Enterprise Generative AI Platform Engineer

Amgen

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Remote

Quick summary

Work type
Remote
Location
Remote
Employment
Full-time
Posted
82 days ago
Freshness
Confirmed live today

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Similar $204k
$152k $256k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$245,512.

Based on 240 similar postings.

Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 76 open roles on FindRole.

Listed pay typically runs $136,906–$185,227 across 45 roles with salary data.

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At a glance

TL;DR · Enterprise Generative AI Platform Engineer

The Enterprise Generative AI Platform Engineer joins the information systems team to transform approved AI capabilities into practical, responsible, and repeatable solutions. This individual contributor supports platforms such as ChatGPT Enterprise and custom GPTs by connecting user needs with platform capabilities, guiding use-case intake, and creating reusable guidance. Key responsibilities include assessing use cases for feasibility and risk, turning feedback into prioritized requirements, and partnering with Engineering, Security, Privacy, Compliance, and Legal teams to ensure practical governance. The role requires experience in enterprise technology, technical enablement, or product management, alongside practical familiarity with generative AI platforms. Candidates must demonstrate strong communication skills to translate technical capabilities into clear guidance. The work involves supporting pilots, workshops, and office hours to build confidence and surface adoption barriers within a regulated industry context.

What you'll do

  • Support enterprise generative AI capabilities including ChatGPT Enterprise and custom GPTs.
  • Assess user use cases for feasibility, risk, and scalability to identify appropriate delivery paths.
  • Convert user feedback into prioritized requirements, reusable patterns, and self-service guidance.
  • Partner with security, privacy, and legal teams to ensure responsible AI governance.
  • Conduct pilots, workshops, and demonstrations to build user confidence and identify adoption barriers.
  • Track platform adoption and feedback to communicate updates and improvement recommendations.

What we're looking for

  • 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 to translate 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, IT, Engineering, Product Management, Business, or a related field.
  • Bachelor’s degree with 5+ years of experience in Computer Science, IT, Engineering, Product Management, Business, or a related field.
  • Relevant certifications in generative AI, cloud, product management, program management, change management, or information security (preferred).

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