Amazon is seeking a Software Engineering Domain Expert to oversee human-in-the-loop and model-in-the-loop data pipelines for AI solutions. This role combines software development expertise with analytical skills to ensure data quality throughout the Model Training pipeline. The Domain Expert will mentor junior engineers and provide strategic guidance on data quality standards. The ideal candidate will thrive in ambiguity and deliver impactful solutions for AI systems serving millions of customers.

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience of new and existing systems
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language
• 3+ years of full software development life cycle experience

• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support.
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization.
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise.
• Foster team excellence through mentorship and motivation of peers and junior team members.
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards and best practices.
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches.
• Stay abreast of the latest developments in LLMs and GenAI to ensure evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate benchmarks for quality and efficiency.
• Provide detailed feedback and explanations for evaluations to refine and improve the LLM's understanding and output.

• 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.