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AI ML Security Architect
LinkedIn Recruiter Post
Hiring an AI ML Security Architect in Toronto, ON. Role focuses on enterprise security architecture, ADRs, SARB submissions, and GenAI/Agentic systems.
About the role
- GenAI Developer at Stantec contributing to enterprise AI systems and architectural guidance. Collaborating with data scientists and engineers to deliver scalable, secure solutions.
Responsibilities
- Architect end-to-end GenAI solutions, including model lifecycle management, evaluation, deployment, and monitoring.
- Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
- Act as a technical advisor and reviewer, supporting architectural decisions, code reviews, and design trade-offs.
- Provide architectural guidance for production deployments using Azure-native services, Databricks, and Azure DevOps CI/CD pipelines, ensuring solutions align with enterprise standards.
- Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
- Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
- Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
- Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
- Guide implementation teams through design reviews, technical decision-making, and delivery of best practices.
- Document architectural patterns, methodologies, and lessons learned; contribute to internal knowledge bases and Communities of Practice.
- Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
- Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
Requirements
- Strong background designing and delivering modern cloud solutions, APIs, and data/AI platforms.
- Demonstrated experience with GenAI solution patterns
- Familiarity with security, privacy, and governance practices for enterprise AI solutions.
- Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
- Experience partnering across disciplines in agile delivery environments.
- Understanding application deployment, hosting, and scaling using the Azure App Service platform within Azure environments.
- Master’s degree or higher degree in Computer Science, Engineering, or related field (or an equivalent combination of education and experience).
- 7+ years of professional experience in architecture, software engineering, data engineering, or AI/ML solution delivery, with recent hands-on GenAI solution experience.
- Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry and Databricks Mosaic AI, would be highly valued.
Benefits
- Health, dental, and vision plans
- Wellness program
- Health care spending account
- Wellness spending account
- Group registered retirement savings plan
- Employee stock purchase program
- Group tax-free savings account
- Life and accidental death & dismemberment (AD&D) insurance
- Short-term/long-term disability plans
- Emergency travel benefits
- Tuition reimbursement
- Professional membership fee coverage
- Paid time off
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