Senior Manager - Senior Tech Lead – AI & Technology Transformation
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Key skills for this role
About the Role
KPMG Canada is seeking an Agentic AI Tech Lead to act as a consultant, delivery leader, and hands-on technical contributor for designing and implementing generative and agentic AI solutions.
Key Skills for This Role
Responsibilities
- Act as a Tech Lead on agentic AI engagements, defining target architectures, delivery roadmaps, and technology choices across the Microsoft ecosystem
- Translate client business needs into concrete, prioritized, and measurable agentic use cases
- Lead executive, functional, and technical workshops to scope opportunities, gather requirements, define user journeys, 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
- Mentor and develop a multidisciplinary team of developers, architects, data/ML engineers, business analysts, and UX designers
- Lead the integration of agents into complex client environments, including Finance, HR, Legal, Risk, Compliance, Operations, and Customer Service functions
- 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
- Contribute to business development and advisory activities, including opportunity qualification, proposal development, effort estimation, delivery approach definition, and presenting demos or accelerators
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
- Mandatory experience in a consulting firm or advisory services environment
- 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)
- Demonstrated ability to lead, coach, and mobilize multidisciplinary teams
- Experience with Agile and DevOps delivery models
- Strong consulting, communication, and client management skills
- Excellent written and verbal communication skills in both French and English
Full Job Posting
Overview
- At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges.
- 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.
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.
- Translate client business needs into concrete, prioritized, and measurable agentic use cases.
- 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.
- Lead the integration of agents into complex client environments, including Finance, HR, Legal, Risk, Compliance, Operations, and Customer Service functions.
- 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.
- 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.
- 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).
- Demonstrated ability to lead, coach, and mobilize multidisciplinary teams.
- Experience with Agile and DevOps delivery models.
- Strong consulting, communication, and client management skills.
- Excellent written and verbal communication skills in both French and English.
Additional Information
- This position requires written and oral fluency in English.
- KPMG in Canada is a proud equal opportunities employer.
- We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes.
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