Description Come to AWS to build technology with global impact. Millions of customers, including the fastest-growing startups, largest enterprises, and leading government agencies, trust AWS to power their infrastructure and accelerate their AI/ML initiatives through our comprehensive stack of tools and services. Our AI Infrastructure organization is at the forefront of innovation, building and scaling the foundational technologies that enable customers to develop, train, and deploy machine learning models with unparalleled performance, security, and reliability. We are seeking an experienced Director of Software Development to lead SageMaker's next generation distributed training systems for AI models. The ideal candidate will drive innovation in model customization capabilities, focusing on advanced techniques such as reinforcement learning and model distillation to enhance our AI offerings. You will spearhead the development of optimized training engines that create significant price-performance advantages for our customers, enabling them to train larger models more efficiently. This role requires strategic vision to build and scale training applications and tools that simplify the AI development process while maintaining Amazon's high standards for performance and reliability. Basic Qualifications - Bachelor’s degree in Computer Science, Computer Engineering or equivalent experience - 10+ years of software engineering experience - 5+ years managing managers - Excellent verbal and written communication skills with tech and non-tech customers - Understanding of software engineering practices & best practices for the full software development life cycle including coding standards, build processes, testing, and operations Preferred Qualifications - Experience building tier-1 ML/AI services - Experience managing or working with machine learning scientists or applied data scientists - Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet timelines with optimal solutions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $264,100/year in our lowest geographic market up to $350,000/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.