This role focuses on the data science aspects of products, including decision making, performance optimization, and tracking. It involves working with product managers to define product design and data requirements, initiating and owning the design, development, and implementation of scientific analysis projects, and building statistical and machine learning models using large datasets. The role requires strong analytical skills, experience with scripting languages like Python, and effective communication with stakeholders.

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, and building automated security guardrails. A key aspect is pioneering new ways of securing AI-first and AI-native development, and leveraging AI tools to enhance security assessments and threat detection.

This role is for a Sr. Security Services Solutions Architect at AWS, focused on driving customer adoption of AWS security services, particularly for generative AI and agentic architectures. The architect will own the technical relationship with enterprise customers, design solutions, and provide feedback to product teams. While the role involves securing AI/agentic architectures, the core function is security services architecture and adoption, not building AI models or agents themselves.

Software Development Engineer II role focused on building full-stack applications and backend services for Amazon Manufacturing Services (AMS). The role involves digitizing shop floor operations, integrating with enterprise manufacturing platforms, and laying groundwork for intelligent production scheduling. Responsibilities include designing and operating AWS services, building React web applications, and integrating AMS with enterprise systems.

Software Development Engineer II role focused on building AI-native experiences for Alexa+ using Generative AI, enabling third-party partners to create new capabilities. The role involves design, architecture, and implementation of products used by customers daily.

Software Development Engineer II role focused on building AI-native experiences for Alexa+ using Generative AI, enabling third-party partners to create new capabilities. The role involves design, architecture, and implementation of products used by customers daily.

The role is for a Sr. Technical Program Manager (TPM) to lead the Automated Causal Evaluation (ACE) platform, a self-service tool for evaluating employee programs using A/B testing and causal inference methods. The platform includes a GenAI chatbot, API integrations, and a recommendations engine. The TPM will manage the end-to-end program lifecycle, coordinate cross-functional teams (science, engineering, UX, product), manage customer integrations, and provide executive visibility. The role focuses on delivering and scaling an AI-powered platform for internal use.

This role is a Support Engineer for AWS Region Services, focusing on Linux technical support within a secure cloud environment. The role involves troubleshooting customer issues, interacting with engineering teams, driving process improvements, and writing technical documentation. While the role uses internal AI systems for problem-solving, its core function is technical support and system administration, not AI/ML development.

This role is for a Senior Technical Program Manager to drive AI-powered design automation programs for AWS data centers, focusing on integrating generative AI with Building Information Modeling (BIM) to transform data center design workflows. The TPM will own end-to-end program delivery, collaborate with applied scientists and engineers, translate business needs into technical requirements, and manage cross-functional execution.

Software Development Manager to lead a team building AI-powered customer experiences and backend systems for Amazon's Alexa personal assistant. The role involves leading engineers, championing generative AI adoption, ensuring engineering excellence, and partnering cross-functionally to deliver innovative AI-driven features.

Associate Support Engineer role focused on technical support for AWS Region Services, involving troubleshooting, issue resolution, and leveraging Linux and cloud expertise. The role uses internal AI systems for problem-solving and diagnosis, and contributes to service improvement and documentation.

Solutions Architect role focused on helping enterprise customers design and build cloud solutions, including AI-driven ones, on AWS. This involves acting as a technical advisor, translating business needs into technical solutions, and building prototypes. The role emphasizes understanding customer requirements and leveraging AWS technologies to accelerate innovation and adoption.

This role focuses on providing expert guidance and designing secure, scalable, and resilient technical architectures for enterprise customers facing complex data protection challenges within AWS. It involves leading customer engagements, developing technical expertise, and influencing product roadmaps for data protection services, with a specific emphasis on securing generative AI and agentic workloads.

This role is a Senior Solutions Architect for AWS, focusing on ISV partners. The primary responsibility is to work with customers to help them leverage AWS cloud capabilities, particularly in Data, Analytics, and Generative AI, to enhance their offerings and drive customer success. The role involves technical advocacy, architectural design discussions, providing prescriptive guidance, and formulating strategies for AWS service adoption. While AI is mentioned as a domain of focus, the core craft of the role is not building AI models but rather enabling customers to use AWS services for their AI initiatives.

Software Development Engineer role focused on building scalable systems for ad tech measurement and data science. The role involves managing large-scale streaming systems, applying machine learning and data science with Big Data technologies like Spark, and driving optimizations and insights within a privacy-safe environment. Emphasis on data engineering and scalable web services.

This role focuses on helping Independent Software Vendors (ISVs) leverage AWS cloud capabilities, including Generative AI and data/analytics, to enhance their offerings and drive customer success. The Senior Solutions Architect will own the technical relationship, provide strategic guidance, and design cloud-native reference architectures.

