This role is for a Senior Software Development Engineer focused on building AI-powered data preparation systems at AWS. The team is dedicated to creating innovative solutions that ensure high-quality labeled data for machine learning initiatives. You will work in a collaborative environment, mentoring engineers and driving technical direction. The position offers high visibility and the opportunity to influence the future of data quality in machine learning.

• 5+ years of non-internship professional software development experience
• 5+ years of programming experience with at least one software programming language
• 5+ years of experience leading design or architecture of new and existing systems
• Experience as a mentor or tech lead
• 5+ years of experience in the full software development life cycle
• Bachelor's degree in computer science or equivalent
• Experience building ML pipelines or data processing systems at scale
• Hands-on experience with LLMs

• Design and deliver core components of the data preparation journey to customize and fine-tune LLMs in SageMaker.
• Build and scale systems leveraging auto-labeling and LLM-as-Judge techniques to detect and remediate data quality issues.
• Establish quality standards and evaluation frameworks for AI agents and models.
• Lead the evolution of human-in-the-loop services for data labeling and quality assurance.
• Mentor engineers and drive design reviews to raise the engineering quality bar.
• Make high-judgment architectural decisions across distributed systems and ML infrastructure.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.