Senior Manager - Senior Ai Architect
$103k - $190k per yearToast
Job DescriptionToast 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
#J-18808-Ljbffr
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
#J-18808-Ljbffr
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