Level

Amazon

Senior Software Development Engineer, Amazon Private Brands

AI in this role

Senior Software Engineer building AI-native product lifecycle management platforms, Gen AI copilots, and agentic workflows.

reactjavallms
ai-agentsfull-stack-developmentgenerative-aidistributed-systemsmachine-learning
Amazon Private Brands (APB) is reinventing Product Lifecycle Management (PLM) with AI at its core. Private Brands Central (PBC) is our PLM platform, and we're building a new generation of AI-native experiences, from Gen AI copilots that accelerate new product development to agentic workflows that automate the manual, high-dwell steps in bringing a product to market. This is a chance to put Gen AI to work on real, high-volume product workflows and see the efficiency gains land.

We are looking for an experienced Software Development Engineer III who's comfortable at all levels of the stack to design, build, and operate AI-powered systems at Amazon scale. Whether it's building customer-facing experiences in React, creating Java-based web APIs, or embedding Gen AI and agentic capabilities into sourcing, quality, sustainability, and detail-page workflows, this is a hands-on technical leadership role. You will own complex, ambiguous problems end to end, drive architecture and design decisions for AI-native systems, and partner with a leading 3P PLM solution to build out an integrated, AI-enabled platform. Your work will directly shape how thousands of APB products are sourced, developed, and launched.

Key job responsibilities
- Design, build, test, and operate full-stack AI-powered systems across the PBC PLM platform, including Gen AI copilots and agentic workflows.
- Lead architecture and technical design for embedding Gen AI, LLMs, and automation into new product development workflows, working backwards from customer needs.
- Solve challenging problems involving distributed systems, agentic orchestration, performance, scalability, and reliability.
- Drive technical decisions across team and 3P-vendor boundaries to deliver integrated, AI-enabled capabilities.
- Own your systems end to end, including production operations, model behavior, and operational excellence.
- Mentor engineers on AI-native design patterns and raise the team's technical bar.

A day in the life
You'll balance hands-on delivery with the technical leadership the team relies on across development cycles measured in weeks, not years. Your day involves designing and reviewing complex systems, collaborating with engineers and applied scientists on Gen AI design decisions, and aligning with APB business partners and the 3P vendor on integrated PLM delivery. You'll spend time mentoring engineers, unblocking hard technical problems, and setting the standards that let the team ship AI-powered experiences customers can feel.

About the team
This team builds functional modules within the Private Brands Central Product Lifecycle Management tool to accelerate speed to market for new product development for Amazon Private Brands (APB) and reduce dwell time for specific processes, increasingly powered by Gen AI and automation. Examples include: developing an externalized module for sourcing Request For Quotations (RFQs) from APB suppliers, launching an automated process to manage sustainability and quality related claims for APB products, and automating ASIN and Detail Page creation on Amazon systems. The team is partnering with a 3P solution to build out an integrated PLM tool with an industry-leading software solution.

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience building complex software systems that have been successfully delivered to customers, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Experience in similar environments, or experience working with and managing third party vendors

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. 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.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.



CAN, BC, Vancouver - 150,700.00 - 251,700.00 CAD annually

How we rate this

Senior Software Development Engineer, Amazon Private Brands at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Skills and AI tools this role asks for

AI AgentsFull Stack DevelopmentGenerative AIDistributed SystemsMachine LearningReactJavaLLMs

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  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where machine learning was part of your work. What did you do?

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