Drive the implementation of AI solutions at RBC as a Staff AI Engineer. Focus on ensuring quality governance and reliable deployment processes for AI-generated code across platforms. As a key member of the Enterprise Architecture team, your primary responsibility will be to strategically manage enterprise-wide initiatives at RBC.
This role involves defining deployment standards, overseeing AI code quality, and working on safeguarding production transitions. You will be integral in building a pipeline that establishes trust in AI systems and their outputs throughout the organization. Key Responsibilities:
- Own the pipeline from AI validation to deployment
- Ensure the traceability and reviewability of AI code
- Set and enforce coding standards within AI projects
- Collaborate with stakeholders to define governance policies
- Manage infrastructure for AI-generated processes Requirements:
- Experience with orchestration tools like CrewAI
- Strong background in containerization and CI/CD practices
- Proficient in automated testing frameworks
- Knowledge in risk governance and security measures
- Strong communication and organizational skills Your role will be crucial in advancing RBC’s AI infrastructure and ensuring integrity in software delivery, fostering cutting-edge growth.
📌 Lead AI Engineer at RBC's Enterprise Architecture (Toronto)
🏢 RBC
📍 Toronto
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