Enterprise Generative AI Platform Engineer

Summary

Amgen is a leading biotechnology company focused on serving patients with serious illnesses. The Enterprise Generative AI Platform Engineer will help turn approved AI capabilities into practical solutions, partnering with various teams to improve adoption and create reusable guidance.

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

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
• 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, program management, change management or information security are a plus
• Clear written, verbal, facilitation and presentation skills
• Curiosity, initiative and the ability to learn new capabilities quickly
• Organized approach to managing priorities and following through on commitments
• Collaborative, team-oriented approach with global and virtual partners
• 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

Qualifications

Must Haves

• 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 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, program management, change management or information security are a plus
• Clear written, verbal, facilitation and presentation skills
• Curiosity, initiative and the ability to learn new capabilities quickly
• Organized approach to managing priorities and following through on commitments
• Collaborative, team-oriented approach with global and virtual partners

Nice to Haves

• 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

Benefits

• Comprehensive employee benefits package
• Retirement and Savings Plan with generous company contributions
• Group medical, dental and vision coverage
• Life and disability insurance
• Flexible spending accounts
• Discretionary annual bonus program
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible (Refer to the Work Location Type in the job posting to see if this applies.)
• Health and welfare plans for staff and eligible dependents
• Financial plans with opportunities to save towards retirement or other goals
• Work/life balance
• Career development opportunities