This role focuses on building AI agents to optimize end-to-end workflows for Amazon's Advertising Sales organization. It involves applying expertise in NLP, LLMs, Deep Learning, Reinforcement Learning, and Recommender Systems to create and refine production-ready models, with a strong emphasis on autonomous agents operating at scale. The scientist will also collaborate with engineering and product teams, conduct A/B experiments, and contribute to scientific publications.

Applied Scientist role focused on building AI/ML solutions for Amazon's Advertising Sales business. The role involves developing and implementing models for insights, recommendations, and generative AI-powered workflows to improve sales team efficiency and customer success. It requires expertise in quantitative modeling, deep learning, RL, and NLP, with a focus on production deployment and A/B experimentation.

Senior GenAI & ML Specialist Solutions Architect for AWS, focusing on Automotive & Manufacturing. This role involves customer-facing pre-sales, designing and deploying Generative AI and ML solutions on AWS, and engaging with enterprise customers and partners. Requires deep technical expertise in ML, LLMs, RAG, fine-tuning, prompt engineering, agents, and AIOps, along with strong software engineering and cloud architecture skills.

This role focuses on building and presenting generative AI demonstrations for AWS customers, educating them on AI technologies and providing architectural guidance for solutions involving AWS services and partner offerings. The role involves creating industry-grade demos, delivering compelling tours, and facilitating hands-on experiences to drive customer engagement and pipeline opportunities.

Software Development Engineer role focused on building and deploying ML and GenAI models to resolve disruptions in Amazon's Middle Mile Transportation network. The role involves developing intelligent systems for predictive analytics and automation, operating high-volume, low-latency services, and collaborating with stakeholders.

Senior Generative AI Specialist Solutions Architect for AWS Brazil. The role involves helping clients build and deploy GenAI applications using Amazon Bedrock and SageMaker, fine-tuning and creating GenAI models, and enabling enterprise clients to leverage these models for end-user applications. The position also includes influencing product direction and helping clients enter new markets with GenAI. The role requires deep technical expertise in multimodal generative image technologies, fine-tuning, and prompt engineering, with a preference for strong ML development experience and experience building applications and designing architectures. The individual will act as a subject matter expert, evangelize AWS GenAI services, partner with internal teams, and provide customer feedback to product and engineering teams.

Software Development Engineer II role focused on building AI agent infrastructure for Amazon Advertising. The role involves designing and implementing scalable real-time data ingestion and processing pipelines to provide advertiser context to AI agents with sub-second latency. Key responsibilities include architecting data services, optimizing performance, and leveraging AI coding agents for development. The role operates at the intersection of real-time data engineering and AI agent infrastructure, aiming to deliver immediate, strategic advice to advertisers.

Software Development Engineer role focused on building intelligent systems powered by ML and GenAI to resolve transportation disruptions. The role involves building and deploying ML models for predictive analytics and leveraging generative AI for automation and decision support within Amazon's Middle Mile Transportation Technology team.

Senior Solutions Architect for Generative AI and ML workloads in the Automotive & Manufacturing sector, focusing on customer adoption of AWS services. This role involves translating business challenges into technical solutions, designing and deploying architectures, engaging with enterprise customers and partners, and providing feedback to product teams. Requires deep technical expertise in ML, LLMs, RAG, fine-tuning, agents, and AIOps, along with strong business acumen for customer engagements.

Applied Scientist role focused on developing Agentic AI solutions using Gen AI within AWS Applied AI Solutions. The role involves extending scientific techniques, inventing new ones, and delivering components into production with high quality standards. Requires experience in building models for business applications and strong programming skills.

Applied Scientist II role focused on building and implementing machine learning models for financial fraud, theft, abuse, and waste detection within Amazon's financial systems. The role involves research, development, and production deployment of ML solutions, with a focus on analyzing large datasets and creating scalable solutions.

Senior Software Development Engineer role focused on building and owning the design and delivery of critical infrastructure components for AI agents in Amazon Ads. This includes an agent-builder SDK, agent-builder tools, and a managed runtime, enabling advertisers to build and deploy AI agents at scale. The role involves working at the intersection of distributed systems, ML infrastructure, and developer tooling, defining technical strategy for scalable platforms in an emerging space.

This role focuses on developing and customizing ECAD applications, with a significant emphasis on integrating AI/ML technologies to enhance design processes. The engineer will lead the customization and extension of Cadence applications, explore AI-based design review and generation capabilities, and collaborate with AI/ML teams to integrate LLMs and ML into ECAD workflows. The goal is to enable intelligent automation and design assistance in hardware engineering.

Senior Software Development Engineer role focused on building innovative solutions for brand measurement in Amazon Ads, leveraging generative AI and machine learning to optimize advertising performance and deliver AI-driven insights to advertisers.

This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, aiming to redefine intelligent conversational experiences. The engineer will lead the development and scaling of real-time agentic AI solutions, collaborate with cross-functional teams, and ensure high quality and customer experience.

Senior Data Scientist role at AWS ProServe focused on designing, implementing, and scaling AI/ML and Generative AI solutions for enterprise customers. The role involves working directly with clients to understand their needs, develop statistical models, select and train models, and guide them through their AI transformation journey. Requires strong expertise in data science, ML, generative AI, and AWS cloud services, with a focus on delivering customer success and business value through AI.

This role focuses on building and operating Amazon's customer behavior analytics and targeting systems, specifically inventing and scaling agentic analytics and targeting. The goal is to create an AI-powered content targeting ecosystem where human and AI agents collaborate, driving efficiency across the entire lifecycle. The role involves building at scale, ensuring customer experience, safety, security, data integrity, and implementing correctness and accuracy measurements and guardrails for agentic actions.

Senior Applied Scientist role focused on designing and evaluating algorithms for predictive modeling and optimization in large-scale transportation planning systems. This involves developing novel machine learning and AI techniques to improve marketplace optimization solutions, working closely with business leaders and engineers to build scalable products, and implementing models within production systems.

Software Development Engineer Intern role focused on building AI-powered features for the OpenSearch platform. Responsibilities include developing code, designing distributed systems, and applying AI/ML techniques to enhance search relevancy and performance. The role involves contributing to an agent framework for intelligent data analysis and optimizing user interactions, with a secondary focus on the underlying inference systems.

This role focuses on developing and deploying advanced ML/AI technologies for Amazon's catalog expansion, involving information extraction, web crawling, and comprehension using deep learning, NLP, and image processing. The scientist will build scalable systems to extract and structure information from the web, including visually rich documents, and work with LLMs/SLMs and agentic systems. The role requires a strong foundation in ML model development, deployment, and collaboration with software engineering teams.

Senior Software Engineer role focused on architecting and building next-generation robotic systems for warehouse automation. The role involves designing motion planning algorithms, developing vision-guided manipulation systems, and orchestrating complex multi-step workflows using behavior trees or state machines. Experience with robotics middleware (ROS/ROS2) and ML frameworks is preferred.

This role focuses on designing and implementing generative AI solutions for enterprise customers in Mexico, leveraging AWS technologies. The Senior Generative AI Solutions Architect will guide customers on AI architecture, security, data governance, and operational best practices, while also creating technical artifacts, workshops, and content. Key responsibilities include architecting solutions for multi-agent orchestration, RAG, and chat-based assistants, and helping customers navigate regulatory frameworks and achieve production readiness.

This role focuses on enabling Private Equity (PE) firms and their portfolio companies to leverage Generative AI and Machine Learning to solve business challenges. The Solutions Architect will design and architect end-to-end AI/ML solutions, including AI agents and RAG applications, using AWS AI services. The role involves partnering with PE firms, understanding business requirements, and guiding customers in architecting enterprise-grade GenAI solutions.

Data Scientist II at Amazon Private Brands focused on applying Generative AI, Machine Learning, Statistics, and Economics to product assortment, business decisions, and product inputs. The role involves investigating business problems, inventing novel solutions, prototyping, and deploying production software, with research areas including NER, product substitutes, pricing optimization, agentic AI, and LLMs. The Data Scientist will also guide other scientists and publish research.

This role focuses on prompt engineering for Generative AI and LLMs, involving the full prompt lifecycle from concept to production. Responsibilities include developing Python code, managing CI/CD pipelines, architecting contextual frameworks, and testing prompts to enhance AI performance and address real-world challenges like counterfeit detection within the Trustworthy Shopping Experience team.

Software Development Engineer III role at Amazon, focused on building and optimizing the core components of the Amazon Quick Suite, an AI-powered assistant for enterprise productivity. The role involves leveraging generative AI to transform how businesses operate by answering questions, providing summaries, generating content, and completing tasks securely based on enterprise data, with a strong emphasis on unifying disparate data sources through secure connectors.

Software Development Engineer role focused on building a new Generative AI application (QuickSuite) for enterprises within AWS. The role involves translating requirements into deliverables, prototyping, designing, developing, and deploying scalable services, and mentoring junior engineers. It's an early-stage initiative with a focus on solving complex technical challenges in AI.

Research Engineer on the AWS Agentic AI team building a new Generative AI application called QuickSuite for enterprises. The role focuses on defining, designing, and leading the development of tools to accelerate science experimentation and the delivery process, bridging the gap between science and engineering for faster production.

Senior Software Development Engineer to build a new Generative AI application (QuickSuite) for enterprises, focusing on developing scalable and reliable distributed services. The role involves translating requirements into deliverables, prototyping, and mentoring other engineers.

Software Development Engineer role focused on building internal tools and external solutions for 3P Sellers using generative and agentic AI. The role involves working with product managers and other engineering teams to create and execute a roadmap of user experiences, incorporating the latest developments in generative AI to deliver agentic AI solutions.

Senior Data Scientist role focused on developing and deploying machine learning models and AI agents for logistics optimization, fraud detection, and revenue management. The role involves end-to-end model development, from data analysis to production deployment and monitoring, with a focus on agentic AI systems and ML-powered fraud detection.

Senior Data Scientist/BI Engineer at Amazon FBA EU Analytics to own high-impact BI, science, and AI initiatives. Develop and deploy scalable AI solutions including machine learning models, causal inference, and optimization algorithms to improve seller experience, ensure compliance, and optimize fulfillment economics. Partner with Product, Tech, Operations, Finance, and Legal/Compliance to translate business problems into scientific questions and productionized solutions. Leverage Generative AI and LLMs for various use cases. Drive experimentation and decision science at scale, and mentor other scientists.

Applied Scientist II at Amazon Shipping focused on building production-quality ML models for transportation logistics. This role involves improving package movement planning and execution by addressing challenges in cost auditing, financial data quality, delivery delay prediction, and first-mile shipping cost reduction. The scientist will utilize various ML paradigms, ensure scalability across regions, and contribute to the ML community through publications and mentorship.

Senior Software Development Manager for Kiro, an intelligent development environment focused on Agentic AI systems. The role involves leading engineering teams to build innovative AI products from the ground up, partnering with ML science teams, and working at the intersection of AI and cloud services. The focus is on building foundational AI services and agentic systems for enterprise customers.

Software Development Engineer role focused on applying Generative AI and LLMs to enhance Amazon Ads, improving ad retrieval, allocation, and recommendations for a personalized shopping experience. The role involves building large-scale distributed systems and data pipelines, collaborating with scientists and product managers, and driving operational excellence.

Software Development Engineer to architect and scale Gen AI-powered platforms and development tools that champion trustworthy customer experiences, privacy-by-design principles, and organizational trust at scale. This role will help set the standard for how privacy and trust technologies are implemented across D&S, driving end-to-end adoption of solutions that make trustworthy customer experiences the automatic choice for teams across Amazon.

Software Development Engineer role focused on building a new Generative AI application (QuickSuite) for enterprises within AWS. The role involves translating requirements into deliverables, prototyping, designing, developing, and deploying scalable services, and mentoring junior engineers. It's an early-stage initiative with a focus on solving complex technical challenges in AI.

Principal Engineer role at Amazon AWS Builder Acceleration focused on leveraging GenAI and advanced AWS technologies to simplify the software development, deployment, and maintenance lifecycle for AWS engineers. The role involves defining technical strategy, identifying high-impact problems, developing roadmaps, and pioneering AI-powered builder experiences at AWS scale.

Software Development Manager to lead an engineering team building generative and agentic AI-powered products and tools for Amazon Sellers and Account Managers, aiming to transform workflows and improve seller success.

This role is for an AI Platform Builder, a Data Engineer focused on developing Platforms and Agentic AI solutions. The role involves designing, implementing, and maintaining data pipelines and platforms that power AI/ML initiatives, using AI for code generation, optimization, and building AI-native self-service data platforms. It emphasizes prompt-driven development and creating self-improving systems.

This role focuses on building and deploying advanced machine learning models for consumer business applications, optimizing business operations and profitability. It involves end-to-end ownership from data analysis and model development to implementation and scaling, with a strong emphasis on creating automated processes for model lifecycle management.

Senior Data Scientist at Amazon Pay to lead innovation in machine learning and artificial intelligence solutions, focusing on multi-agent systems and Generative AI applications. The role involves end-to-end ML project leadership, MLOps pipeline development, and deployment of ML solutions, with a secondary focus on inference infrastructure.

Senior Software Development Engineer role focused on building Gen AI native games and gameplay experiences, and enhancing internal team productivity through agentic solutions. The role involves architecting, developing, and operating infrastructure for proprietary and third-party models, building intelligent agents, and optimizing AI solutions for performance and cost. It also includes leading internal GenAI adoption and ensuring enterprise-grade security and responsible AI.

Senior Software Development Engineer to join the Gen AI & Strategic Initiatives team for Amazon Luna. The role involves architecting and building next-generation tools and platform infrastructure to support proprietary and third-party AI models, enabling Gen AI native games and enhancing internal team productivity through agents. Responsibilities include driving platform architecture, building scalable API infrastructure, launching cross-functional agents, optimizing performance, supporting developer experience, implementing observability, designing throttling systems, ensuring security and compliance, and driving operational excellence.

Senior Applied Science Manager to lead AI initiatives for seller growth at Amazon. The role involves developing scientific models for customer demand, selection identification, and prioritization signals. It also includes leading the development of next-generation agentic experiences for sellers, integrating insights into products like ABA and OX, and driving business impact through ML/LLM solutions.

Senior Systems Engineer for Amazon Prime Air's autonomous drone perception systems. This role involves translating operational requirements into system specifications, bridging ML algorithms with flight control, and ensuring perception systems meet aviation certification standards. The focus is on the integration and validation of ML-based perception for safe autonomous flight.

Software Development Engineer III at Amazon Annapurna Labs, focusing on building and applying AI agents to simplify and accelerate customer adoption of AWS Neuron ML chips (Inferentia and Trainium). The role involves solving complex technical problems, designing and implementing innovative software solutions, and working with external and internal customers to identify adoption obstacles and opportunities in the Generative AI space.