Solutions Engineer – Full Stack & AI

Career Category Information Systems Job Description ABOUT AMGEN 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 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. Roles & Responsibilities: - 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. Technology Focus Areas: - 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. Basic Qualifications and Experience: Bachelor’s degree or master’s degree and 8-12 years of experience - Experience designing and developing enterprise-grade, AI-enabled and automation-driven applications, with strong full-stack expertise across frontend, middleware and backend layers. - Proficient in full-stack development using Python, JavaScript and SQL/NoSQL with experience building scalable microservices and React-based applications. - Experience developing integrations using Databricks as a middleware platform, along with APIs and event-driven architectures. - Strong hands-on experience with cloud platforms, applying well-architected design principles and evaluating trade-offs across services. - Hands-on experience integrating generative AI solutions, including LLMs, agentic workflows, RAG patterns and AI orchestration frameworks. - Strong problem-solving and analytical skills, with the ability to quickly learn, collaborate across product/engineering teams, and effectively evaluate when to use AI-driven vs deterministic approaches. Preferred Qualifications: - Familiarity with AI orchestration frameworks, APIs and machine learning libraries. - Experience configuring workflows, rules or automation within enterprise platforms. - Experience supporting system integrations or data synchronization processes. - Experience working in Agile or iterative development environments. - Demonstrated progression in taking on increasingly complex technical responsibilities within a team setting. Soft Skills: - Strong problem-solving and systems thinking - Ability to translate business needs into scalable technical solutions - Clear communication across technical and non-technical stakeholders - Ability to manage multiple priorities in a fast-paced environment - Ownership mindset with a focus on delivering results - Curiosity and willingness to learn new technologies EQUAL OPPORTUNITY STATEMENT 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. .