AmazonPosted 8mo ago

Sr. AI Platform Data Engineer, Amazon Autos

Sr. AI Platform Data Engineer, Amazon Autos at Amazon scores 67 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

IN, HR, Gurugramseniorfull-time

AI in this role

ai-agentsai-automation

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 you'll not only leverage AI tools but build the next generation of AI-enabled data platforms. You'll 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.

Basic qualifications

- 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

Preferred qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsAI Automation

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a workflow you automated with AI tools, end to end.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI Agents and AI Automation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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