- Technical Leadership and Strategy : Establish the technical vision and architecture for generative AI projects.
- Develop a comprehensive roadmap for integrating generative AI technologies throughout the organization.
- Identify high-impact opportunities for generative AI across various departments and functions.
- Innovation and Prototyping : Lead the ideation and prototyping of new generative AI applications, exploring novel use cases, and pushing the boundaries of what's possible with AI.
Facilitate the transition of prototypes into scalable, production-ready solutions.
Technical Guidance : Provide technical guidance and mentorship to the technical team members, promoting best practices in code quality, design patterns, and algorithm optimization.
Lead code reviews and technical discussions to drive excellence in our AI solutions.
- Develop a deep understanding of Enbridge’s data and use that knowledge to develop new and innovative products that leverage the power of Generative AI.
- Stakeholder Engagement : Communicate effectively with stakeholders, translating complex AI concepts into understandable insights and updates.
Gather requirements and feedback to inform project direction and priorities.
Ethics and Compliance : Champion ethical AI development practices, ensuring compliance with data privacy laws and ethical guidelines.
Promote transparency and fairness in AI models and applications.
- Analyze the cultural implications of AI adoption and propose adjustments to talent management strategies.
- Knowledge and Enablement : Stay abreast of the latest advancements in generative AI research, perform proof concepts and share knowledge.
Build and curate the central knowledge base for generative AI within the organization. Develop and deliver training programs to equip teams with the knowledge and skills to use generative AI tools effectively.
Collaboration and Partnerships : Foster a collaborative environment where different departments work together on generative AI projects.
Governance and Ethics : Champion the ethical and responsible use of generative AI within the organization. Develop and implement guidelines and policies to ensure fairness, transparency, and responsible development of AI models.
Mitigate potential biases in generative AI outputs
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Technical Leadership and Strategy: Establish the technical vision and architecture for generative AI projects.Develop a comprehensive roadmap for integrating generative AI technologies throughout the organization.Identify high-impact opportunities for generative AI across various departments and fun...
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