Director, Engineering, AI & MLOps (6-Month Contract)
Toronto, ON, M5V 1X6, CAN
CAD 120K-154K (estimate) Executive-level Contract
Tasks
- Align AI investments with enterprise priorities
- Build monitoring and lifecycle management practices
- Coordinate production readiness monitoring support and cost management
- Create enterprise AI standards and guardrails
- Define production-readiness criteria
- Develop and execute enterprise AI operationalization roadmap
- Ensure security privacy risk and governance compliance
- Establish decision rights and measurable outcome expectations
- Establish model lifecycle management governance
- Implement agent orchestration standards
- Influence enterprise technology decisions and architecture patterns
- Lead and develop high performing teams through coaching and mentorship
- Lead enterprise AI delivery capability
- Measure AI outcomes and continuously improve performance
- Partner with business leaders on AI use case prioritization
- Partner with data architecture security privacy governance and platform teams
- Transition AI machine learning and agentic solutions to production
- Translate business opportunities into scalable AI products
Perks/Benefits
- Employee and family assistance program
- Employee share ownership plan
- Health and dental benefits
- In-store discount
- Learning and development opportunities
- Paid vacation
- Parental leave top-up
- Remote or virtual support
- Retirement and savings programs
- Virtual healthcare
Skills/Tech-stack
Advanced Analytics | Agent Orchestration | Agentic AI | Artificial Intelligence | Data Governance | Data strategy | Enterprise Architecture | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Monitoring and observability | Privacy | Production Support | Risk Management | Security
Education
N/A
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