The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English.

Solutions Architect role focused on driving customer adoption of AWS services, particularly in the Automotive & Manufacturing sector, with a focus on Generative AI. The role involves technical sales strategy, customer education, architectural guidance, and building demos/PoCs to showcase AWS's GenAI capabilities.

Front End Engineer II for AWS Marketplace, focusing on building a new Generative AI application. The role involves end-to-end software development, collaboration with stakeholders, and delivering user-facing features for enterprise customers.

Data Engineer role focused on designing, developing, and maintaining data infrastructure, including data pipelines, ETL processes, and data warehousing, to support analysis, reporting, and machine learning applications. The role involves collaborating with cross-functional teams and potentially redesigning data architecture. Experience with generative AI tools is preferred.

Lead industrial design strategy for Amazon's Personal Robotics Group, shaping the future of human-robot hardware experiences. Drive design excellence at the intersection of AI and physical robotics, creating next-generation products that seamlessly integrate intelligent systems with embodied agents. Partnering directly with Director+ leadership, you'll set new vision and standards for how people connect with robotic technology in their daily lives.

This role focuses on designing and implementing production-quality technical demonstrations for AWS services, particularly in Generative AI and Machine Learning. The Builder Solution Architect will develop code artifacts, support analyst evaluations, and collaborate with various teams to showcase AWS's capabilities to customers and internal stakeholders. The role emphasizes creating inspiring demos for product launches and events, requiring strong software development skills and the ability to quickly learn new concepts and tools.

Senior Software Development Engineer to lead the architecture and technical design of a globally deployed, locally configured gross-to-net calculation engine that leverages LLM-based rule extraction to formalize complex jurisdiction-specific tax regulations. The role involves designing deterministic tax calculation algorithms, driving technical decisions for the LLM-based rule extraction pipeline, creating accounting integration services, and implementing GenAI shadow mode validation frameworks.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs. The role involves working with various data types, delivering high-quality labeled data using in-house tools, and analyzing root causes to improve labeling quality.

This role is for a Senior Strategic Supply Chain Manager in Amazon's Books organization. The primary focus is on optimizing supply chain strategies, including demand forecasting, ordering, and inventory management, to improve customer and vendor experience. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and optimization, not direct AI/ML development.

This Business Analyst role focuses on shaping how sellers globally list their products on Amazon. The candidate will work with large datasets, seller anecdotes, and business metrics to identify opportunities and create programs for growing on Amazon stores. Responsibilities include engaging with leadership, partnering with engineering teams on data elements, designing self-service data platforms, delivering reporting solutions, and making data-driven recommendations. While the core role is business analysis and product development, there is a preferred qualification for leveraging generative AI tools to enhance workflow efficiency and integrate AI solutions into products and services.

Senior Technical Program Manager to lead the development and evolution of a Sales Planning Tools platform. This role will own the end-to-end technical program management, drive technical strategy, manage dependencies, define roadmaps, and ensure operational excellence across multiple engineering teams. The role involves partnering with various stakeholders including data science and engineering, and has a technical focus on data pipeline architecture, ETL, ML model integration, and platform scalability.

This role is for a Network Development Manager III at Amazon OpsTech, focusing on leading the development and delivery of automated LAN and Wireless network solutions for fulfillment and robotics operations. The role emphasizes driving innovation in network automation, AI-powered solutions, and next-generation architectures, while also managing a team of engineers. The primary focus is on the infrastructure that supports AI operations rather than building AI models directly.

This role is a Senior Business Development Manager focused on Go-To-Market strategies for Generative AI startups on AWS. The primary responsibility is to drive revenue, adoption, and growth by building strategic partnerships and executing effective GTM plans. The role involves engaging with C-suite executives and technical architects, understanding AWS offerings (Sagemaker, Bedrock, EC2), and serving as a trusted advisor to startup partners. While the role is within the GenAI space and involves understanding AI technologies, the core function is business development and sales, not direct AI/ML model development or research.

This role is for a Strategy & Operations Manager within AWS India, focusing on driving the strategic direction and growth of the cloud platform. The role involves developing forecasting models, analyzing business performance, translating strategy into executable plans, and optimizing business processes. A key aspect is transforming business processes and operational tools to leverage AI capabilities, leading the implementation of AI-powered analytics, automation, and decision-making tools, and driving the adoption of generative AI and machine learning solutions to optimize forecasting, planning, and reporting. The role requires strong analytical rigor, strategic thinking, and collaboration with various cross-functional teams.

This role is a Senior Training Specialist for an Agentic AI team. The primary responsibilities include facilitating blended learning, supporting training planning and execution, tracking progress, identifying areas for improvement, and scaling training innovations. While the role supports an AI team and uses GenAI tools, it does not involve building or shipping AI models or systems directly.

