Vice President (VP) of Artificial Intelligence (AI)
(Redirected from VP of AI)
Jump to navigation
Jump to search
A Vice President (VP) of Artificial Intelligence (AI) is an software engineering VP who specializes in AI technologies.
- AKA: Head of AI Strategy.
- Context:
- They (typically) manage AI Teams comprising AI researchers, ML engineers, and data scientists.
- They can (often) define the Organizational AI Strategy, including an AI Capability Roadmap, within the purview of the technology department.
- They can (often) be responsible for driving AI-based innovations and ensuring the scalability and integration of AI technologies in business processes.
- They can (often) be associated with a VP of AI Job Description.
- They can collaborate with other departments such as Product Dept., Marketing Dept., and Operations Dept. to implement AI solutions.
- …
- Example(s):
- Facebook's VP of AI, such as Jerome Pesenti (who manages Facebook's AI Strategy).
- Apple's SVP of ML and AI Strategy, such as John Giannandrea (who manages Apple's AI Strategy).
- Samsung's VP of AI Strategy, such as Ji Soo Yi (who manages Samsung's AI Strategy).
- Intel's Head of AI Strategy, such as Mark Robins (who manages Intel's AI Strategy).
- LegalOn's VP of AI, such as Gabor Melli (who manages LegalOn's AI Strategy).
- …
- Counter-Example(s):
- See: VP of Search and Personalization.
References
2023
- https://linkedin.com/jobs/view/3684713114/?trackingId=GJEieBaD%2F30KgaLet6Ljmw%3D%3D
- QUOTE: Responsibilities:
- Leading AI research and development efforts to provide automation of clinical tasks using one or more of medical images, phenotypic data, chemical-protein interactions, electronic medical records, and clinical reports.
- Managing a team of AI Scientists building multimodal foundational models and generative AI.
- Driving research innovation, staying up-to-date with the latest developments in AI research, and identifying areas of opportunity for the team.
- Fostering collaboration across the AI research team and with other cross-functional teams.
- Building strong relationships with stakeholders to understand their needs and provide strategic input on AI research initiatives.
- Participating in key technical and design discussions with technical leads as a hands-on manager.
- Looking to the future of AI/ML and autonomous health management capabilities.
- Driving Strategy and defining best practices for the multidisciplinary Generative AI team.
- Basic Qualifications:
- Advanced degree (e.g., M.S. or PhD) in computer science, statistics, engineering, mathematics or relevant discipline.
- 3+ years of experience managing a high-performing team of AI scientists.
- Experience with leadership of experienced scientists as well as a record of developing junior members from academia/industry to a career track in a business environment.
- Excellent communication and interpersonal skills with the ability to build strong relationships with stakeholders.
- Experience implementing foundational and large language models at scale.
- Demonstrated expertise in large-scale foundational and large language models training, pre-training, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
- Demonstrated experience in building/delivering large scale AI such as generative AI models, large vision/language models, and multi-modal AI models for problems related to combinatorial optimization, segmentation, detection, quantification, measurements, classification, etc.
- QUOTE: Responsibilities:
2022
- "VP, AI & ML at Upwork."
- QUOTE: Your Responsibilities
- Lead multiple Machine Learning teams responsible for the entire product lifecycle to developing Machine Learning based proof-of-concepts.
- Identify new opportunities and set directions for the collaboration with Product, Marketing and Operations teams.
- Be in charge of the team’s technical strategy, planning and execution, and establish rituals to be aligned with partners.
- Advise, mentor and learn from team members in all the relevant areas from Product Engineering to Artificial Intelligence and Machine Learning.
- Drive a high standard of excellence for Machine Learning Researchers and Engineers to continuously achieve innovations while also ensuring high scalability and availability of current product systems.
- Proven ability to work in a fast-paced, iterative environment and lead the parallel development and delivery of features on multiple related product areas.
- Strong focus on the customer and the business, coupled with a burning desire to learn, respond to feedback and grow. We’re looking for people who thrive with learning new technologies and don’t believe in one-size-fits-all solutions.
- Excellent written and verbal communication skills. Our teams are widely distributed, and you will be required to communicate with technical and non-technical audiences across different cultures.
- QUOTE: Your Responsibilities
2020
- https://linkedin.com/jobs/search/?currentJobId=2211919989&keywords=vice%20president%20of%20artificial%20intelligence
- QUOTE: ... Specific Responsibilities Will Include
- Continually engage with business leaders to fully understand automation opportunities
- Define strategy and end-to-end roadmap for AI solutions to automate key processes across Optum Insight
- Define and communicate AI capability roadmap.
- Transform business processes and implement workflow automation using best in class breakthroughs in AI
- Identify and prioritize new transformation opportunities
- Ensure reuse and common approaches to transform business processes
- Ensure consistent approaches to AI solution development (encouraging preferred approaches whenever possible)
- Identify opportunities for document information extraction and dialog automation (voice, chat)
- Review RPA implementations and propose full automation when possible
- Lead technical and business evaluation of cloud vendor solutions (such as those from Microsoft & Google)
- Manage budget and capital planning activities
- Hire, lead, coach and mentor team members
- QUOTE: ... Specific Responsibilities Will Include