The role involves evaluating and labeling various data types (text, audio, image, video) to improve AI quality and support AI development. It includes generating human judgment data, monitoring harmful content generated by AI, and managing data security. The role also focuses on quality control, proposing solutions for improvement, and supporting AI development by making appropriate judgments with incomplete information. Translation of guidelines is also a responsibility. The role requires native-level Chinese or Korean and business-level Japanese or English.

This role is for a ProServe Cloud Architect on AWS Professional Services in Taiwan. The architect will design, architect, and implement cloud solutions on AWS for customers, acting as a trusted technical advisor. Key responsibilities include solution architecture, customer engagement, cloud migration, conducting Well-Architected Reviews, technical delivery, advising on emerging technologies like generative AI, and supporting pre-sales efforts. The role requires strong AWS expertise and experience in IT architecture and cloud solutions, with exposure to AI/ML services being a preferred qualification.

This role is for a Senior Solutions Architect within Amazon's AWS WWPS DOD sector, focusing on the Air Force. The primary responsibility is to help U.S. Department of War customers implement innovative cloud computing solutions using AWS services. The role involves owning technical engagements, defining architectures, responding to RFPs, and acting as a subject matter expert on security. While generative AI is mentioned as a helpful experience area, the core of the role is cloud architecture and consulting for defense clients, not direct AI/ML model development.

Software Development Engineer role focused on building and delivering automation solutions for Amazon's Retail Business Services (RBS). The role involves designing and developing large-scale distributed systems that leverage Machine/Deep Learning and LLMs to solve complex business problems related to selection, defect elimination, and operational processes. The engineer will work with applied scientists to build robust platforms and drive continuous improvements in engineering and operational excellence.

This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure.

Software Development Engineer II for Global Transportation Tech Services (GTTS) at Amazon, focusing on building and managing the software platform for Amazon's outbound transportation network. The role involves designing network capacity, predicting gaps, responding to disruptions, and developing new greenfield products. It utilizes AWS services, big data processing, optimization algorithms, machine learning models, and GenAI. The position requires operating at all levels, providing strategic inputs, driving project execution, and talent development.

Software Development Engineer role focused on building and delivering automation solutions for Amazon's Retail Business Services (RBS). The role involves designing and developing large-scale distributed systems that leverage Machine/Deep Learning and LLMs to solve complex business problems related to selection, defect elimination, and operational processes. The engineer will work with applied scientists to build robust platforms and drive continuous improvements in engineering and operational excellence.

This role focuses on driving the enterprise-scale adoption of Amazon Quick, an AI-powered assistant. The Sr. Technical Architect will define and maintain reference architectures, build sprint readiness assessments, and drive technical quality across teams. They will also act as a bridge between field delivery and the product organization, translating customer blockers into requirements and coordinating engineering requests. The role involves developing technical underpinnings for workforce transformation, including workload patterns, transition criteria, and success metrics dashboards, all within the framework of the "Live in 45" methodology.

This role is for a Senior Business Intelligence Engineer focused on Sales Planning & Policy within AWS. The primary responsibilities involve working with large datasets, writing SQL queries, building data models with Python, and partnering with business owners to integrate ML/GenAI into scaling programs. The role emphasizes data analysis, reporting, KPI definition, and driving business decisions through insights. While the role mentions integrating ML/GenAI, its core function is BI engineering and data analysis, not direct AI/ML model development.

Data Engineer II role at AWS Professional Services focused on building and scaling data products, including AI/ML and generative AI tools, for enterprise customers. Responsibilities include developing ETL pipelines, data models, and data integration using SQL, Python, and AWS services, with a focus on scalability, automation, and platform reliability.

This role focuses on leveraging advanced data analysis and AI tools, including agentic AI systems, to detect and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, analyze complex datasets, identify risks and gaps in existing mechanisms, and develop scalable solutions to endemic problems. The role requires strong analytical skills in SQL and Python, experience with AI tools, and the ability to manage projects from identification to solution scaling.

Software Development Engineer II role focused on building customer service tooling and AI agentic workflows for online fashion retailers. The role involves developing critical services, leveraging AI tools to augment work, and building AI agents for customer service scenarios, impacting millions of customers.

Data Platform Engineer for Fauna Robotics, focused on building foundational data systems for robotics and ML development. This role involves designing and implementing infrastructure for data collection, storage, processing, and transformation from robot sensors, video, and logs, enabling ML training and fleet performance monitoring.

This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design for machine learning systems. The primary responsibility is to drive neural network model execution on these custom silicon solutions.

Software Development Engineer role focused on backend systems for consumer devices (Ring), emphasizing low-latency, high-uptime systems and iterative development. The role involves leveraging generative AI tools to improve development processes.

Principal Data Scientist for Prime Video Personalization and Discovery team, focusing on developing next-generation measurement and experimentation systems to influence customer content discovery. Requires experience in building large-scale experiment-based measurement systems, strong stakeholder communication, and balancing technical rigor with delivery speed.

This role focuses on building and optimizing large-scale distributed systems for Amazon's Sponsored Products and Brands advertising, with a specific emphasis on applying Generative AI (GenAI) and Large Language Models (LLMs) to enhance ad relevance, personalization, and shopping experiences. The engineer will work on the full stack, from backend services to shopper-facing interfaces, aiming to integrate AI seamlessly into the advertising ecosystem.

This role is for a Principal Design Technologist focused on designing and building AI-native experiences using generative AI and LLMs. The role involves hands-on prototyping, strategic technical leadership, and cross-functional collaboration to shape the future of AI-powered user experiences within Amazon's Velocity Labs.

Senior Applied Scientist role focused on developing and optimizing machine learning and GenAI solutions for Amazon's Last Mile delivery network. The role involves building mathematical models, improving algorithms, and contributing to production systems to optimize delivery capacity, customer experience, and operational costs. Requires strong analytical skills, experience with ML model development, and ability to work with large datasets.

This role is for a Senior Solutions Architect in Healthcare, India, focusing on enabling industries to build innovative services with AWS. The architect will own technical engagements, develop deep expertise in AWS technologies, and design IT systems deploying at scale. They will evangelize adoption of new technologies, identify patterns and best practices, and advise on various technologies including Generative AI, AI/ML, data, analytics, compute, containers, and serverless. The role requires customer-facing skills, strategic thinking, and the ability to architect for high availability, scaling, cost minimization, and security. Experience in architecting/building/implementing Healthcare domain solutions is preferred.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and labeling for ML model training and evaluation. This role collaborates with product, technology, and science teams to ensure high-quality annotated data and improve annotation processes.

This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements and metrics, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and building consensus on data strategy.

This role focuses on designing and implementing cloud architectures for Healthcare and Life Sciences (HCLS) customers using AWS services, with a significant emphasis on AI/ML and Generative AI use cases. The Solutions Architect will build prototypes, conduct architectural discussions, and support customer adoption journeys, acting as a technical liaison between customers and AWS.

Senior Delivery Consultant for AI/ML at AWS Professional Services in ASEAN, focusing on advising customers on ML solutions on AWS, leading engagements from pre-sales to delivery, and driving business value through ML implementations.

This role involves building intelligence and analytical frameworks for customer growth in emerging markets, using data mining, statistical, and machine learning techniques. The Sr. BIE will drive the analytics roadmap, collaborate with stakeholders, and implement data flow solutions, with an "AI first mindset" for evolving business analytical requirements.

Actuary role focused on building underwriting and claims models, developing forecasts, and creating cloud-based modeling tools for risk management and insurance programs within Amazon's global operations. Requires strong data science and machine learning modeling experience.

Software Development Engineer III role in Amazon FinTech's Delta team, focusing on architecting and developing scalable financial systems. The role involves leveraging AI/ML for compliance monitoring, anomaly detection, and SDLC monitoring, with a strong emphasis on technical leadership, architectural decisions, and driving innovation in financial technology.

This role is for a Data Engineer on the Worldwide Grocery Store Tech (WWGST) Data & Analytics team. The primary focus is on architecting data infrastructures and developing advanced data pipelines. The team is described as an 'AI-first team' aiming to deliver analytics using AI in 2026. The role involves collaborating with Data Scientists to implement advanced analytics algorithms and machine learning, but the core responsibilities are data engineering.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.

The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training.

This role is for a Software Development Manager on Amazon's Selection Monitoring team. The team uses AI/GenAI, machine learning, and deep learning algorithms to process billions of products from millions of sources to identify and add products to the Amazon catalog. The role involves leading a team to build and launch scalable services for data integration, entity resolution, and storage, focusing on improving product information, search, and discoverability. The manager will define technical vision, drive operational excellence, and manage the career growth of their team members, working with large-scale distributed systems and data processing.

This role focuses on developing and deploying machine learning models and analytical frameworks to optimize AWS data center infrastructure performance, including availability, efficiency, and reliability. The Senior Data Scientist will work with large-scale operational datasets, collaborate with various engineering teams, and translate complex findings into actionable recommendations for leadership. The role involves the full data science workflow, from data acquisition to production deployment, with an emphasis on scalable solutions and measurable impact.

Solutions Architect III role focused on designing and implementing data and AI solutions on AWS, including data pipelines and leveraging various AWS data and AI services. The role involves technical consultancy, maturity assessments, and roadmap definitions, acting as a Subject Matter Expert.

Security Engineer role focused on securing foundational AWS compute and networking systems, including those powering generative AI workloads. The role involves designing security controls, providing architectural guidance, building automated security guardrails, and leveraging AI tools to enhance security assessments and threat detection. While the role touches on AI-native development and uses AI tools, its core craft is security engineering for cloud infrastructure, not building AI models or agents.

Solutions Architect for AWS India, focusing on EdTech organizations. Responsibilities include owning technical engagements, designing scalable IT systems, advising on various AWS technologies including Generative AI, AI/ML, data, analytics, compute, containers, and serverless. The role requires customer-facing skills, strategic thinking, and the ability to architect for high availability, scaling, cost optimization, and security.

This role is for a Sr. Technical Program Manager at Amazon Prime Video, focusing on Partner Experience Engineering. The role involves leading core programs for Prime Video partners (studios, content creators) to ingest content, working across multiple organizations, and acting as a technical representative with external partners. A key aspect is applying ML and Generative AI capabilities to improve partner and customer experiences in the entertainment supply chain. The role requires planning for a 30+ developer team and inventing using appropriate frameworks and technologies.

This role is a Senior Solutions Architect focused on helping Independent Software Vendors (ISVs) leverage AWS cloud capabilities, particularly in Data, Analytics, and Generative AI. The architect will own the technical relationship with customers, provide strategic guidance, design reference architectures, and drive adoption of AWS services to enhance customer offerings and accelerate innovation.

Software Development Manager for Alexa Daily Essentials, leading teams in Customer Artifact Management (ingesting/processing customer content like PDFs, images), Notes & Memory (intelligence layer for remembering/reasoning over customer info), and GenAI Tooling (internal GenAI tools for engineering productivity). The role owns full-stack development, including backend systems and ML pipelines, and drives GenAI adoption.

The role focuses on building data models and ML data infrastructure to power pricing algorithms and improve operational/reporting efficiency using GenAI solutions. It involves designing and implementing data pipelines, managing AWS resources, and transforming data from various sources.

This role is for a Senior Solutions Architect focused on security integrations for Independent Software Vendors (ISVs) on AWS. The primary focus is on helping customers leverage AWS cloud capabilities, particularly in data, analytics, and Generative AI, to enhance their offerings and drive mutual success. The role involves technical advocacy, architectural design discussions, providing prescriptive guidance on AWS technologies, and formulating strategies for AWS service adoption. While Generative AI is mentioned as an area of focus, the core responsibilities revolve around cloud architecture, customer engagement, and driving adoption of AWS services, rather than directly building or shipping AI models.

Software Development Engineer II role focused on building intent-based automation and optimization algorithms for transportation network disruptions. The role involves designing and developing scalable distributed systems, machine learning models for forecasting, scheduling, and route planning, and orchestrating optimal route corrections. It operates at a large scale within Amazon's middle-mile transportation network.

Manager, Business Intelligence Engineering to lead and grow a BI and analytics team. The role involves hands-on data engineering for AI agents, building measurement frameworks, and ensuring reporting commitments. The ideal candidate will be a technical leader passionate about using data to unlock growth for Selling Partners, with experience in dynamic environments and a focus on reusable, scalable data infrastructure.

Technical Account Manager for National Security customers within AWS, focusing on strategic technical guidance and driving adoption of AWS services, including AI/ML services, but not directly building them.

Senior Solutions Architect for Alexa+, focusing on driving strategic adoption of Generative AI integrations at scale with Tier-1 partners. The role involves technical consultation, architectural framework development, and influencing product roadmaps for a new version of Alexa powered by LLMs and agentic capabilities.

This role focuses on building and scaling infrastructure for Fire TV devices, with a significant emphasis on leveraging AI/ML for automation, anomaly detection, predictive alerting, and self-healing systems. The primary focus is on the engineering and deployment of these AI-enhanced systems within the infrastructure.

Principal Technical Program Manager to lead the development of an AI agent for ads new ad products that leverage AI to help customers find and discover new products and engage with brands and sellers on Amazon. This role manages complex technical programs spanning multiple VP-level organizations, aligning on project requirements, creating work back plans, defining API contracts, and managing strategic communications with executive stakeholders.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, and video data. This role involves working with diverse data types, delivering high-quality labeled data using in-house tools, and analyzing data to improve labeling tasks. The associate will also identify process issues and provide floor support.