Amazon

This role is for a Senior Business Intelligence Engineer within AWS Marketplace & Partner Services. The primary focus is on architecting and deploying agentic data experiences, semantic models, and automated frameworks that transform raw data into business-ready insights. The engineer will enable data-driven decision-making by delivering reporting frameworks, deep-dive analyses, and self-service analytics tools, including AI-powered agents and semantic layers. The role involves translating complex data into stakeholder-ready narratives and partnering with Product, Engineering, and Data Engineering teams.

Software Development Manager to lead the Vendor Funding Booking team in building GenAI-powered solutions for Amazon Retail's financial systems, focusing on profitability and growth. The role involves owning a high-throughput software stack contributing billions of dollars monthly, driving vision, strategy, and the full development lifecycle for Finance and Accounting platforms.

Solution Architect role focused on helping early-stage startup companies build and deploy scalable and secure architectures on AWS, with a focus on cloud computing and Generative AI. The role involves technical decision-making, customer relationship building, and advocating for product needs.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data for training and evaluation, and improving annotation processes.

Data Scientist role focused on building analytics and insights capabilities for Consumer Payments organization. This involves applying statistical and machine learning techniques to extract trends, identify anomalies, and develop scalable science solutions. The role requires collaboration with various stakeholders and a strong foundation in data querying and scripting languages.

Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products.

Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services, focusing on helping enterprise customers migrate sensitive workloads to the cloud by addressing risk, regulatory, and compliance requirements. The role involves designing and implementing scalable security and compliance solutions, educating customers on AWS services, and contributing to the security assurance practice. While the role interacts with generative AI and security assurance services, its core function is not building AI models but rather ensuring customer compliance and security in the cloud environment.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures.

Solutions Architect for Financial Services customers on AWS, focusing on designing and implementing cloud-native architectures, accelerating adoption of AWS services, and connecting technology with business value. Requires broad technical competence and deep expertise in 2-3 areas, including AI/ML and Generative AI.

This role is for a Senior Solutions Architect at AWS who will help customers adopt and implement GenAI and agentic AI solutions on the AWS platform. The role involves technical engagement, architectural guidance, and driving customer success with AI technologies, focusing on migration, modernization, and security.

The role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLM development. Responsibilities include delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, analytical thinking, and adherence to strict confidentiality.

The role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLM development. Responsibilities include delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, analytical thinking, and adherence to strict confidentiality.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

Software Development Engineer role focused on expanding Amazon's product catalog using machine learning, deep learning, and information retrieval systems. The role involves designing and building scalable platforms for data processing, entity generation, and product/brand evaluation at a global scale.

Solutions Architect for US Federal Civilian Government agencies, focusing on implementing AWS solutions involving AI/ML, security, compute, storage, networking, serverless, and analytics. Acts as a subject matter expert on Generative AI/ML, owning technical engagements and defining implementation architectures. Requires strong AWS background, communication skills, and understanding of US Federal Government best practices for cloud solutions. Experience with Generative AI application building and deployment is preferred.

Software Development Engineer role focused on building prototypes for public sector customers using AWS services, including AI/ML technologies. The role involves full software development lifecycle, customer collaboration, and hands-on work with various cloud and open-source technologies.

This role is for a Senior Finance Analyst focused on AWS Account Receivable and collections. While the role mentions leveraging AI tools for operational efficiency and requires AI literacy, the core responsibilities are in finance operations, process improvement, and automation, not in building or shipping AI models. The primary focus is on collections, AR, and financial operations, with AI being a tool to enhance these existing processes.

This role focuses on optimizing Amazon's global logistics and fleet operations using AI and machine learning, aiming to reduce turnaround times and maximize vehicle utilization. The Sr. Supply Chain Manager will lead strategic initiatives, develop AI/ML solutions for network capacity and resource allocation, analyze complex data, design automation mechanisms, and collaborate with stakeholders.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and collaborating with product, technology, and science teams. The role requires proficiency in German and experience in data annotation for ML model training and evaluation.

This role focuses on applying Operations Research, Optimization, and Supply Chain principles, with an integration of Gen AI, to solve large-scale problems in inventory management, sales planning, and distribution for Amazon Devices. The scientist will design, develop, and deploy mathematical and simulation models, and work with cross-functional teams to optimize business operations and drive financial impact.

Senior Business Intelligence Engineer role focused on managing and optimizing the cloud infrastructure for AI technologies within Amazon's Alexa division. The role involves owning the BI strategy, designing and implementing dashboards and data models, building data pipelines, defining metrics, and collaborating with engineers to automate analytical processes. The goal is to provide visibility into infrastructure spend, GPU utilization, and identify cost savings, ultimately informing infrastructure investment decisions.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures.

System Architect role focused on defining hardware and silicon architecture for Amazon's consumer electronics products, including decisions on compute architecture, ML accelerators, and system components. The role involves tracking market trends, defining roadmaps, and collaborating with cross-functional teams throughout the product development lifecycle.

