Senior Manager - Senior AI Architect

Toast; Montreal; On-site; CAD 145,000 - 267,000; Full time

Benefits offered by this job

Health benefits

Retirement savings support

Paid time off

Flexible work arrangements

Learning budget

Path to Director/Partner

Executive exposure

Job summary

Toast is recruiting on behalf of a leading global professional services firm for a Senior Manager, Senior AI Architect based in Montreal. You will be the senior technical voice shaping end-to-end architectures that enable generative AI, intelligent agents and modern data platforms at scale, collaborating with executives and cross-functional teams.

You will lead multidisciplinary architects and engineers, define modernization roadmaps, ensure governance and security, and guide cloud-first

Qualifications

• 10+ years of experience in complex solution architecture, such as enterprise architecture, cloud, data, integration, digital platforms or technology modernization.
• Recent, significant experience with AI-native architectures, generative AI, data platforms or large-scale digital transformation.
• Proven track record as a subject matter expert on critical or strategic initiatives.
• Strong expertise designing modern data platforms, including lakehouse, data mesh, data products and data governance (quality, cataloguing, lineage, observability).
• Deep knowledge of integration patterns, including APIs, event-driven architecture, streaming, messaging, orchestration and agents.
• Experience with distributed, resilient, secure and highly available architectures.
• Deep expertise in at least one major cloud platform: Microsoft Azure, AWS or Google Cloud Platform.
• Strong understanding of cloud-first, hybrid and multi-cloud architectures.
• Hands-on experience with AI services, data engineering, MLOps/LLMOps, observability and cloud security.
• Experience with generative AI platforms, copilots, intelligent agents, orchestration tools and retrieval-augmented systems.
• Ability to balance a target-state vision with existing constraints, risk, cost, governance and delivery capacity.
• Excellent analytical and communication skills, with the ability to simplify complex architecture for non-technical audiences and influence executive decisions.
• Experience mentoring teams and upholding the architectural quality of deliverables.
• Written and spoken fluency in English, as the role serves English-speaking clients and colleagues across Canada.

Responsibilities

• Define and recommend end-to-end architectures for digital transformation, data and AI initiatives, aligned with each client’s enterprise architecture
• Design and lead secure, scalable AI-native architectures across cloud, hybrid and multi-platform environments
• Assess existing environments, including legacy systems, data platforms, cloud setups, AI/ML stacks and integration models
• Build pragmatic modernization roadmaps that fit business goals, technology constraints and each client’s ability to execute
• Define governed, scalable data architectures that support advanced analytics, generative AI and intelligent agents
• Design auditable architectures that account for performance, security, compliance, traceability, observability and governance
• Guide architectural decisions by weighing cost, scalability, resilience, performance, operability and time to value
• Design and oversee advanced integration patterns, including APIs, event-driven architectures, streaming, data mesh, orchestration, agents and intelligent workflows
• Act as a trusted advisor to executives, IT leaders, data and product teams, and business stakeholders
• Accelerate client adoption of generative AI, business copilots, autonomous agents and enterprise AI platforms
• Lead multidisciplinary teams of architects, engineers, data engineers, data scientists, and cloud, security and governance specialists
• Help evolve the firm’s offerings in AI, data architecture, cloud transformation, enterprise architecture and technology governance

Skills

AI architecture

Enterprise architecture

Data platforms

MLOps/LLMOps

Observability

Security

Governance

Executive collaboration

Tools

Azure

AWS

Google Cloud Platform

Job description

Job Description

Toast is recruiting on behalf of one of the world’s largest professional services firms for a Senior Manager, Senior AI Architect based in Montreal. With more than 10,000 people across Canada, this firm advises the country’s biggest organizations on audit, tax and advisory, and its Advisory practice is leading large-scale data, cloud and AI transformation work for strategic clients. In this role, you will be the senior technical voice on complex programs, shaping end-to-end architectures that help enterprises adopt generative AI, intelligent agents and modern data platforms securely and at scale.

