Sr Manager Machine Learning & Agent delivery

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. 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.

What you will do

Let’s do this. Let’s change the world. In this vital role you will join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. You’ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen’s Applied AI & Automation Footprint.

The Sr Manager Machine Learning & Agent delivery is responsible for driving innovation in AI/ML and agent-based system design at Amgen. This role is integral to advancing the organization's AI strategy by developing intelligent, scalable, and secure multi-agent systems. The Sr Manager Machine Learning & Agent delivery will be responsible for leading technical innovation, mentoring AI/ML teams, and integrating agent-based solutions into enterprise platforms. The ideal candidate has strong experience in design and architecture of AI systems, platforms and cognitive solutions, with excellent communication skills, and a deep understanding of Agile methodologies.

Roles & Responsibilities:

• Play a key role in building and leading a distributed team of Architects, AI/ML Engineers contributing to a growing internal AI & Automation Platforms and Solutions management practice.
• Mentor and provide thought leadership for AI/ML engineers and data scientists, enabling continuous technical growth in agentic design, reinforcement learning, and AI standard methodologies.
• Design, implement, and optimize multi-agent AI/ML systems that enhance automation, decision-making, and system efficiency.
• Define and set the direction for AI/ML frameworks that enable scalable and robust agentic solutions.
• Lead engineering of end-to-end ML pipelines - data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion - using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
• Strong working knowledge of agentic AI or agent-based automation such as AWS BDA, OpenAI, Langchain, Langgraph, UiPath.
• Contribute reusable platform components - feature stores, model registries, experiment-tracking libraries - and evangelize standard processes that raise engineering velocity across global delivery teams.
• Work closely with multi-functional teams to integrate agent-based solutions into Amgen’s enterprise platforms, aligning AI strategies with business objectives.
• Partner with leadership, product teams, and other collaborators to identify AI opportunities, streamline implementations, and align AI/ML strategies with company goals.
• Ensure that AI solutions meet enterprise-scale performance, security, and reliability standards, while maintaining detailed documentation for long-term scalability.
• Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams.
• Stay at the forefront of emerging trends in agentic automation, autonomous agents, AI orchestration, and GenAI. Evaluate and pilot new tools and frameworks and bring forward innovative capabilities that align with enterprise strategy.
• Conduct market research and competitive analysis to find opportunities and inform product/platforms strategy.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Doctorate/Masters/Bachelors degree with 12 - 17 years of experience as Product Owner / Platform Owner / Service Owner.

Functional Skills:

• Expertise in designing and implementing AI/ML systems and Agents, Agentic Processes.
• Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
• Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, or Azure) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
• Strong background in authoring and managing highly complex technical documentation at an enterprise level.
• Ability to lead multidisciplinary teams including AI/ML engineers, and architects in a matrixed or agile environment.
• Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.

Good-to-Have Skills:

• Comprehensive command of machine-learning algorithms - regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques.
• Knowledge in Intelligent Automation with experience in automations tools like UiPath & Power Automate, Process Intelligence tools like Celonis, DocuSign and GenAI Tools/LLMs.
• Knowledge of data privacy, governance, and regulatory requirements (e.g., GxP, HIPAA, GDPR) in deploying AI/automation.
• Experience managing change and driving adoption of new digital technologies across large or regulated enterprises.
• Domain Knowledge in Life Sciences / Healthcare.
• Strong knowledge of Agile methodologies and product management principles.

Soft Skills:

• Ability to lead, coach, and grow multidisciplinary teams by fostering trust, psychological safety, and a high-performance culture.
• Ability to convey complex AI/ML concepts to both technical and non-technical collaborators.
• Drives transformation by inspiring others, navigating resistance, and building momentum for adopting AI and automation at scale.
• Effectively aligns and motivates multi-functional partners, even in matrixed or decentralized environments.
• Maintains focus and adaptability in a dynamic, fast-evolving tech landscape quickly responding to change while guiding the team with clarity.

What you can expect of us

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.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

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.