AI-Driven Autonomous Campaigns Engineer (Sponsored Ads)

Amazon; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Ads' Sponsored Products and Brands team is building an agent execution engine to power autonomous campaigns at scale. You will design infrastructure for LLM reasoning, multi-step orchestration, and reinforcement learning to enable agents to plan, reason, and act across advertiser workflows.

You will work with senior engineers and scientists to productionize research, deploying LLMs, RL, and agent architectures in a cloud-native environment to solve real customer problems.

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
• Experience with AI/ML technologies

Responsibilities

• Implement core services and APIs for agent orchestration, tool invocation, and state management
• Build scalable, reusable data and tool registry systems that enable agents to reason across complex workflows
• Build components of evaluation pipelines (offline/online) for measuring reasoning quality, advertiser outcomes, and safety guardrails
• Develop infrastructure to support fine-tuning and reinforcement learning pipelines, collaborating with scientists to productionize workflows
• Ensure performance, scalability, observability, and maintainability through strong engineering practices
• Participate in system design, code reviews, and team architecture discussions
• Continuously learn and apply new techniques in agentic frameworks, distributed systems, and cloud-native development

Job description

Amazon Ads' Sponsored Products and Brands team is building an agent execution engine to power autonomous campaigns at scale. You will design infrastructure for LLM reasoning, multi-step orchestration, and reinforcement learning to enable agents to plan, reason, and act across advertiser workflows.

You will work with senior engineers and scientists to productionize research, deploying LLMs, RL, and agent architectures in a cloud-native environment to solve real customer problems.