Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Overview

Amazon is hiring an AI Platform Data Engineer to design and implement platform features that power AI/ML initiatives. You'll work with data engineering, business intelligence, and platform engineering to enhance data quality and usability. This position requires experience with AI-powered development tools and data pipelines.

Job Description

Who you are

You are an AI-first Platform Data Engineer with a strong technical background and a passion for leveraging AI in data environments. You have experience in data engineering, business intelligence, and platform engineering, allowing you to effectively collaborate with software development engineers, scientists, and business stakeholders. Your analytical skills enable you to embrace a prompt-driven development philosophy, ensuring that you can deliver high-quality solutions that meet business needs.

You possess excellent communication skills, which help you articulate complex technical concepts to non-technical stakeholders. Your stakeholder management abilities allow you to build strong partnerships across various verticals, ensuring that the solutions you design are aligned with business objectives. You are comfortable working in a complex data environment and have a first-principles approach to problem-solving, particularly when it comes to leveraging AI at every layer of the data stack.

Desirable

Experience with AI-powered development tools and intelligent data discovery tools is a plus. Familiarity with prompt engineering and ML feature engineering will set you apart, as will your ability to automate processes and enhance data discoverability. You are eager to learn and adapt to new technologies, continuously seeking ways to improve your skills and the systems you work with.

What you'll do

In this role, you will design, evangelize, and implement platform features that support AI/ML initiatives and self-service analytics. You will work closely with various teams to create curated datasets that power intelligent agents and enhance the neighbor experience. Your responsibilities will include building production data pipelines and datasets for machine learning features, ensuring that data quality and usability are prioritized.

You will leverage AI to automate processes and create self-improving systems that continuously enhance data quality and discoverability. Your work will involve collaborating with software development engineers and data analysts to ensure that the solutions you develop are robust and scalable. You will also be responsible for implementing automated testing frameworks to ensure the reliability of the systems you build.

What we offer

At Amazon, you will be part of a dynamic team that values innovation and collaboration. We offer competitive compensation and opportunities for professional growth. You will have access to cutting-edge technologies and the chance to work on impactful projects that enhance the customer experience. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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