Director of AI Engineering – Generative AI & Autonomous Systems (10033) Toronto, Canada
Tasks
- Communicate strategy progress and impact to executives and customers
- Define AI engineering vision and roadmap
- Design LLM multi agent and generative model systems
- Drive end to end AI system lifecycle
- Ensure responsible AI practices
- Ensure secure reliable cloud native AI systems
- Establish deployment and monitoring best practices
- Evaluate emerging AI frameworks and technologies
- Integrate AI into core products
- Lead AI engineering team development
- Measure AI business impact
- Mentor engineers and emerging leaders
- Partner with product management to deliver AI features
- Prototype and productionize AI systems
- Provide scalable AI architecture direction
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Artificial Intelligence | Azure | Cloud Native | Deployment | Generative AI | Google Cloud | LLMOps | Language Models | Large Language Models | Lifecycle Management | Machine Learning | Model Lifecycle | Model Lifecycle Management | Monitoring | Multi-Agent | Multi-Agent Systems | Orchestration | Reliability | Retrieval-Augmented Generation | Security
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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