Sr Software Engineer, AWS Applied AI Solutions – Core Services

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide Basic qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Experience designing and implementing AI/ML systems, including working with LLMs, prompt engineering, retrieval augmented generation (RAG), fine-tuning, or AI agent development - Proven track record building distributed systems with well-designed APIs that operate reliably at enterprise scale - Demonstrated ability to create reusable software components with clean interfaces that can be leveraged by multiple teams - Strong working knowledge of AWS AI/ML services such as Amazon Bedrock, SageMaker, and related infrastructure - Successful history of cross-organizational collaboration, driving technical convergence while maintaining delivery velocity Preferred: - 10+ 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 - Experience designing and implementing evaluation systems that can measure AI system performance, and experience with metrics and testing methodologies. - Experience building hierarchical memory/storage systems for AI products, including schema design for storing and retrieving context, and memory reuse - Experience developing tools and frameworks that manage prompts. 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. 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 - 168,100.00 - 227,400.00 USD annually