This role is a Team Manager for Data Services within Amazon's Artificial General Intelligence (AGI) organization. The team focuses on data creation, curation, and analytics to support the development and training of Alexa AI, specifically improving speech recognition and language understanding capabilities. The manager will oversee daily operations, hiring, training, performance monitoring, scheduling, and process improvement, working closely with ML Science teams. While the team supports AI development, the manager's core responsibilities are operational and people management, not direct AI/ML model building.

This role focuses on training delivery and management within an AI organization, specifically for the AGI-DS Knowledge Management Team. The Senior Training Specialist will facilitate blended learning, manage learning systems, track training completion, and identify areas for improvement to scale training approaches. While the role is within an AI context and uses AI tools, its core function is training and development, not direct AI/ML model development or deployment.

The AI Data Associate role focuses on foundational labeling tasks for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining data quality, analyzing root causes of errors, and suggesting process improvements, all while adhering to strict confidentiality and Amazon's policies for responsible AI development.

Data Scientist role focused on building the next generation supply chain for Amazon's ultra-fast customer experiences. The role involves identifying and prioritizing complex business problems, translating them into data science problems, and designing, developing, and evaluating innovative statistics and ML models. It also requires establishing scalable processes for data analysis, model development, validation, and implementation, with a goal to improve customer experience, product availability, and reduce supply chain costs.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and collaborating with cross-functional teams. The role requires proficiency in Spanish and German languages.

Senior Data Scientist role focused on developing and building ML and statistical models for forecasting Amazon Stores' financials, aiming to improve financial decision-making and planning for senior leadership. The role involves working across the project lifecycle, collaborating with various teams for production implementation, and adapting new modeling techniques.

Software Development Engineer II on the AWS Applied AI Solutions team, focusing on building and maintaining the secure data foundation for AI-driven business applications. This role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. The engineer will design and implement solutions for data storage, access interfaces, and authorization systems, while also mentoring team members and resolving operational issues.

Data Scientist on the Alexa Daily Essentials team, focusing on analyzing complex data, developing statistical methodologies, and providing product insights to shape solutions. Responsibilities include problem-solving through data analysis and modeling, building data pipelines, acquiring data via SQL/ETL, and communicating complex ideas to technical and non-technical audiences.

Software Development Engineer II at Amazon, focused on building the platform for designing and managing Amazon's global transportation network. The role involves calculating capacity, predicting gaps, identifying at-risk packages, and responding to real-time disruptions. It utilizes AWS services, big data processing (Spark/Scala), optimization algorithms, machine learning models, and GenAI. The position requires operating at all levels, providing strategic inputs, driving planning and execution, and contributing to talent development and operational excellence.

This role is for a Network Development Manager at Amazon, leading a team responsible for designing, planning, and delivering global network infrastructure for Amazon's fulfillment, transportation, and grocery sites. The role involves driving the integration of networking technologies, managing vendor relationships, and scaling network architectures. A key aspect is championing the integration of AI and machine learning to enhance network automation and operations, and promoting the adoption of AI-powered tools and generative AI for network operations.

This role is for a Sr. Analytics Program Manager focused on optimizing Amazon's Middle Mile Transportation Technology. The role involves program management for supply optimization, driving process improvements, generating insights from data, and building automation solutions. The individual will work with business stakeholders, leverage advanced analytical skills, and create data-driven improvements to the transportation network. Responsibilities include data analysis using Excel and SQL, designing reporting solutions, and managing KPIs. While the team leverages ML and optimization techniques, this specific role is focused on program management and analytics, not direct AI/ML model development.

This role focuses on applying economic expertise, causal inference, and machine learning to research and model factors driving workplace safety outcomes within Amazon's operations. The goal is to identify effective improvement programs and develop data-driven solutions to reduce risks and injuries, partnering with business and technical teams to deliver impactful insights and scalable data resources.

Full-Stack Software Engineer role focused on building AI-powered personalized discovery experiences for Amazon customers. The role involves designing, developing, and operating features across web and mobile surfaces, with a strong emphasis on personalization and generative AI.

Senior Solution Architect for Amazon Shipping, focused on driving enterprise customer launches by designing and implementing complex integrations. The role involves technical expertise in pre-sales and post-sales, customer advisory, and hands-on execution, including leveraging AI tools for troubleshooting.

Program Manager II for FBA Support Operations, focusing on change execution strategy. This role involves collaborating with various teams to identify and resolve defects, manage change requests, and optimize processes. The role requires experience with program management, cross-functional collaboration, process improvement, data analysis, and leveraging generative AI tools for workflow efficiency.

