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 ...

Skills & Technologies

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 to convert AI ambitions into scalable programs. This role requires hands-on experience in AI/ML engineering.

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 lies at the intersection of deep AI understanding and practical execution, allowing you to effectively translate customer needs into deployable solutions. You are familiar with multi-agent systems and have experience in architecting autonomous agent ecosystems that solve complex business problems. Your technical skills include proficiency in AWS and MLOps practices, enabling you to optimize system performance and ensure responsible AI operations.

You possess a solid understanding of the full-stack AI development process, from scalable backends for model serving to high-performance frontend interfaces. Your experience includes implementing advanced security controls and governance protocols to maintain compliance in AI operations. You are adept at evaluating and tuning systems for optimal performance, balancing model quality with latency and throughput. You thrive in collaborative environments and are eager to work closely with customers to ensure their AI initiatives are successful.

What you'll do

In this role, you will architect and operate autonomous agent ecosystems, designing and deploying multi-agent systems that collaborate to address high-value business challenges. You will lead the full-stack AI development process, taking ownership of the end-to-end stack, including backend model serving and frontend interfaces for AI interaction. Your responsibilities will include establishing agentic governance and security measures, implementing protocols to ensure responsible AI operations.

You will optimize system performance by evaluating trade-offs between model quality, latency, and throughput. Your role will also involve advanced MLOps practices, standardizing processes to achieve the best results for customers. You will work hands-on with customers to ensure their AI use cases transition from intent to production-ready systems, contributing to the broader AWS mission of enabling organizations to innovate and scale on the cloud. Your work will directly impact the success of AI adoption across ASEAN, helping organizations move from experimentation to production with foundation models and LLMs.

What we offer

At Amazon, you will be part of a dynamic team that is at the forefront of AI innovation. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will have the chance to work on cutting-edge technologies and collaborate with industry leaders in AI and machine learning. Join us in shaping the future of AI and making a meaningful impact on businesses across the region.

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