Software Development Engineer II, Sponsored Products Autonomous Campaigns

We are looking for a Software Development Engineer to help build and scale the infrastructure powering our agentic autonomous this role you will design and implement core components of the agent execution engine evaluation pipelines and model tuning infrastructure that enable agents to reason plan and act across complex advertiser workflows. You will work closely with senior engineers and applied scientists to translate research prototypes into robust high-performance production systems. You will need to dive deep into new technologiessuch as LLM deployment frameworks reinforcement learning infrastructure and multi-step reasoning orchestrationand quickly apply them to solve real customer problems. You will own well-defined but often ambiguous technical problems ensuring your solutions are scalable reliable and directly contribute to advertiser-facing products. This role is highly impactful: your contributions will form the backbone of the systems that deliver personalized context-aware guidance to millions of advertisers. You will collaborate across science product and platform teams and your work will focus on building resilient observable and maintainable systems that accelerate innovation in agent-based AI.

Key job responsibilities
- Implement core services and APIs for agent orchestration tool invocation and state management.
- Build scalable reusable data and tool registry
- 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.

About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
The Autonomous Campaigns team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale the complexity of diverse advertiser goals campaign types and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazons retail ecosystem.
Our vision is to build a highly personalized context-aware campaign creation and management system that leverages LLMs together with tools such as auction simulations ML models and optimization algorithms. This agentic framework will operate across both chat and non-chat experiences in the ad console scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision we collaborate closely with stakeholders across Ad Console Sales and Marketing to identify opportunitiesfrom high-level product guidance down to granular keyword recommendationsand deliver them through a tailored personalized experience. Our work is grounded in state-of-the-art agent architectures tool integration reasoning frameworks and model customization approaches (including tuning MCP and preference optimization) ensuring our systems are both scalable and adaptive.

- 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

- 3 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.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.