- Define and drive the engineering vision and technical strategy for AI/ML-powered solutions across New Selection Success and Seller Growth Recommendations.
- Lead the design, development, and operation of scalable seller-facing applications and services leveraging tech stacks such as agentic AI, LLMs, machine learning, and deep learning.
- Own end-to-end MLOps and AI infrastructure, including model deployment, inference serving, monitoring, and lifecycle management, and partner closely with Applied Scientists to to enable rapid experimentation and efficient delivery of new features.
- Drive engineering excellence and operational best practices to ensure the scalability, reliability, performance, and cost efficiency of production systems.
- Hire, mentor, and develop a high-performing engineering team, fostering a culture of innovation, ownership, and continuous improvement.
- Collaborate with product and business stakeholders to translate ambiguous customer needs into actionable engineering plans and deliver measurable seller and business impact.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience partnering with product or program management teams
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Experience in optimizing production ML systems for scalability, reliability, latency, and cost
- Experience with AWS machine learning services such as SageMaker, Bedrock, or equivalent cloud-based ML platforms
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
- Experience identifying opportunities to integrate AI solutions into products and services to drive business value
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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, WA, Seattle – 184,900.00 - 250,200.00 USD annually
