Software Dev Eng. II, Worldwide Stores Accessibility

Amazon.com.ca, ULC; Vancouver; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading company is seeking a passionate Software Development Engineer to develop AI solutions that enhance accessibility in digital experiences. The role involves designing AI tools and collaborating with various teams to improve user accessibility across Amazon's platforms.

Qualifications

• 3+ years of software development experience.
• Experience with design patterns and system reliability.

Responsibilities

• Design and implement AI tools for accessible technology.
• Develop solutions across the Software Development Life Cycle.

Skills

Software Development

AI Concepts

Problem Solving

Collaboration

Education

Bachelor’s degree in computer science

Tools

NLP

Job description

Are you passionate about applying advanced AI to solve real-world challenges that impact millions of users? Do you want to be at the forefront of defining how AI can create more inclusive digital experiences? Do you want to build AI tooling and software that will be used by teams across Amazon and solve Accessibility challenges across the software development life cycle? If so, we have an exciting opportunity for you. We are seeking a highly skilled and passionate engineer to join our team and develop AI solutions for both internal tooling and customer-facing features. Whether or not you have prior accessibility experience, if you're an exceptional software engineer with a drive to work through ambiguities and deliver meaningful impact, we want to hear from you.

AmazonTech #AIInnovation #SoftwareEngineering #FutureOfTech #Accessibility

Key job responsibilities

As an SDE in our team, you will play a key role in designing and implementing internal generative AI tools that shape the future of AI-powered online shopping experiences for customers benefiting from accessible technology. You will develop solutions across the Software Development Life Cycle (SDLC) using generative AI and build automation, including agent-based testing solutions to enhance accessible features on Amazon retail applications.

In this position, you'll partner with Applied Scientists, Product Managers, Senior and Principal Engineers, and partner teams across Amazon to create solutions that improve accessibility at scale. We seek a Software Development Engineer who demonstrates independence, passion, creativity, customer obsession, and adaptability.

The ideal candidate should have experience with common AI concepts such as MCP, RAG, and agentic workflows. We're looking for someone who is passionate about learning, thrives at solving ambiguous problems, and can design and implement reliable, maintainable, and high-performance code in a collaborative setting.

About the team

The Worldwide Stores Accessibility Team is launching a new AI initiative to revolutionize how we approach accessibility challenges at scale. Our mission is to leverage artificial intelligence to transform Amazon's development culture, making accessibility an integral part of everything we do. We're assembling a team of exceptional scientists and engineers who will develop AI-powered solutions that can scale accessibility innovations across our global organization. By combining advanced AI technologies with accessibility expertise, we aim to create transformative solutions that enhance the digital experience for all users, setting new standards for inclusive technology.

BASIC QUALIFICATIONS

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
• Bachelor’s degree in computer science or equivalent

PREFERRED QUALIFICATIONS

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience in building ML infrastructures for distributed systems of NLP applications. Examples include building the training infrastructure for generative AI applications, improving inference efficiency of a real-time large language model (LLM) service.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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