Job description

Application deadline: Oct 6, 2026 Build the AI-powered conversational agent that's transforming how advertisers interact with their data—replacing SQL queries and complex UIs with natural language that simply works. You'll work at the intersection of large language models, distributed systems, and petabyte-scale advertising data, shipping a high-visibility product at the forefront of generative AI in advertising. We're looking for a Software Development Engineer II who is excited to solve hard, novel problems: natural language understanding, data accuracy at scale, agent evaluation, and translating complex analytical workflows into intuitive AI-driven experiences. In this role, you will: - Design and build core backend services powering an LLM-based conversational assistant for Amazon Marketing Cloud - Own end-to-end delivery of features—from system design through production deployment and operational excellence - Build scalable data pipelines and infrastructure that ingest and process petabyte-scale advertising data from multiple sources - Shape the future of how advertisers generate insights, build audiences, and optimize campaigns through AI This is a fast-paced, ownership-driven environment where you'll collaborate across science, product, and engineering to ship products that directly impact how millions of advertisers succeed on Amazon. Who We're Looking For We seek someone with a strong coding foundation and experience building distributed systems at scale—someone energized by ambiguity and fast-moving problem spaces. Ideal candidates bring curiosity about LLM-based applications and a track record of delivering customer-facing products end to end. Experience with advertising technology, analytics platforms, or AWS services is a plus. Key job responsibilities AI Assistant Platform - Design, develop, and maintain backend services powering the AMC conversational assistant - Build and optimize LLM orchestration pipelines including prompt engineering, tool use, and agent workflows - Develop APIs and integrations with AMC's query engine, reporting services, and audience management systems - Collaborate with applied scientists to integrate ML models and improve response quality - Contribute to the evaluation framework—designing metrics, building ground truth datasets, and improving agent accuracy Data Infrastructure - Implement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs) - Build ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns - Create and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently - Implement data quality checks, validation logic, and monitoring for data pipelines and services - Optimize performance and cost efficiency of data processing jobs and queries Engineering Excellence - Own end-to-end delivery of features from design through production deployment - Write clean, well-tested code and participate in code reviews to maintain high engineering standards - Improve system reliability, latency, and scalability as the product scales to more advertisers - Debug and resolve production issues, participating in on-call rotations as needed - Document systems, processes, and runbooks to support operational excellence - Collaborate with senior engineers to contribute to design discussions and architectural decisions About the team The Amazon Marketing Cloud (AMC) Assistant team is building an AI-powered conversational agent that helps advertisers interact with AMC through natural language. We are developing LLM-based experiences that simplify complex analytical workflows—enabling advertisers to generate insights, build audiences, and optimize campaigns without writing SQL or navigating complex UIs. Our work sits at the intersection of generative AI, advertising technology, and large-scale data systems. - 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 software development engineer or related occupational 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 - 3+ 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 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 amazon.jobs 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&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 amazon.jobs . USA, CO, Boulder - 143,700.00 - 194,400.00 USD annually

Requirements

Must-haves

Application deadline: Oct 6, 2026
Design and build core backend services powering an LLM-based conversational assistant for Amazon Marketing Cloud
Own end-to-end delivery of features—from system design through production deployment and operational excellence
Build scalable data pipelines and infrastructure that ingest and process petabyte-scale advertising data from multiple sources
Shape the future of how advertisers generate insights, build audiences, and optimize campaigns through AI
This is a fast-paced, ownership-driven environment where you'll collaborate across science, product, and engineering to ship products that directly impact how millions of advertisers succeed on Amazon.
Who We're Looking For
Key job responsibilities
AI Assistant Platform
Design, develop, and maintain backend services powering the AMC conversational assistant
Build and optimize LLM orchestration pipelines including prompt engineering, tool use, and agent workflows
Develop APIs and integrations with AMC's query engine, reporting services, and audience management systems
Collaborate with applied scientists to integrate ML models and improve response quality
Contribute to the evaluation framework—designing metrics, building ground truth datasets, and improving agent accuracy
Data Infrastructure
Implement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs)
Build ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns
Create and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently
Implement data quality checks, validation logic, and monitoring for data pipelines and services
Optimize performance and cost efficiency of data processing jobs and queries
Engineering Excellence
Own end-to-end delivery of features from design through production deployment
Write clean, well-tested code and participate in code reviews to maintain high engineering standards
Improve system reliability, latency, and scalability as the product scales to more advertisers

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aisqlllmawsmljava

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave