AI Solution Architect

The Canada Life Assurance Company • Toronto, ON

1d • CA$119,300 - CA$169,300 • Hybrid

About The Position

Design secure, scalable and governed AI solutions for Canada Life. Translate business requirements into end-to-end solution architectures and provide architecture leadership through delivery. Ensure solutions align with enterprise architecture standards, security requirements, operational objectives and AI governance principles.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline.
• 7+ years of experience in solution architecture, software engineering, application architecture, data engineering, cloud engineering or related technology disciplines.
• 3+ years designing and delivering AI, machine learning, generative AI, intelligent automation or advanced analytics solutions.
• Experience creating architecture artefacts, solution blueprints, technical specifications, ADRs and architecture diagrams.
• Experience working in large, complex and regulated environments, preferably financial services or insurance.
• Strong knowledge of cloud architecture, application architecture, API design, integration patterns, security architecture and data architecture.
• Knowledge of Azure AI Foundry Services and Azure AI Foundry architecture patterns.
• Experience with Azure OpenAI, Azure Machine Learning, Databricks, AWS Bedrock and modern AI engineering platforms.
• Experience with AI observability, model evaluation, vector databases, enterprise search and knowledge management solutions.
• Hands-on experience with Python, AI frameworks, agent orchestration frameworks and RAG implementation patterns.
• Architecture, cloud, security or data certifications such as TOGAF or Microsoft Azure certifications.

Responsibilities

• Own architecture and solution design quality for AI initiatives from concept through production deployment.
• Create candidate architectures, end-to-end solution sketches and target-state solution designs.
• Produce architecture deliverables including system context, logical architecture, physical architecture, security, sequence and data flow diagrams, integration specifications and ADRs.
• Define non-functional requirements for security, privacy, resiliency, scalability, observability, performance, maintainability, supportability and cost efficiency.
• Ensure delivered solutions align with approved architecture, enterprise standards, operational requirements and AI governance controls.
• Support architecture reviews, governance forums, design walkthroughs and production readiness assessments.
• Design reusable architecture patterns and reference architectures for generative AI, agentic AI, RAG, intelligent automation, machine learning and knowledge management solutions.
• Design application, integration, data, deployment and security architectures for AI platforms and AI-enabled business solutions.
• Define architecture standards, design principles, approved technology patterns and implementation guidance for AI engineering teams.
• Establish architecture guardrails for security, privacy, responsible AI, monitoring, auditability, compliance and operational support.
• Evaluate emerging AI technologies, platforms, frameworks and architecture approaches for enterprise adoption.
• Lead proof of concept and proof of value initiatives for new tools, platforms, AI services and emerging technologies.
• Validate technical feasibility, business value, security considerations, operational readiness, support models and integration requirements.
• Produce architecture recommendations, adoption guidance and target-state architecture based on proof of concept outcomes.
• Contribute to the continuous improvement of Canada Life AI architecture standards, reference architectures and engineering practices.
• Partner with AI Engineering, Data Engineering, Enterprise Architecture, Security, Risk, Privacy, Platform Engineering and Product teams.
• Communicate architecture decisions, design trade-offs and technology recommendations to technical and business stakeholders.
• Escalate architecturally significant decisions, risks, standards gaps and exception requests through architecture governance processes.
• Mentor engineers and solution designers on architecture practices, documentation standards and AI solution design patterns.

Benefits

• Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
• Health & Wellness: Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
• Time Off: In addition to regular vacation and personal days, we support community involvement with a volunteer day.
• Financial Security: Company-matching pension plan, share ownership program and additional investment options.
• Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
• Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior