Sr Associate Software Engineer – Full stack & AI
About this opportunity
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 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. This role is suited for 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.
Roles & Responsibilities:
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.
Contribute to AI-driven use cases, including workflow automation and lightweight assistant capabilities that enhance user productivity.
Collaborate closely with architecture, AI platform teams and cross-functional partners to ensure alignment with enterprise standards and best practices.
Collaborate with QA and DevOps teams to drive CI/CD pipeline enhancements.
Participate in testing (unit, integration) and support defect resolution, data fixes and issue troubleshooting within scope.
Ensure adherence to design standards, best practices and documentation for maintainability and consistency.
Escalate risks, dependencies, or design issues beyond scope and continuously expand skills across platforms and technologies
Technology Focus Areas:
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.
Integrate with enterprise AI services such as Azure OpenAI and similar platforms to enable advanced generative AI capabilities within applications.
Basic Qualifications and Experience:
Master’s degree and 2-4 years of experience
OR
Bachelor’s degree and 4-6 years of experience
AND
Experience 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.
Experience in AI experimentation and GenAI systems (LLMs, RAG, agent orchestration) with rapid prototyping and outcome-driven development.
Strong problem-solving and analytical skills, with the ability to quickly learn, collaborate across product/engineering teams.
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 attention to detail and commitment to quality
Problem-solving mindset with the ability to follow structured approaches and escalate when needed
Clear and concise communication within teams and with cross-functional stakeholders.
Ability to take direction, ask clarifying questions, and execute tasks reliably
Strong organizational skills and ability to manage assigned work effectively
Curiosity and willingness to learn new systems and technologies
Collaborative mindset and openness to feedback
.
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 378 comparable Senior Information Technology roles across 34 biopharma companies.
Salary context
45 of 378 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 378 comparable roles
+ 15 more countries
Seniority mix
378 of 378 peers have a known seniority level
Therapeutic area mix
0 of 378 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.