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 a Senior AI Engineer to design and operate production AI systems using GenAI and Agentic AI technologies. You'll work with AWS and lead full-stack AI development, requiring expertise in MLOps and Python.

Job Description

Who you are

You have a strong background in AI and machine learning, with hands-on experience in designing and deploying production AI systems. Your expertise in MLOps allows you to optimize and manage AI workflows effectively, ensuring high performance and reliability in production environments.

You possess deep knowledge of AWS services and have successfully implemented scalable solutions that leverage cloud technologies. Your proficiency in Python enables you to develop robust applications and integrate various AI components seamlessly.

You understand the importance of security and governance in AI operations, implementing advanced protocols to ensure compliance and responsible AI usage. Your experience with multi-agent systems and autonomous agent ecosystems positions you as a leader in driving innovative AI solutions.

You are a collaborative team player, capable of working closely with customers to translate their AI ambitions into actionable programs. Your ability to communicate complex technical concepts to non-technical stakeholders is a key asset in your role.

Desirable

Experience with large language models (LLMs) and foundation models is a plus, as is familiarity with agentic AI technologies. You are passionate about staying updated with the latest advancements in AI and machine learning, continuously seeking opportunities to enhance your skills.

What you'll do

In this role, you will architect and operate autonomous agent ecosystems, designing multi-agent systems that collaborate to solve high-value business problems. You will lead full-stack AI development, owning the end-to-end stack from model serving to frontend interfaces, ensuring a seamless user experience.

You will establish agentic governance and security measures, implementing protocols that prioritize responsible AI operations. Your focus on optimizing system performance will involve evaluating trade-offs between model quality, latency, and throughput, ensuring that deployed systems meet business needs effectively.

As part of the AWS Global Sales team, you will work hands-on with customers, guiding them from initial intent to deployable, production-ready systems. Your role will involve collaborating with cross-functional teams to deliver innovative AI solutions that drive customer success.

What we offer

Amazon provides a dynamic work environment where you can thrive and grow your career in AI and machine learning. You will have access to cutting-edge technologies and the opportunity to work on impactful projects that shape the future of AI adoption.

We encourage you to apply even if your experience doesn't match every requirement. At Amazon, we value diverse perspectives and believe that innovation comes from a variety of backgrounds and experiences. Join us in leading the next phase of AI adoption and making a difference in the industry.

Interested in this role?

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