
We're seeking a highly skilled and innovative Senior AI Developer to join our expanding team at Intact Financial. This role offers an exciting opportunity to contribute to cutting-edge AI…
Added 10 hours ago
SC
Senior Analytics Engineer
Securian Canada
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Develop analytical foundations that support advanced analytics, machine learning, and emerging AI capabilities.
Added 10 hours ago
SC
Director, Analytics & Insights
Securian Canada
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
Identify practical opportunities where advanced analytics, machine learning, predictive modeling, and AI can create measurable business value.
Added 10 hours ago
SC
Director, Analytics & Insights
Securian Canada
Waterloo, ON
- $130,000 to $170,000 CAD / year
- Full-time
Identify practical opportunities where advanced analytics, machine learning, predictive modeling, and AI can create measurable business value.
Added 10 hours ago
SC
Senior Analytics Engineer
Securian Canada
Waterloo, ON
- $100,000 to $130,000 CAD / year
- Full-time
Develop analytical foundations that support advanced analytics, machine learning, and emerging AI capabilities.
Added 14 hours ago
ET
Sr. Embedded DSP Engineer
ESS Technology, Inc.
Kelowna, BC
- Full-time
Experience with AI or machine-learning based audio algorithms is highly desirable, including noise reduction, echo cancellation, wake-word detection, voice enhancement, source separation,…
Added 18 hours ago
K
Senior Manager - Senior Tech Lead – AI & Technology Transformation
KPMG
Montreal, QC
- Full-time
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…
Added 20 hours ago
Technical Publications Manager
Tigercat | MacDonald Steel
Brantford, ON
Use data, performance metrics, and stakeholder feedback to drive continuous improvement initiatives and provide recommendations and updates to senior leadership.
Added 1 day ago
ES
Senior Product Manager | Applied AI
EPAM Systems
Canada
- Full-time
…AI-powered features - not the ability to build, train or tune machine-learning models as an ML engineer or data scientist…
Added 1 day ago
A
Management Consulting Senior Analyst (CPA Candidate)
Accenture
Ottawa, ON · Toronto, ON
- Full-time
Interest in AI, machine learning, and intelligent automation applications within finance and accounting.
Added 1 day ago
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Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…operates and delivers value. You will leverage deep expertise in machine learning systems, generative AI, MLOps , and platform architecture to shape company-wide technical strategy and…
Added 1 day ago
CG
Manager, Risk Modelling
Canada Guaranty
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Effectively communicate findings and insights to Executives and senior management in a concise and easy-to-understand way.
Added 1 day ago
MC
Principal Banking Cloud Architect | Client Partner | Technology Consulting (35568)
Myticas Consulting
Toronto, ON
- Full-time
…relationship skills. You will serve as a trusted advisor to senior banking executives, helping shape technology strategy while expanding long-term client…
Added 1 day ago
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Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
The AI Model Serving team is the engine behind every production Workday agent and machine learning use case. We own the services that power all production AI workloads, serving as the…
Added 1 day ago
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Senior Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Join a purpose‑driven team at the core of BMO’s risk management ecosystem. As the Senior Manager, Credit Risk Strategy Oversight, you will provide independent, forward‑looking challenge on…
Added 1 day ago
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Manager / Senior Manager, AI Model Risk Governance, Standards & Enablement
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Establish governance requirements and risk management expectations for machine learning, Generative AI, foundation models, retrieval-augmented generation (RAG), and Agentic AI solutions.
Added 1 day ago
AM
IOHUB Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…interconnect IP for AMD products, including discrete GPUs, machine learning products, APUs, servers, and game consoles. The global NBIO organization operates seamlessly across China, North…

KPMG

Senior Manager - Senior Tech Lead – AI & Technology Transformation

UNAVAILABLE, Montreal, QC, H3A 0A3, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 8, 2027
Posting language: English
Posted: Jun 30, 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.

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.

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More about this job

Responsibilities

The Senior Manager will lead the design, integration, and industrialization of generative and agentic AI solutions for clients. They will act as a technical lead, mentoring multidisciplinary teams and managing client relationships to ensure the delivery of robust, secure, and measurable AI systems.

Requirements

Candidates must have at least 7 years of experience in technology projects with significant exposure to generative or agentic AI in a consulting environment. Strong practical expertise in the Microsoft AI ecosystem and a proven track record of end-to-end AI solution delivery are mandatory.

Skills

Agentic AI
Generative AI
Microsoft Copilot Studio
Azure OpenAI
Python
Solution Architecture
Consulting
Stakeholder Management
Project Management
Data Governance
Prompt Engineering
System Integration
Agile
DevOps
Team Leadership
Cloud Architecture

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Generative AI
Microsoft 365 Copilot
Azure AI Foundry
Azure OpenAI
Power Platform
Dataverse
Microsoft Graph
Python
REST APIs
CI/CD
RAG
Vector Databases
Prompt Engineering
Agile
DevOps
Consulting
Governance
Architecture
Machine Learning
Data Engineering
UX Design
Security
Compliance
Risk Management
Observability
Automation
Strategy
Stakeholder Management
Technical Leadership

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