Sr. Software Development Engineer, Amazon Seller Assistant

Amazon Inc.; Seattle (WA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

health insurance

401(k) matching

paid time off

parental leave

Job summary

Amazon Seller Assistant is seeking a Sr. Software Development Engineer to lead the design and development of agentic software systems across the full lifecycle, owning architectural direction for multi‑agent services and guiding technology choices.

You will collaborate with scientists, engineers, and product managers to translate GenAI research into reliable seller‑facing features. You will mentor engineers, drive best practices, and contribute to team growth while evaluating AI tooling

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 of new and existing systems.

Responsibilities

• Lead the design and development of agentic software systems across the full lifecycle — from design to deployment and maintenance.
• Own your team's architectural direction for multi-agent services and guide technology choices.
• Collaborate with applied scientists, partner engineering teams, and product managers to translate GenAI research into production‑grade features.
• Mentor and coach engineers, drive engineering best practices, and contribute to team growth.

Skills

Software development

Programming languages

Architecture leadership

Mentoring

Education

Bachelor's degree in computer science

Job description

Sr. Software Development Engineer, Amazon Seller Assistant

Job ID: 10567398 | Amazon.com Services LLC

Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.

Key job responsibilities

Lead the design and development of agentic software systems across the full lifecycle — from working backwards on a seller problem through technical design, implementation, testing, deployment, and ongoing maintenance.

Own your team's architectural direction for multi-agent services, influence technical decisions in dependent systems, and guide technology choices by evaluating tradeoffs in scalability, extensibility, performance, and security.

Collaborate with applied scientists, partner engineering teams, and product managers to translate GenAI research into reliable, production‑grade seller‑facing features.

Mentor and coach multiple engineers, drive adoption of engineering best practices, and contribute to team growth through recruiting, technical assessments, and career guidance.

Evaluate when and how to integrate generative AI tooling into development workflows, refine model outputs using responsible practices, and apply well‑chosen data structures and algorithms to solve problems efficiently.

A day in the life

You start by reviewing a technical design document from a teammate, sharpening the approach before the team commits to implementation. Later, you lead a working session with engineers from a partner team to align on an interface contract between your services. After lunch, you write code for a critical agentic component, applying patterns that others on your team will reference as they build adjacent features. You wrap up by pairing with a junior engineer on a tricky debugging session, turning it into a coaching moment.

About the team

Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce — not as a research group, but as a team shipping production‑grade, multi‑agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the world's most customer‑obsessed company, transforming the latest breakthroughs in science and engineering into capabilities that sellers rely on every day.

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 identifying opportunities to integrate AI solutions into products and services to drive business value
• Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI‑generated outputs in a professional setting

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. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Amazon also offers comprehensive benefits including:

• health insurance (medical, dental, vision, prescription, Basic Life & AD&DD insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

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 identifying opportunities to integrate AI solutions into products and services to drive business value
• Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI‑generated outputs in a professional setting

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. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.