Amazon Advertising is one of Amazons fastest growing and most profitable businesses responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle.
We are building a conversational AI assistant that empowers data engineers analysts and business stakeholders to interact with our vast advertising data lake through natural language. Using state-of-the-art generative AI SpektrBot enables teams to generate insights faster by translating natural language queries into accurate trusted data retrievals eliminating the friction between questions and answers.
As an SDE II on this team you will be at the center of designing building and scaling the systems that power this conversational AI experience. You will architect robust backend services build reliable integrations with large language models (LLMs) develop retrieval-augmented generation (RAG) pipelines and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists product managers and fellow engineers in a fast-paced high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data.
This is a rare opportunity to build a 0-to-1 product at Amazons scale one that sits at the intersection of generative AI data engineering and conversational interfaces. If you are passionate about building production-grade AI-powered systems thrive in ambiguity and want to see your work used every day by teams across Amazon Advertising wed love to talk to you.
At Amazon an SDE can expect to design flexible and scalable solutions and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures algorithms and object oriented programming. Coming to Amazon gives you the opportunity to work on a small development team in one of our many organizations; Amazon Web Services ecommerce Services Kindle Marketplace Operations Platform Technologies and Retail.
Key job responsibilities
- Design and build scalable services that power SpektrBots conversational AI platform including query orchestration context management session handling and response generation pipelines
- Engineer RAG architectures build and optimize retrievers vector stores embedding pipelines and metadata indexing systems to ensure accurate and contextually relevant data retrieval from our advertising data lake
- Integrate and operationalize LLMs build the infrastructure for prompt management model routing multi-agent orchestration and chain-of-thought workflows that enable natural multi-turn conversations
- Build automated evaluation and feedback loops design systems that continuously measure response accuracy detect regressions and feed corrections back into the system to drive improvement over time
- Develop SQL generation and validation pipelines engineer the end-to-end flow from natural language intent to generated SQL including guardrails query validation and result verification to ensure trusted outputs
- Build tooling for metadata auto-curation create LLM-powered tools that automatically enrich classify and maintain the metadata catalog that underpins accurate data retrieval
- Collaborate with applied scientists to productionize NLP/NLU models and integrate them into the bots overall architecture
- Own systems end-to-end from design through deployment monitoring alarming and operational excellence in a production environment serving internal customers at scale
A day in the life
You might start by reviewing your automated evaluation dashboard investigating a flagged drop in SQL generation accuracy and shipping a fix. After lunch you pair with an applied scientist to integrate a new intent classification model into the orchestration layer ensuring graceful fallback behavior. Later you lead a design review for a multi-agent architecture that breaks complex user questions into parallel sub-queries. You end the day improving prompt templates based on user feedback patterns. Every day brings a different problem but the thread is always building AI-powered systems that are accurate reliable and delightful to use.
About the team
You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.
- 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
- 1 years of designing and developing large-scale multi-tiered multi-threaded embedded or distributed software applications tools systems and services using: C# C Java or Perl experience
- 1 years of Object Oriented Design experience
- Experience programming with at least one software programming language
- 4 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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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 CA Santa Clara - 165200.00 - 223600.00 USD annually
USA NY New York - 158100.00 - 213800.00 USD annually
USA WA Seattle - 143700.00 - 194400.00 USD annually