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AI
Product Manager - Banking & Financial Services
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Added just now
QT
Product Manager(Banking domain background)
Q1 Technologies, Inc.
Toronto, ON
- $58 to $60 CAD / hour
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Added 15 mins ago
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- Full-time
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Added 15 mins ago
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- $55 to $60 CAD / hour
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Associate Product Manager
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Added 44 mins ago
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Added 1 hour ago
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Toast

Senior Manager - Senior Tech Lead – AI & Technology Transformation

Montreal, QC, Canada

$103,000 to $190,000 USD / year · Full-time

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Job details

Pay: $103,000 to $190,000 USD / year
Job type: Full-time
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Job Description

Toast is recruiting on behalf of one of Canada’s largest professional services firms, a global advisory, audit and tax organization with more than 10,000 people across the country. The firm’s advisory practice helps major Canadian organizations design and scale generative and agentic AI, with a growing focus on bringing AI agents into production across enterprise functions. This Montreal-based Senior Manager, Senior Tech Lead role blends consulting, delivery leadership and hands-on technical work, guiding clients from AI strategy through to secure, measurable solutions built on the Microsoft ecosystem.

Responsibilities

Lead agentic AI engagements, defining target architectures, delivery roadmaps and technology choices across Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph and Azure services
Translate client business needs into prioritized, measurable agentic use cases tied to strategic goals, operational processes, change management and expected value
Run executive, functional and technical workshops to scope opportunities, gather requirements, map user journeys and align stakeholders
Design and build AI agents end to end, from prototype to production, using Copilot Studio, Power Platform, Azure OpenAI, Python, APIs, orchestration, prompt engineering and system integration
Mentor a multidisciplinary team of developers, architects, data and ML engineers, business analysts and UX designers while holding a high bar for quality and documentation
Integrate agents into complex client environments across Finance, HR, Legal, Risk, Compliance, Operations and Customer Service, with a strong focus on security, permissions and data governance
Define reusable architecture patterns including multi-agent orchestration, human-in-the-loop workflows, RAG, knowledge bases, observability, evaluation, guardrails and escalation
Build a responsible AI governance framework covering ethics, privacy, security, compliance, risk, traceability, performance monitoring and the full agent lifecycle
Own day-to-day client relationships by clarifying priorities, flagging risks, reporting progress and keeping sponsors, IT teams and business users aligned
Support business development through opportunity qualification, proposals, effort estimates, delivery approaches, demos and accelerators
Stay hands-on by unblocking technical issues, reviewing deliverables, challenging solutions and making sure every agent delivers real business value

Requirements

7+ years delivering technology projects, with significant hands-on exposure to generative AI, intelligent automation or agentic AI in enterprise environments
Consulting firm or advisory services experience is mandatory, including managing clients, structuring engagements and delivering in complex, ambiguous settings
Strong practical expertise in the Microsoft agentic AI ecosystem, including Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph, Entra ID and related security principles
Hands-on skills in Python, REST APIs, system integration, cloud architecture, CI/CD, automated testing, observability, RAG, vector databases, prompt engineering and model evaluation
Proven track record shipping AI agent solutions from ideation and prototyping through deployment, support and continuous improvement in production
Degree in computer science, software engineering, data science or a related field, paired with strong business acumen
Experience leading and coaching multidisciplinary teams while staying close to execution and key technical decisions
Background in Agile and DevOps delivery, including sprint planning, backlog management, solution reviews and client demos
Ability to explain complex AI concepts clearly to executive, technical and non-technical audiences
Fluency in French and English, written and spoken, with the ability to produce consulting-grade documentation and presentations (English is required to serve clients and colleagues across Canada)

Benefits

Compensation listed on the posting is for base salary only. Total compensation includes base salary + annual bonuses.Comprehensive health, dental and wellness benefits, with flexible coverage options
Retirement savings support and paid time off that reflects senior-level seniority
Funded learning, certifications and a clear path toward director and partner-track leadership
Build AI agents that go live inside some of Canada’s largest organizations, shaping how Finance, HR, Legal and Risk teams work every day
Set the reusable architecture patterns and responsible AI standards that the firm will roll out across future client engagements
Lead a cross-functional team in one of the most in-demand areas of enterprise AI, with direct influence on how agentic AI gets adopted at scale in Canada
Application Review

Submit your application, including your resume and cover letter, through our online portal. Our team will carefully review your qualifications and experiences. We take pride in responding promptly, so if your application aligns with our current opportunities, you’ll hear back from us with next steps. Your journey with Toast begins here, and we’re excited to see what you bring to the table!

Vetting Call

If your application is successful, we’ll schedule a vetting call with a member of the Toast team. This 30-45 minute informal conversation is designed for us to get to know you better and assess your skills. Be prepared to discuss your past projects, the challenges you’ve tackled, and the impact you’ve made. This is your chance to shine and show us why you’re a great fit for the roles we offer.

Profile Creation

Once you’ve impressed us in the vetting call, we’ll create an unbiased profile that highlights your experience while minimizing common biases. Instead, we focus on your skills, industry experience, and the impact you’ve made. This way, your profile reflects your true potential and accomplishments.

Client Submission

After crafting your unbiased profile, we submit it to our trusted clients. We work closely with these clients to ensure they understand the value you bring. Throughout their interview process, we remain by your side, providing support and guidance. Our goal is to help you navigate the hiring process smoothly and confidently, ensuring you have the best chance to secure a role that fits your skills and aspirations.

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More about this job

Responsibilities

Lead client agentic AI engagements from strategy and architecture through production deployment, delivering secure, measurable solutions across enterprise functions. Guide multidisciplinary teams, establish reusable architecture and responsible AI governance, manage client relationships, and support business development while remaining hands-on with technical delivery.

Requirements

Requires 7+ years delivering technology projects, substantial enterprise generative or agentic AI experience, and mandatory consulting or advisory experience. Candidates need practical expertise in Microsoft’s AI ecosystem and related engineering practices, a relevant degree, team leadership experience, strong communication skills, and fluency in French and English.

Skills

Agentic AI
Generative AI
Microsoft Copilot Studio
Microsoft 365 Copilot
Azure AI Foundry
Azure OpenAI
Power Platform
Python
REST APIs
System Integration
Cloud Architecture
CI/CD
Retrieval-Augmented Generation
Prompt Engineering
Responsible AI Governance
Team Leadership

Benefits

Health Benefits
Dental Benefits
Wellness Benefits
Retirement Savings Support
Paid Time Off
Funded Learning
Certifications
Career Advancement Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Generative AI
Intelligent Automation
Copilot Studio
Microsoft 365 Copilot
Azure AI Foundry
Azure OpenAI
Power Platform
Dataverse
Microsoft Graph
Entra ID
Python
REST APIs
Cloud Architecture
CI/CD
Automated Testing
Observability
Retrieval-Augmented Generation
Vector Databases
Prompt Engineering
Model Evaluation
Multi-Agent Orchestration
Human-in-the-Loop Workflows
Data Governance
Responsible AI
Agile
DevOps
Enterprise AI
Consulting
Change Management

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