Application deadline: Jul 5, 2026
This position requires that the candidate to be a US citizen.
Key job responsibilities
Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility
BASIC QUALIFICATIONS
- 2+ years of cloud architecture and solution implementation experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques
- Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects
PREFERRED QUALIFICATIONS
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience in performance optimization and cost management for cloud environments
- Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 151,000.00 - 204,300.00 USD annually
USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually
USA, CO, Denver - 131,300.00 - 177,600.00 USD annually
USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually
USA, NY, New York - 144,500.00 - 195,400.00 USD annually
USA, TX, Austin - 131,300.00 - 177,600.00 USD annually
USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually
USA, WA, Bellevue - 131,300.00 - 177,600.00 USD annually
USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually