Our team is responsible for engineering state-of-the-art recommendation systems, deploying AI-powered SEO enhancements, and creating customer propensity models using the latest technologies like Large Language Models (LLMs) and Predix. By building scalable systems and services that integrate seamlessly across Amazon’s platforms, we enable AHS to provide targeted healthcare recommendations to millions of customers. This is an opportunity to design, build, and scale high-impact solutions that combine cutting-edge algorithms, data science, and customer experience, in one of the most transformative areas—healthcare.
You’ll work with an inspiring and innovative team, using your technical expertise to create recommendation widgets that help customers discover the healthcare solutions they need, improve SEO performance with LLM-driven content generation, and build smart targeting models to optimize customer engagement.
Key job responsibilities
We are looking for software engineers who thrive in an environment that fosters innovation, experimentation, and data-driven decision-making. In this role, you will:
- Architect and develop large-scale distributed systems that power smart targeting and recommendation engines for AHS.
- Collaborate with machine learning scientists to build propensity models that personalize healthcare recommendations based on user behaviors and predictive analytics.
- Implement AI-driven SEO strategies, improving how AHS services and products rank and perform in search engines, using advanced LLMs to generate highly relevant content.
- Design and optimize the system architecture for performance, scalability, and security, ensuring a seamless customer experience across all Amazon platforms.
- Drive innovation by continually experimenting with new algorithms, data pipelines, and emerging technologies to improve targeting accuracy and system intelligence.
- Mentor junior engineers, lead technical discussions, and play a key role in shaping the team’s technical vision and roadmap.
About the team
Our mission is to drive customer growth for Amazon Health Services by engineering cutting-edge solutions that connect customers with the healthcare products and services they need. We achieve this by creating intelligent recommendation widgets, deploying smart targeting systems across Amazon.com, and leveraging AI-powered SEO strategies to maximize discoverability. Our work involves deep collaboration with data science and machine learning teams to build customer propensity models using Predix, as well as harnessing the power of Large Language Models to optimize search engine performance and content relevancy. We are shaping the future of how customers interact with healthcare on Amazon by creating systems that are smart, scalable, and transformative.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.