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Amazon

Software Development Engineer, Ads AI Core Infra (ACI)

Amazon is hiring a Software Development Engineer, Ads AI Core Infra (ACI) in Seattle, United States. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • The posting mentions AWS, Ecs and Fargate among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.
  • Posted within the past week.

AI in this role

Design and implement scalable distributed systems and AI infrastructure to power generative AI agent interactions for Amazon Advertising.

awsecsfargateec2emrlambdakafkaelasticsearchdynamodbsqssnscdk
ai-agentsdistributed-systemsapi-developmentgenerative-aiagentic-systemssystem-design
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering AI-powered solutions that transform how advertisers make strategic decisions. We deliver billions of ad impressions and process massive volumes of advertiser data every single day. You'll work with us to pioneer breakthrough approaches in how AI agents access and reason over real-time advertiser data at scale.

The Campaign Management team is responsible for capturing inputs for advertisers to control their advertising efforts. You can think of our team as the brain and nervous system of all the advertisements you see on amazon.com. We build large scale, high velocity distributed systems to service 100’s of millions of API requests per day, steam data at PB scale, process business logic on tight latency budgets, all while streaming and the data at high fidelity to 20+ other services to perform other critical advertising functions. We stand up world class CI/CD pipelines to deploy our service automating infrastructure provisioning, high volume load testing and first-rate monitoring so our engineers can keep their heads down inventing for our advertisers. Our problem space covers concurrent workflows across distributed systems (linearizability, eventual consistency), big data problems (propagation delay, ordering and hygiene) and performance (search optimization). Our team uses the latest AWS products and services to solve our problems including but not limited to: ECS, Fargate, EC2, EMR, Lambda, Kafka, Elastic Search, Dynamo DB, SQS, SNS, Cloud watch, CDK, Cloud Formation and many more.

We are using generative AI and agentic systems to help advertising agents provide instant, strategic advice to millions of advertisers. You will need to invent new techniques for global ads experience, agent orchestration, and context optimization to ensure we're delivering accurate, trustworthy insights with minimal latency and token consumption. You'll create feedback loops to ensure our solutions are constantly evaluating themselves and improving.

Key job responsibilities
- Design and implement scalable architectures for APIs serving millions of advertisers at thousands of transactions per second
- Build Model Context Protocol (MCP) server infrastructure—an emerging standard for AI agent-data interaction—that delivers advertiser context with sub-second latency and minimal token consumption
- Establish system design patterns and best practices for global ads experience at scale

Basic qualifications

- 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
- Experience programming with at least one software programming language

Preferred qualifications

- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Software Development Engineer, Ads AI Core Infra (ACI) at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsDistributed SystemsAPI DevelopmentGenerative AIAgentic SystemsSystem DesignAWSEcs

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where api development was part of your work. What did you do?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Tell me about a project where agentic systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Distributed Systems, API Development, Generative AI, and Agentic Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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