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Amgen is seeking a senior software engineer to design, build and deliver AI-enabled full-stack solutions for Contracting Operations and Revenue Management. You will partner with business, product and engineering teams to translate operational challenges into scalable technology, owning delivery from concept through implementation.
This is a hands-on role across React, Node.js, Python and Databricks integrations.
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.
Role Description: In this role, you will design, build and deliver AI-enabled full-stack solutions that support Contracting Operations and Revenue Management platforms within Amgen’s Global Commercial Operations and Corporate Functions Technology organization. Your work will focus on integrating AI capabilities into practical full-stack solutions that reduce manual effort, improve data quality and increase process efficiency. You will partner with business, product and engineering teams to translate operational challenges into scalable technology solutions. This role is suited for senior engineers who are comfortable working across multiple systems, learning new domains over time and owning delivery from concept through implementation. You will operate within a defined problem space, partnering with senior leaders to shape solution approaches and guide implementation across a small team. You will make design and implementation decisions within your scope, aligned to broader architectural direction. This is a hands-on engineering role with end-to-end ownership, requiring active solution design, coding, integration and delivery.
Design, build and deliver scalable, enterprise-grade full-stack AI applications using React, Node.js, Python and Large Language Model APIs. Develop and manage robust integrations leveraging Databricks as the middleware platform, enabling seamless data and service orchestration. Translate business automation requirements into scalable technical designs and implement solutions across enterprise systems such as Salesforce CPQ/CLM, Anaplan and Model N. Contribute to AI-driven use cases, including workflow automation and lightweight assistant capabilities that enhance user productivity. Rapidly prototype and iterate AI automation solutions, emphasizing simplicity, maintainability and platform-first architecture. Collaborate closely with architecture, AI platform teams, and cross-functional partners to ensure alignment with enterprise standards and best practices. Provide technical leadership through design reviews, code reviews and hands-on implementation guidance to engineering teams. Decompose complex solutions into well-defined components, ensuring high quality through strong engineering practices and review processes. Collaborate with QA and DevOps teams to drive CI/CD pipeline enhancements. Own end-to-end delivery of AI automation solutions from design through stabilization, driving measurable improvements in cycle time, data quality and operational efficiency.
Translate business needs into agentic workflows and production-ready full-stack components (APIs, services, UIs). Design and implement end-to-end generative AI full-stack applications and AI-driven automation solutions that enable workflow orchestration and process optimization. Develop scalable backend services using Node.js and Python-based microservices, along with well-defined APIs to support enterprise applications. Build and integrate responsive frontend experiences using React, ensuring seamless interaction with AI-powered backend systems with Databricks Integration. Leverage enterprise platforms such as Salesforce, Conga CLM/CPQ, Model N, Databricks, and Anaplan to deliver integrated, business-critical solutions. Utilize AI orchestration frameworks, APIs and machine learning libraries to develop intelligent, scalable, and production-ready solutions. Work with AI assistants and copilots, incorporating vector search, embedding-based retrieval and prompt-driven workflows within enterprise ecosystems. Apply understanding of data structures and domain models across contract lifecycle, pricing and revenue management processes. Integrate with enterprise AI services such as Azure OpenAI and similar platforms to enable advanced generative AI capabilities within applications.
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.
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people’s lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen