Are you interested in building high-performance, globally scalable automation solutions — including AI-driven agentic workflows — that support Amazon Ads' current and future growth? Are you seeking an environment where you can drive innovation by leveraging the scalability and breadth of Amazon's AWS cloud services and cutting-edge generative AI capabilities? Do you have a passion for eliminating manual toil, enabling intelligent decision-making, and ensuring a seamless internal customer experience? This is the job for you. Key job responsibilities Interact with business customers and Ads operations teams to understand, document, and prioritize their business processes and automation requirements. Perform gap analysis to determine the optimal automation approach — rule-based RPA, scripted automation, API integration, agentic AI, or a hybrid — for each use case. Design, code, test, and deploy automation solutions (including AI agent workflows) following Amazon's engineering and responsible AI standards. Build and maintain agent orchestration layers that manage agent planning, tool selection, memory/context management, and human-in-the-loop escalation. Work with business customers, developers, applied scientists, and partner teams to troubleshoot, document, and resolve system issues. Define and track key metrics (hours saved, error rates, SLA adherence, agent accuracy, human escalation rates) to measure automation impact and continuously improve. Participate in on-call rotations to support production automation and agent workflows as needed. Basic Qualifications - Experience in automating, deploying, and supporting infrastructure - 5+ years of contributing to automation for new and current system experience - Experience with automating and simplifying team development, test, and operations processes - Experience programming or scripting language like Python, Java, C or C++ - Experience with iterative, agile development methodologies (including scrum) - Bachelor's degree or above in computer science, computer engineering, or related field - Knowledge of distributed, multi-tiered systems, algorithms, and relational databases - Knowledge of and proficiency in the use of Python scripting language Preferred Qualifications - Experience with CI/CD pipelines build processes

About Amazon Web Services (AWS)

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.