We seek an AI Platform Builder who works at the intersection of data engineering and data science. You will build platforms develop Agentic Artificial Intelligence (AI) solutions and create scientific solutions that drive marketplace innovation.
You will design and implement platform features curated datasets that power self-service analytics and intelligent automation. Your work will include:
Using AI agents to write and optimize code
Building AI-powered platforms that serve ML models
Deploying intelligent agents that democratize data access
What Makes This Role Unique
This is an opportunity to work at the forefront of AI-powered data engineering where youll not only leverage AI tools but build the next generation of AI-enabled data platforms. Youll have the autonomy to own projects end-to-end while helping shape the future of automotive shopping experiences on Amazon.
Key job responsibilities
Platform Development & AI Integration
Build and maintain efficient scalable data pipelines and curated datasets optimized for AI/ML consumption
Implement systems for automated data classification to transform business problems into analytical solutions
Develop AI-native self-service data platforms using an AI-first methodology
Create AI-powered platforms with natural language interfaces for data access
Stakeholder Engagement & Delivery
Serve as a technical partner to business stakeholders data science teams and cross-functional partners
Deliver well-modeled discoverable data optimized for specific use cases
Design and build curated datasets using AI code generation and Agentic AI tools
Communicate insights and recommendations to product business and technology partners
Technical Leadership
Architect and scale services based on program vision
Recommend optimal strategies for quantifiable business impact
Break down complex challenges into manageable projects
Make pragmatic decisions to reduce risk
Lead AI-augmented workshops for stakeholders
Day-to-Day Activities
Design and build curated datasets using AI code generation tools
Build and maintain data pipelines using Amazon Web Services (AWS) and internal Amazon tools
Implement and enhance AI-powered self-service platforms
Create and maintain intelligent governance systems
A day in the life
Design and build curated datasets using AI code generation tools
Build and maintain data pipelines using Amazon Web Services (AWS) and internal Amazon tools
Implement and enhance AI-powered self-service platforms
Create and maintain intelligent governance systems
About the team
Amazon Autos transforms automotive shopping experiences. You will build a data platform for Reporting & Analytics working with product managers designers and engineers to create automotive shopping experiences that delight customers.
This role is part of the Amazon Autos Reporting & Analytics tech team. Our vision is to create automotive discovery and shopping experiences on Amazon that provide customers with greater convenience and selection.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- 4 years of data engineering experience
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
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