Toast is recruiting on behalf of one of the world’s largest professional services firms for a Senior Manager, Senior AI Architect based in Montreal. With more than 10,000 people across Canada, this firm advises the country’s biggest organizations on audit, tax and advisory, and its Advisory practice is leading large-scale data, cloud and AI transformation work for strategic clients. In this role, you will be the senior technical voice on complex programs, shaping end-to-end architectures that help enterprises adopt generative AI, intelligent agents and modern data platforms securely and at scale.

Responsibilities

• Define and recommend end-to-end architectures for digital transformation, data and AI initiatives, aligned with each client’s enterprise architecture
• Design and lead secure, scalable AI-native architectures across cloud, hybrid and multi-platform environments
• Assess existing environments, including legacy systems, data platforms, cloud setups, AI/ML stacks and integration models
• Build pragmatic modernization roadmaps that fit business goals, technology constraints and each client’s ability to execute
• Define governed, scalable data architectures that support advanced analytics, generative AI and intelligent agents
• Design auditable architectures that account for performance, security, compliance, traceability, observability, explainability and governance
• Guide architectural decisions by weighing cost, scalability, resilience, performance, operability and time to value
• Design and oversee advanced integration patterns, including APIs, event-driven architectures, streaming, data mesh, orchestration, agents and intelligent workflows
• Act as a trusted advisor to executives, IT leaders, data and product teams, and business stakeholders
• Accelerate client adoption of generative AI, business copilots, autonomous agents and enterprise AI platforms
• Lead multidisciplinary teams of architects, engineers, data engineers, data scientists, and cloud, security and governance specialists
• Help evolve the firm’s offerings in AI, data architecture, cloud transformation, enterprise architecture and technology governance

Requirements

• 10+ years of experience in complex solution architecture, such as enterprise architecture, cloud, data, integration, digital platforms or technology modernization
• Recent, significant experience with AI-native architectures, generative AI, data platforms or large-scale digital transformation
• Proven track record as a subject matter expert on critical or strategic initiatives
• Strong expertise designing modern data platforms, including lakehouse, data mesh, data products and data governance (quality, cataloguing, lineage, observability)
• Deep knowledge of integration patterns, including APIs, event-driven architecture, streaming, messaging, orchestration and agents
• Experience with distributed, resilient, secure and highly available architectures
• Deep expertise in at least one major cloud platform: Microsoft Azure, AWS or Google Cloud Platform
• Strong understanding of cloud-first, hybrid and multi-cloud architectures
• Hands-on experience with AI services, data engineering, MLOps/LLMOps, observability and cloud security
• Experience with generative AI platforms, copilots, intelligent agents, orchestration tools and retrieval-augmented systems
• Ability to balance a target-state vision with existing constraints, risk, cost, governance and delivery capacity
• Excellent analytical and communication skills, with the ability to simplify complex architecture for non-technical audiences and influence executive decisions
• Experience mentoring teams and upholding the architectural quality of deliverables
• Written and spoken fluency in English, as the role serves English-speaking clients and colleagues across Canada

Nice to Haves

• Strong knowledge of the Microsoft ecosystem would be a plus, including Azure AI, Azure OpenAI, Microsoft Copilot, Copilot Studio, Microsoft Fabric, AI Foundry and Microsoft Purview
• Experience evaluating and recommending technologies across multiple vendors based on client context is considered an asset

Benefits

• Base salary of $103,000 to $190,000, plus an annual performance bonus
• Comprehensive flexible health, dental and wellness benefits, plus retirement savings support
• Paid time off, flexible work arrangements and personal days to support balance
• Dedicated learning budget and access to firm-wide AI and cloud training and certifications
• A clear path toward Director and Partner within one of the most established advisory practices in the country
• Direct influence on how some of Canada’s largest banks, governments and enterprises adopt generative AI and agentic systems, with your architecture decisions shaping platforms used by thousands of employees and millions of customers
• A seat at the executive table on strategic programs, leading multidisciplinary teams that turn AI strategy into systems running in production