Enterprise Generative AI Platform Engineer
$12,965,475–$17,541,525 year
RemoteUnited States
Job Summary
Support enterprise generative AI capabilities, including ChatGPT Enterprise, custom GPTs, and related tools. Help teams clarify use cases, assess fit and risk, and identify an appropriate delivery path. Turn user feedback into prioritized requirements, reusable patterns, templates, and self-service guidance. Partner with Product, Engineering, Security, Privacy, Compliance, and Legal teams to support responsible use and practical governance. Support pilots, workshops, office hours, and demonstrations that build confidence and surface adoption barriers. Track adoption and feedback, then communicate platform updates and recommendations for improvement.
Required Qualifications
- Experience in enterprise technology, technical enablement, internal tools, product, solutions or a related field
- Practical familiarity with generative AI platforms, custom assistants or GPTs, and common enterprise use cases
- Ability to assess use cases for user value, feasibility, risk and scalability
- Strong communication and stakeholder skills, including translating technical capabilities into clear guidance
- Ability to collaborate effectively with business, engineering, security and governance partners
- Master's degree with 2+ years of experience in Computer Science, Information Technology, Engineering, Product Management, Business or a related field
- Bachelor's degree with 5+ years of experience in Computer Science, Information Technology, Engineering, Product Management, Business or a related field
Desired Qualifications
- Experience with ChatGPT Enterprise, custom GPTs or comparable generative AI platforms
- Experience supporting technology adoption through training, office hours or communities of practice
- Familiarity with responsible AI, privacy, information security or access management
- Experience in biotechnology, pharmaceuticals, healthcare or another regulated industry
- Relevant certifications in generative AI, cloud platforms, product management, program management, change management or information security
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