Principal Machine Learning Engineer
Quick Summary
Own enterprise AI/ML architecture, engineering standards, APIs, guardrails and reusable patterns across cloud and on-prem environments.
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
About the Role
~1 min readWe are seeking a Principal Machine Learning Engineer—Amgen’s most senior individual-contributor leader—to build and scale end-to-end machine-learning and generative-AI solutions for enterprise use cases. Sitting at the intersection of engineering excellence, platform enablement and business impact, you will develop, deploy and monitor models—classical ML, deep learning and LLM-based solutions—securely, responsibly and cost-effectively. Acting as a player-coach, you will define technical standards, shape AI solution strategy, establish reusable patterns and reference architectures, and partner with DevOps, Security, Compliance, Product and business teams to deliver enterprise-grade AI solutions in a regulated environment.
Responsibilities
~1 min read- →
Overall career span of 10-12+ years building production-grade technology solutions with 3-5 years of hands-on experience in AI/ML and enterprise software.
Experience in Biotechnology or pharma industry is a big plus
Exposure to Value and Access, market access, payer, commercial analytics or related healthcare business domains is preferred.
Experience delivering AI/ML solutions in regulated environments with familiarity in validation, auditability, explainability and risk controls is a plus.
Published thought-leadership or conference talks on enterprise GenAI adoption.
Master’s degree in Computer Science and or Data Science
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.
Master’s degree with 10-12 + years of experience in Computer Science, IT or related field
OR
Bachelor’s degree with 12-14 + years of experience in Computer Science, IT or related field
Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.
Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals.
Ability to learn quickly, be organized and detail oriented.
Strong presentation and public speaking skills.
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
.Location & Eligibility
Listing Details
- First seen
- September 28, 2026
- Last seen
- September 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- September 28, 2026
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