AI Platform Engineer - Self-Service Data & GenAI

Amazon; Hawthorne (CA); On-site; USD 155,000 - 209,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking an AI Platform Builder—a Data Engineer focused on building AI-native data platforms and agentic solutions to accelerate analytics and AI initiatives. You will design, implement, and evangelize data platforms that power AI/ML models and self-service analytics while partnering with SDEs, scientists, data analysts, and business stakeholders across verticals.

The role emphasizes first-principles AI utilization across the data stack, including AI-assisted code generation, data

Qualifications

• 5+ years of data engineering experience.
• 3+ years of SQL, scripting languages (Python, etc.).
• Experience developing, deploying and managing AI products at scale.
• Experience with ETL pipelines for analytics and ML use cases.
• Experience building datasets or features for ML models.

Responsibilities

• Build and maintain scalable, privacy/security-compliant data pipelines.
• Create curated datasets for AI/ML consumption and self-service analytics.
• Partner with business stakeholders, data science teams and engineers.

Skills

Data engineering

AI/ML platforms

Prompt engineering

Stakeholder management

Mentoring

Tools

AWS

Redshift

S3

Glue

EMR

Kinesis

Lambda

BI tools

Job description

Amazon is seeking an AI Platform Builder—a Data Engineer focused on building AI-native data platforms and agentic solutions to accelerate analytics and AI initiatives. You will design, implement, and evangelize data platforms that power AI/ML models and self-service analytics while partnering with SDEs, scientists, data analysts, and business stakeholders across verticals.

The role emphasizes first-principles AI utilization across the data stack, including AI-assisted code generation, data