Enterprise Generative AI Platform Engineer
Amgen
- Location
- United States - Remote
- Work model
- Remote
- Level
- Mid
- H-1B history
- 137 approvals (FY2023)
- Posted
- 1h ago
Skills
About this role
Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Enterprise Generative AI Platform Engineer What you will do Let’s do this. Let’s change the world. In this vital role you will help Amgen turn approved AI capabilities into practical, responsible and repeatable solutions. This individual contributor will support platforms such as ChatGPT Enterprise, custom GPTs and related services; connect user needs with platform capability; guide use-case intake; and create reusable guidance. You will partner with Product, Engineering, Security, Privacy, Compliance, Legal and business teams to improve adoption and measurable value. Roles & Responsibilities: 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. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an Enterprise Generative AI Platform Engineer with these qualifications: Must-Have Skills: 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. Good-to-Have Skills: 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. Education and Professional Certifications Master’s degree with 2+ years of experience in Computer Science, Information Technology, Engineering, Product Management, Business or a related field OR Bachelor’s degree with 5+ years of experience in Computer Science, Information Technology, Engineering, Product Management, Business or a related field Relevant certifications in generative AI, cloud platforms, product management,