Job Description
Application deadline: Sep 26, 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.
Numbers & Facts
| Location | Boulder, CO |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
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