Job DescriptionToast is recruiting on behalf of one of the largest professional services firms in Canada, a global audit, tax and advisory organization with more than 10,000 people across the country. Their AI Engineering team turns emerging AI capabilities into secure, scalable, production-ready applications and platforms used across the firm. As Enterprise Architect, AI Engineering (Security and Compliance), you will lead architecture across the team’s technology portfolio with a focus on security, compliance, risk and production readiness. You will be the key link between AI Engineering and the firm’s broader architecture, security and technology groups, guiding solutions safely into production. This is a full-time role based in Toronto.ResponsibilitiesAuthor and maintain high-level architecture documentation and Technical Architecture Documents covering application, data, integration, cloud infrastructure, network, identity, security, deployment and operationsEnsure new solutions and material changes align with enterprise architecture, cloud, security, data and technology standardsLead security architecture and production-readiness reviews, identifying required controls, risks and remediation, and coordinating approvals to move solutions into productionGovern vulnerabilities and security findings across applications, infrastructure, containers, dependencies and cloud environments, driving remediation and coordinating mitigating controls, exceptions or risk acceptanceReview significant application, infrastructure, network, platform and AI-related changes for architecture, security and compliance impactBuild and evolve reusable architecture patterns, security controls and guardrails so teams can deliver securely and consistentlyReview, select and govern SDLC tooling, including source control, CI/CD, infrastructure-as-code, security scanning, artifact management and deployment toolingAct as the primary compliance and control reviewer for AI Engineering, maintaining evidence and supporting internal reviews, external assessments,



certifications and auditsPartner with engineering, DevOps/SRE, platform and product teams to embed secure-by-design practices across identity, least privilege, network security, secrets management, logging, monitoring and data protectionAssess the security and architecture implications of AI technologies, including models, agents, enterprise data integrations, AI platforms, content-safety controls and third-party servicesTrack key architecture decisions, risks, exceptions and remediation commitments, and communicate material issues to AI Engineering leadership and enterprise stakeholdersStay current on cloud, cybersecurity, AI security, enterprise architecture and regulatory developments and translate them into practical standards and controlsRequirementsUniversity degree in computer science, engineering, cybersecurity, information systems or a related disciplineSignificant experience in enterprise, solution, cloud or security architecture within complex enterprise environmentsStrong experience designing and reviewing production-grade cloud applications and platforms across applications, APIs, data, infrastructure, identity, networking, security and operationsDeep knowledge of cloud security and secure-by-design principles, including identity and access management, least privilege, network security, encryption, secrets management, logging, monitoring and vulnerability managementExperience with Microsoft Azure and cloud-native architecture; hands-on experience with Azure networking, Entra ID, Key Vault, Application Gateway/WAF, Azure Front Door, Azure Container Apps or Kubernetes, Azure Monitor,



Defender for Cloud and Sentinel would be a plusStrong understanding of modern DevSecOps and SDLC tooling, including source control, CI/CD, infrastructure-as-code, software composition analysis, SAST, container and image scanning and artifact managementExperience with GitHub, Terraform, containers and automated deployment pipelines, plus the ability to assess new tooling for architecture, security and enterprise readinessStrong understanding of security and compliance frameworks such as NIST-based controls, ISO standards, secure SDLC practices and enterprise technology risk managementExperience supporting architecture, cybersecurity, risk, compliance and audit reviews and producing the documentation and evidence that demonstrates control effectivenessExperience assessing vulnerabilities, determining risk, identifying mitigating controls and working through risk-acceptance and exception processesFamiliarity with security considerations for generative AI and agentic systems, including enterprise data access, identity, model and service integrations, content safety and governanceAbility to translate complex technical and security topics into explicit decisions, risks and recommendations for technical teams and senior stakeholdersStrong collaboration, organizational and written communication skills, with the ability to drive work across multiple enterprise groupsBenefitsCompensation listed on the posting is for base salary. Total compensation includes base salary + annual bonuses.A comprehensive and competitive total rewards programSet the security and compliance standards that decide how AI moves into production at one of Canada’s largest professional services firmsOwn the architecture behind AI tools used by thousands of professionals and the clients they serveShape the guardrails, patterns and tooling every AI Engineering team builds on, so your decisions scale across the whole portfolioWork at the front edge of AI security, from agentic systems to enterprise data integrations, in a firm building toward a technology-first future#J-18808-Ljbffr

📌 Enterprise Architect, Ai Engineering – Security & Compliance (Toronto)
🏢 Toast
📍 Toronto