JobsSr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science
Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science
AmazonSr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science
AmazonLocation
Hawthorne, CA
Type
Full-time
Posted
5/4/2026
Compensation
$154,600 - $209,100 per year
Undergraduate with 5+ Years of Experience
Approval 98.6%·Filings 19,451·New hires 10,113·
👑 Elite Sponsor
·FY 2025Job description
The AI Platform Builder role is focused on developing AI solutions and platforms, requiring a blend of data engineering, business intelligence, and platform engineering skills. This position involves collaborating with software engineers, data scientists, and business stakeholders to create AI-driven data pipelines and self-service analytics. The Analytics & Science team aims to transform the organization into an AI-powered entity, enhancing decision-making through innovative data solutions. The role emphasizes the use of AI to improve data quality and accessibility across various business verticals.
Requirements
- 5+ years of data engineering experience
- 3+ years of experience with data querying languages such as SQL and scripting languages like Python
- Experience developing, deploying, and managing AI products at scale
- Extensive hands-on experience with Generative AI enhanced development pipelines and AI coding assistants
- Experience with AWS technologies including Redshift, S3, and AWS Glue
- Experience building multi-agent systems or custom AI agent frameworks
- Experience with prompt engineering and Large Language Model fine-tuning
- Experience with BI tools such as QuickSight, Tableau, or Looker
Responsibilities
- Build and maintain efficient, scalable, and privacy/security-compliant data pipelines for AI/ML consumption.
- Design and build curated datasets leveraging AI code generation and Agentic AI tools.
- Implement AI-powered self-service platforms with natural language interfaces.
- Create intelligent governance systems for data classification and lineage tracking.
- Facilitate AI-augmented workshops for stakeholders to explore data capabilities collaboratively.
Benefits
- 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.
Is this posting expired or inaccurate?
