Sr. Software Development Engineer, Conversational Ad Experiences
Job Location:
Job Location:
Seattle, WA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
7 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Department:
Job Summary
Define the architecture of conversational advertising powered by Large Language Modelsan entirely new category that doesnt exist yet. As a Senior SDE on the CAX (Conversational Ad Experiences) team youll lead the technical vision for industry-first sponsored conversational shopping experiences on Amazon Search impacting hundreds of millions of shoppers worldwide.
This isnt incremental work. The CAX team is building from zero-to-one: LLM-powered ad experiences that fundamentally change how brands connect with customers in real time. As a senior engineer you will own the technical direction for ambiguous high-impact initiativesdesigning large-scale distributed systems building ML infrastructure and LLMOps pipelines and partnering directly with science to bring large language models into production. Youll set the engineering bar for the team while shipping customer-facing experiences at Amazons global scale.
Why choose this role:
- Greenfield GenAI Youre not maintaining legacy systems; youre architecting industry-first conversational ad experiences from scratch
- Technical leadership Own architecture decisions drive system design and influence the teams technical roadmap
- LLMs in production at scale Partner with science to operationalize large language models serving hundreds of millions of shoppers
- Outsized business impact SPB drives incremental sales for millions of advertisers; your systems directly shape revenue outcomes
- Ambiguity as opportunity Undefined problem spaces where senior engineers thrive and have the most influence
Key job responsibilities
- Lead the design and architecture of net-new conversational ad experiences on the Amazon Search page making critical technical decisions that define system direction
- Drive major product and engineering initiatives end-to-end from ambiguous problem definition through production deployment and operational excellence
- Architect and build large-scale low-latency distributed systems and ML infrastructure that power LLM-driven ad experiences at global scale
- Partner with the science team to implement large language models in production and build robust LLMOps capabilities
- Design and own data processing pipelines that support real-time personalized conversational experiences for hundreds of millions of shoppers
- Pioneer new technical approaches to conversational AI and natural language interactions in advertising raising the bar for whats possible
- Collaborate with and influence cross-functional teams (product science design) to integrate AI-driven solutions across the advertising ecosystem
- Mentor engineers drive technical excellence through design and code reviews and establish engineering best practices for the team
- Navigate ambiguity to break down complex undefined problems into actionable technical strategies with clear milestones
- Shape the long-term technical vision for how businesses connect with customers through AI-powered advertising
What were looking for:
- Deep expertise in building and operating large-scale distributed systems in production
- Passionate about Generative AI Large Language Models and bringing them from research to real-world applications
- Proven ability to lead technical initiatives in ambiguous environments and drive clarity for the team
- Track record of delivering innovative high-impact solutions that influence product and business direction
- Strong mentorship instinctsyou elevate the engineers around you
- Enthusiasm for staying at theforefront of the rapidly evolving AI landscape
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 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 lifecyclefrom 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 youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
- 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
- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
This isnt incremental work. The CAX team is building from zero-to-one: LLM-powered ad experiences that fundamentally change how brands connect with customers in real time. As a senior engineer you will own the technical direction for ambiguous high-impact initiativesdesigning large-scale distributed systems building ML infrastructure and LLMOps pipelines and partnering directly with science to bring large language models into production. Youll set the engineering bar for the team while shipping customer-facing experiences at Amazons global scale.
Why choose this role:
- Greenfield GenAI Youre not maintaining legacy systems; youre architecting industry-first conversational ad experiences from scratch
- Technical leadership Own architecture decisions drive system design and influence the teams technical roadmap
- LLMs in production at scale Partner with science to operationalize large language models serving hundreds of millions of shoppers
- Outsized business impact SPB drives incremental sales for millions of advertisers; your systems directly shape revenue outcomes
- Ambiguity as opportunity Undefined problem spaces where senior engineers thrive and have the most influence
Key job responsibilities
- Lead the design and architecture of net-new conversational ad experiences on the Amazon Search page making critical technical decisions that define system direction
- Drive major product and engineering initiatives end-to-end from ambiguous problem definition through production deployment and operational excellence
- Architect and build large-scale low-latency distributed systems and ML infrastructure that power LLM-driven ad experiences at global scale
- Partner with the science team to implement large language models in production and build robust LLMOps capabilities
- Design and own data processing pipelines that support real-time personalized conversational experiences for hundreds of millions of shoppers
- Pioneer new technical approaches to conversational AI and natural language interactions in advertising raising the bar for whats possible
- Collaborate with and influence cross-functional teams (product science design) to integrate AI-driven solutions across the advertising ecosystem
- Mentor engineers drive technical excellence through design and code reviews and establish engineering best practices for the team
- Navigate ambiguity to break down complex undefined problems into actionable technical strategies with clear milestones
- Shape the long-term technical vision for how businesses connect with customers through AI-powered advertising
What were looking for:
- Deep expertise in building and operating large-scale distributed systems in production
- Passionate about Generative AI Large Language Models and bringing them from research to real-world applications
- Proven ability to lead technical initiatives in ambiguous environments and drive clarity for the team
- Track record of delivering innovative high-impact solutions that influence product and business direction
- Strong mentorship instinctsyou elevate the engineers around you
- Enthusiasm for staying at theforefront of the rapidly evolving AI landscape
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 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 lifecyclefrom 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 youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
- 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
- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
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 for more information. If the country/region youre applying in isnt 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&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 WA SEATTLE - 168100.00 - 227400.00 USD annually
Required Experience:
Senior IC
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