Senior AI & Data Architect
Tasks
- Build RAG patterns embeddings evaluation and prompt management
- Build secure data ingestion storage cataloging governance and access controls
- Conduct user discovery map workflows improve time to first model and agent
- Create training evaluation model registry approval pipelines and rollback
- Define platform outcomes and metrics
- Deploy MLOps with Amazon SageMaker
- Deploy and operationalize Amazon Bedrock
- Design secure reference architectures
- Ensure platform reliability SLOs incident management change control
- Generate audit ready artifacts runbooks evidence packages
- Implement guardrails logging governance cost controls
- Implement inference batch and real time architectures
- Implement least privilege data access
- Lead Bedrock agentic workflows orchestration tools integration
- Operate within secure landing zone constraints encryption identity logging
- Own AI and data platform roadmap
- Partner with security architecture and program engineering teams
- Set up model monitoring drift bias performance retraining triggers
Perks/Benefits
- 24 7 virtual health care services
- Access to Financial Advisors
- Comprehensive medical, dental and vision coverage
- Defined Contribution Pension Plan employer contributions
- Educational assistance program
- Emergency medical travel insurance
- Employee and family assistance program
- Employee discounts on travel home and auto insurance
- Employee resource groups
- Employee social clubs and recreational activities
- Flexible benefits HCSA
- Flexible time away with vacation holidays parental leaves top up
- Free onsite parking
- Learning platform access
- Onsite fitness facilities
- RRSP access from day one
- Reimbursement for professional memberships and dues
- Sick leave and disability programs
Skills/Tech-stack
AWS Lambda | Amazon Bedrock | Amazon SageMaker | Amazon Web Services | Bedrock AgentCore | CI/CD | Centralized Logging | Data Catalog | Data Governance | Data Lineage | Embeddings | Encryption | Feature Store | Guardrails | IAM | Infrastructure as Code | KMS | MLOps | Model Evaluation | Model Monitoring | Model Registry | Networking | Prompt management | RAG | Red Teaming | SIEM | SoC | SoC integration | Web Services | “as-code”
Education
N/A
Roles
AI | AI Architect | Architect | Cloud Architect | Cloud) | Data Architect | Engineer | Learning Engineer | Machine Learning Engineer
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