1 day ago
Base Salary
$154k - $229k/yr
Responsibilities
- Design and implement complex, scalable, and secure AI/ML solutions on AWS tailored to customer requirements.
- Develop and deploy machine learning models and generative AI applications for real-world business problems.
- Select and fine-tune models, conduct experiments, benchmark performance, and optimize solutions at scale.
- Collaborate with customer stakeholders to identify high-value use cases, gather requirements, and define implementation strategies.
- Provide technical guidance on responsible, cost-efficient AI/ML adoption and troubleshoot solutions during project delivery.
- Advise customers on AI/ML advancements, emerging technologies, and effective use of diverse data sources.
- Mentor team members, deliver training, create reusable AI/ML artifacts, and evaluate new technologies.
Requirements
- US citizenship is required.
- At least 3 years of cloud architecture and solution implementation experience.
- At least 5 years of experience with machine learning, statistical modeling, data mining, and analytics techniques.
- Experience with professional software engineering practices across the full software development life cycle, including coding standards, software architecture, code reviews, source control management, continuous deployments, testing, and operational excellence.
- Experience defining and creating benchmarks for assessing generative AI model performance.
- Experience translating complex technical solutions and data-driven insights into actionable recommendations for technical and non-technical audiences.
- Preferred: knowledge of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Preferred: experience with cloud performance optimization, cost management, technical communication in pre-sales environments, and customer-facing complex project management.
Benefits
- Comprehensive health insurance, including medical, dental, vision, and prescription coverage.
- Basic Life and AD&D insurance, supplemental life plan options, Employee Assistance Program, mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- Mentorship, career-development resources, employee-led affinity groups, and ongoing learning experiences.
- Work-life flexibility and support for workplace accommodations.
- Available in Denver, Atlanta, Jersey City, New York, Austin, Dallas, Arlington, and Herndon; the application deadline is October 7, 2026.
Tech Stack
Categories
Solutions Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.