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

Robust 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

📌 Senior Manager (Montreal)
🏢 Toast
📍 Montreal