Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Seattle, Washington, United States New York, New York, United States
- Work arrangement
- On-site
- Experience
- Senior Level 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
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Role Summary
The Senior Software Development Engineer will set the technical direction for LLM-powered conversational ad experiences on Amazon’s Search page. The role builds and operates the distributed systems and ML infrastructure behind those experiences and partners with science, engineering, and product teams to bring models into production.
What You'll Do
- Set architectural direction and make foundational technical decisions for conversational ad experiences on the Search page.
- Build large-scale, low-latency distributed systems and ML infrastructure for LLM-driven advertising in production.
- Partner with the science team to implement and deploy LLM models, and help monitor and improve them through LLMOps.
- Evaluate and adopt emerging technologies for conversational AI and natural language interactions in advertising.
- Collaborate across engineering, science, and product teams to integrate AI-driven solutions across the advertising ecosystem.
- Design and operate scalable personalized ad systems, mentor engineers, and establish engineering best practices.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: 5+ years of non-internship professional software development experience; 5+ years of programming experience with at least one software programming language; 5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling; experience as a mentor, tech lead, or leading an engineering team.
Preferred
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes,...
- Bachelor's degree in computer science or equivalent
Original job description
Content provided by the employer
Original job description
Content provided by the employer
The Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB) focuses on LLM-powered sponsored shopping experiences that help merchants, retail vendors, and brand owners grow incremental sales through native product advertising. The team is working on multiple industry-first projects — ambiguous, challenging, and high-impact. You'll drive major product and engineering initiatives, partner with the science team to implement LLM models in production and contribute to LLMOps, and build the data processing pipelines that power it all. These are greenfield problems where you'll set the technical direction and establish the engineering practices that scale as the product grows.
Key job responsibilities
- Own the architectural direction for conversational ad experiences on the Search page, making foundational technical decisions that shape the product long-term
- Build large-scale, low-latency distributed systems and ML infrastructure that power LLM-driven advertising experiences in production
- Partner with the science team to implement LLM models in production and contribute to LLMOps — driving the technical strategy for how models are deployed, monitored, and improved
- Pioneer new approaches to conversational AI and natural language interactions in advertising, evaluating and adopting emerging technologies
- Drive cross-functional collaboration across engineering, science, and product teams to integrate AI-driven solutions across the advertising ecosystem
- Design and operate scalable systems that deliver personalized ad experiences to hundreds of millions of shoppers
- Mentor engineers, establish engineering best practices, and raise the technical bar across the team
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
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
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&D 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.