Solutions Architect for AWS SMB group, providing technical design guidance and thought leadership to customers on AWS platform, including AI/ML scenarios. Focuses on customer success and adoption.

This role focuses on the design and optimization of hardware for AWS data centers, specifically for machine learning inference products like AWS Inferentia. The engineer will drive physical implementation, develop cloud infrastructure for physical design work, and improve RTL2GDS flows for performance and TAT. While the role supports ML inference hardware, the core craft is hardware/physical design engineering, not AI model development or research.

This role focuses on developing and architecting mission-critical software and firmware for Annapurna Labs' next-generation machine learning platforms, specifically the NeuronSwitches that form the interconnect fabric for Trainium chips. The work involves low-level systems programming, hardware bring-up, device driver development, and optimizing data paths to ensure high-speed data movement for AI workloads. It operates at the hardware-software boundary, enabling the underlying infrastructure for advanced ML products.

This role is for a Sr. Manager to lead a team of SOC integration engineers responsible for critical deliverables in ML accelerator chips. The focus is on designing and optimizing hardware for AWS Machine Learning servers, specifically mentioning AWS Inferentia for inference. The role involves driving technical decisions, ensuring on-time delivery, and establishing best practices for top-level integration. While the role is in AI hardware acceleration, it's not directly building ML models but rather the infrastructure that runs them.

Senior Software Development Engineer role focused on architecting and leading the development of a next-generation brand experience platform for Amazon's Retail Business Services. The role involves driving technical strategy, building foundational services, and enabling AI features by partnering with ML scientists and research teams to scale solutions. The primary focus is on shipping AI-powered products that improve brand experience and catalog enrichment.

Software Development Engineer to build scalable, high-performance systems that power natural language understanding, personalization, and other ML-driven capabilities for Amazon Ads. The role involves architecting and building services and infrastructure for new ad experiences, partnering with scientists to develop models, and deploying production systems that serve ML models at scale.

Software Development Engineer II role focused on building the future of retail payments for Amazon's Physical Stores. The role involves developing next-generation payment technologies, including cloud-enabled and on-device solutions, with experiments in generative AI for predictive patterns and autonomous payment agents. The team works on innovative payment acceptance, processor integrations, and risk management, shaping the future of retail payments.

Software Development Engineer to build high-performance, globally scalable AI-based Financial systems, partnering with science teams to build customized ML models and integrate with Generative AI models. Focus on designing and developing services for global financial transactions using AWS cloud platform.

The role focuses on applying operations research and machine learning to optimize Amazon's last-mile delivery operations, aiming to improve efficiency, reduce costs, and enhance customer experience. Responsibilities include developing models, creating metrics, managing projects, and working with tech teams to build new tools and systems.

Data Engineer role focused on building and maintaining data pipelines, feature extraction frameworks, and APIs for productionizing science models within Amazon's People Experience and Technology (PXT) Central Science team. The role involves using AWS services for data processing, model serving, and integration with other engineering teams.

Software Development Manager for Alexa Audio, focusing on building and scaling audio experiences for Alexa-enabled devices. The role involves leading a team of software engineers, setting technical vision, and partnering with product management to leverage Generative AI and LLM capabilities for customer-facing audio features.

This role focuses on designing training materials and delivering AI-related training to internal teams, leveraging AI tools for design productivity and innovation. The primary responsibility is to create visually compelling learning content and facilitate AI awareness sessions for frontline associates and leaders in Last Mile operations.

This role focuses on designing and delivering production-grade AWS architectures that integrate generative AI capabilities, including foundation models and agentic patterns, to solve complex business challenges for enterprise customers. The Solutions Architect acts as a trusted technical advisor, influencing customer technology strategy and driving adoption of AWS AI services.

Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams.

Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams.

Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams.

Seeking an experienced software development manager to lead a new organization focused on simplifying and accelerating the software development experience for AWS engineers using GenAI and advanced AWS technologies. The role involves building services and tools to reduce friction, developing a strategic roadmap, and pioneering AI-powered builder experiences.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

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.

Data Engineer role focused on building and optimizing data models and end-to-end data pipelines using AWS services for Amazon Publisher Monetization. The role involves implementing data solutions for human analysts and AI-powered tools, ensuring data quality, and collaborating with stakeholders to deliver data products. It also mentions leveraging LLMs and generative AI for development workflows and contributing to automated data infrastructure.

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.

This role focuses on building solutions to support the governance and security of agents, and converting the platform to an agentic-first interface. It emphasizes leveraging Generative AI tools and AI-assisted development environments to accelerate various stages of the software development lifecycle, including prototyping, development, validation, testing, and documentation synthesis. The role also requires an understanding of the responsible use of GenAI in security-sensitive environments.

This role focuses on building AI-powered prototype solutions, agents, and automations to improve marketer productivity within Amazon Ads Marketing. It involves transforming UX and marketing workflow ideas into working code using AI-assisted development tools, and shipping AI use cases from pilot to production. The role also involves evaluating AI tools and developing reusable prototyping methods and agent frameworks.