This role is for a Product Marketing Manager focused on the Energy & Utilities industry for AWS. The individual will translate complex cloud and AI solutions into customer value, influence product strategy, develop positioning and messaging, and create marketing plans. The role requires a blend of technical understanding and business strategy to help customers leverage AWS cloud and AI services.

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.

Senior Solutions Architect role focused on helping enterprise customers adopt and leverage AWS services, including Generative AI and Data Analytics, by providing architectural guidance, technical content, and evangelism. This role is customer-facing and involves understanding business needs to craft technical solutions.

Software Development Engineer role focused on building and scaling automation solutions using Machine/Deep Learning and LLMs for Amazon's Retail Business Services. The role involves designing, developing, and deploying robust engineering platforms to solve high-impact business problems, with a focus on retail automation and customer experience.

The role involves foundational data labeling for generative AI and LLMs, including text, speech, audio, image, and video data. Responsibilities include maintaining confidentiality, delivering high-quality labeled data according to KPIs, using in-house tools, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, ability to make sound judgments, and proficiency in German.

This role focuses on building and training models for sales forecasts and planning within Amazon's Ad Sales Finance analytics team. It requires strong statistical and machine learning skills, experience with time-series forecasting, and the ability to translate complex findings into actionable business insights. The role involves working with large datasets and partnering with business leaders.

This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses.

This role focuses on strategic business development, identifying and securing transformative technologies (robotics, computer vision, generative AI, autonomous systems) through acquisitions or partnerships to revolutionize Amazon's global transportation network. It involves end-to-end partnership initiatives, deal structuring, negotiation, due diligence, and creating analytical frameworks for ROI assessment, with a direct P&L impact.

Software Development Engineer II on the Alexa Shopping team in Bangalore, focused on building and launching customer-facing AI-powered shopping experiences across various platforms. The role involves designing, developing, and owning technologies for Shopping List, Grocery, and Product Evaluation, with a strong emphasis on integrating Generative AI features to enhance customer experience and anticipate needs.

Software Development Manager for Alexa Shopping Core team in Bangalore, leading engineering efforts for Shopping List, Grocery, and Product Evaluation experiences using Generative AI to build customer-centric shopping features across multiple platforms. Focus on managing a team, driving technical vision, and delivering AI-powered shopping experiences at scale.

This role is for a Senior Product Marketing Manager at AWS, focusing on AI and agent building products like Amazon Bedrock. The individual will work with product and GTM teams to define customer value propositions, shape product strategy, and develop messaging and technical content to educate customers on AWS offerings. The role requires a blend of technical understanding and business strategy to drive adoption of cloud computing and AI services.

Senior Product Marketing Manager for AWS, focusing on AI app and agent building products like Amazon Bedrock. The role involves translating complex cloud solutions into customer value, shaping product strategy, developing positioning and messaging, leading launch strategies, creating technical content, and driving field enablement. Requires a blend of technical understanding and business strategy to influence product offerings and articulate value propositions for AI products.

This role focuses on designing and implementing production-quality technical demonstrations for AWS services, particularly in Generative AI and Machine Learning. The responsibilities include developing code artifacts, supporting analyst evaluations, and collaborating with various teams to showcase new products and features. The role emphasizes creating inspiring technical showcases for product launches and events.

Software Development Engineer role focused on building automation and AI/ML solutions, including LLMs, to support Amazon's Retail Business Services. The role involves designing and developing large-scale distributed systems, solving complex business problems, and ensuring the quality and comprehensiveness of Amazon's catalog. Emphasis on innovation, operational excellence, and collaboration with Applied Scientists.

Product leader to design, experiment with, and deliver AI-powered experiences that help Amazon's Selling Partners discover and act upon growth opportunities. The role involves transforming actions into sequenced, prioritized business plans through conversational experiences, leveraging generative AI tools to enhance workflow efficiency and integrate AI solutions into products.

This role is for a Senior Technical Program Manager at Amazon, focusing on AI-Powered Network Planning. The core responsibility is to own the roadmap for AI-native solutions that learn, predict, and optimize the customer service network. The role involves leading end-to-end delivery of AI-enabled forecasting and capacity optimization initiatives, partnering with Engineering, Science, and Product teams to architect and scale systems, and managing the transition from legacy to next-generation AI-native capabilities. It requires influencing without authority, navigating ambiguity, and defining program mechanisms. The role operates at the intersection of Engineering, Science, and Product, aiming to redefine the global network through AI.

This role is for a Senior Finance Data Analyst who will build reporting tools and dashboards for the Amazon Retail Finance team. The role involves automation, business intelligence, and integrating with AI/ML initiatives to improve financial analysis and reporting. While the role will interact with AI/ML tools and initiatives, its core function is data analysis and reporting within finance, not the direct development or research of AI models.