Director, AI & Machine Learning

Doctorate degree and 4 years of  Director, AI & Machine Learning experience
OR
Master’s degree and 8 years of  Director, AI & Machine Learning experience
OR
Bachelor’s degree and 10 years of  Director, AI & Machine Learning experience

In addition to meeting at least one of the above requirements, you must have at least 4 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources.  Your managerial experience may run concurrently with the required technical experience referenced above 

• AI/ML technical leadership. Expert AI/ML engineering knowledge with a demonstrated record of setting technical and modeling strategy for scientific research applications. Proven ability to evaluate emerging AI/ML methods, make consequential architecture and technology decisions, and translate scientific needs into reusable, scalable AI capabilities and production-grade research workflows. 

• Production systems and architecture. Deep hands-on understanding of software engineering and production AI/ML system design, including scalable APIs and pipelines, cloud platforms, model serving, evaluation, observability, and maintainable system architecture that support reusable scientific capabilities and workflows.. 

• Data, MLOps, and lifecycle operations. Experience directing reusable data and MLOps capabilities, including lineage, reproducibility, validation, monitoring, drift detection, CI/CD, incident response, auditability, and model retirement. 

• Responsible AI in a regulated environment. Ability to implement fit-for-purpose governance, validation evidence, model documentation, risk controls, access safeguards, and review mechanisms for sensitive or regulated AI/ML applications. 

• People and organizational leadership. Demonstrated success building and leading high-performing technical teams, developing senior professionals, informing resource allocation, and guiding advanced programs through major change. 

• Strategic stakeholder management. Strong record of building alliances across scientific, business, and technology functions; partnering with scientists and research workflow owners to translate complex scientific needs into scalable AI/ML solutions; influencing decisions without formal authority; and communicating complex ML strategy to leadership audiences. 

• Generative AI and systems thinking. Experience setting strategy for foundation models and enterprise AI adoption, balancing innovation, compliance, platform reuse, operating risk, workforce enablement, and scientific or business value. 

Education and Professional Certifications 

• Education. Doctorate degree with 10-12+ years of relevant experience in computer science, machine learning, artificial intelligence, computational science, data science, engineering, or a related field; OR Bachelor's degree with 12-14+ years of relevant experience. 

• Technical depth. Demonstrated experience with Python and modern ML/deep-learning frameworks (for example, PyTorch, TensorFlow, JAX), along with cloud and data platforms used to deploy AI/ML solutions at scale. 

• Certifications. Relevant cloud, AI/ML, or MLOps certifications (for example, AWS, Azure, Google Cloud, Databricks) are a plus. 

PREFERRED QUALIFICATIONS 

• Agentic AI architectures. Experience designing, evaluating, and governing agentic AI architectures, including tool use, orchestration, planning, memory, guardrails, human oversight, and production monitoring. 

• Scientific background. Academic or professional background in chemistry, biology, biochemistry, biophysics, computational biology, bioinformatics, or a related life-science discipline.  

• Scientific AI and foundation models. Experience with AI/ML enabled approaches for biological and molecular research, including protein structure prediction, Protein Language Models (PLMs), biological foundation models, molecular design, or related computational biology and chemistry applications is a plus. 

• Biopharma and regulated domains. Experience applying AI/ML in pharma, biotech, healthcare, or another highly regulated industry, including an understanding of privacy, consent, data provenance, quality, and compliance expectations. 

• Enterprise platform experience. Experience partnering with cloud, data engineering, security, and platform teams to build reusable AI/ML capabilities using Azure, Databricks, Snowflake, or comparable technology ecosystems. 

• Scientific and executive communication. Ability to turn technical evidence into concise, decision-ready narratives for scientific leaders, business leaders, and senior executives. 

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• 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.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided 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 accommodation.