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 aims to inspire customers by creating high-quality technical showcases for product launches and events.

Technical writer for Amazon's Selling Partner Developer Services, focusing on API documentation. The role involves collaborating with engineers and product managers to create and improve documentation, with an emphasis on exploring and implementing AI tooling to enhance documentation workflows and quality.

Data Scientist role focused on demand forecasting within Amazon's supply chain. Responsibilities include developing and supporting data science methodologies, building models for forecasting, bias correction, and contributing to GenAI/LLM research for explainability. The role involves designing and analyzing A/B tests, deriving causal inferences, and communicating insights to stakeholders. The primary artifact is the improved forecast, which directly impacts business decisions like inventory management and labor planning.

This role manages an engineering team responsible for building external-facing software capabilities to recruit, onboard, and manage a large crowd of external annotators who provide data for training and evaluating large language models. The focus is on the platform and processes for managing this crowd, which is a critical component of the data pipeline for AI model development.

Senior Business Intelligence Engineer focused on building and scaling personalized recommendations for millions of customers across European marketplaces. The role involves leveraging real-time customer intent signals, large-scale EU retail data, and engagement metrics, applying custom processors and matching models. It sits at the intersection of business intelligence, data engineering, and data science, developing custom models using Python and Spark (embeddings, persona matching) and building production-grade Python services, serverless infrastructure (AWS Lambda, CDK), and APIs (FastAPI). The role also includes owning reporting, measurement, and deep-dive analytics for personalized marketing campaigns.

Develops and maintains data models and ontologies for Amazon's product catalog, leveraging generative AI and semantic web technologies to enhance data retrieval and product discoverability. Analyzes metrics to optimize knowledge graphs and contributes to tool development.

Senior Solutions Architect for AWS Global Financial Services team, focusing on designing and implementing scalable cloud architectures for large financial institutions. The role involves advising senior stakeholders on cloud migration, cloud-native development, and AI adoption, partnering with sales teams, and contributing to the SA community through content and mentorship. The role touches on AI adoption and generative AI proof-of-concepts but is not primarily an AI development role.

Senior Solutions Architect role focused on helping enterprise customers build and migrate solutions on AWS, with a strong emphasis on AI/ML services. The role involves customer-facing technical discussions, workshops, and acting as a liaison between customers and engineering teams.

Sr. Technical Program Manager for Amazon Customer Service, focusing on leveraging conversational AI and ML for self-service and automation. The role involves scoping, planning, and executing complex, cross-functional projects, partnering with engineering teams, and managing project lifecycles.

The AI Data Associate role focuses on foundational labeling tasks for generative AI and LLMs, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining confidentiality, delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to improve labeling quality and operational processes. The goal is to support the development and responsible deployment of AI by providing essential data.

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.

The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining confidentiality, delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to enhance labeling quality and operational processes. The position requires C1+ French fluency and B2+ English proficiency, with a focus on analytical thinking, attention to detail, and structured problem-solving.

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 at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality.

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 is an AI/ML Specialist Solutions Architect focused on helping banking customers design and adopt GenAI solutions on AWS. The role involves understanding customer needs, designing solutions using AWS AI/ML services like SageMaker and Bedrock, and acting as a technical liaison between customers and AWS service teams. It emphasizes driving adoption, thought leadership, and providing customer feedback for product improvement.

Manager for Aurora PostgreSQL team focused on performance engineering, leveraging AWS infrastructure and machine learning to optimize database performance and drive the roadmap for feature and performance improvements.

This role focuses on providing technical advocacy and architectural guidance to early-stage startup companies using AWS cloud services. The goal is to help these startups build scalable, secure, and cost-effective solutions as they grow. The role involves direct customer engagement, creating technical content, and advocating for customer needs with product teams.

Software Development Engineer role focused on building and scaling data processing and machine learning infrastructure using open-source technologies like Ray and AWS services. The role involves designing, developing, and contributing to large-scale distributed systems and data platforms that support internal customers including ML specialists and research scientists.

This role is for a Business Intelligence Engineer on the GO-AI team within Amazon Robotics. The primary focus is on developing foundation models for complex visual reasoning tasks, but the role itself is centered around data analysis, ETL pipeline design, and dashboard creation to support leadership decision-making. While the team works with AI and foundation models, this specific role is more on the BI/data engineering side, using AI tools and insights rather than directly building or shipping AI models.

Software Development Engineer II on the RDS Telemetry Platform team at Amazon. This role involves building and operating infrastructure for collecting, ingesting, and routing database telemetry across the RDS fleet. The team develops automated engines using traditional and generative-AI techniques to detect performance anomalies, diagnose root causes, and provide tuning recommendations. The role requires developing products that capture and store telemetry, and exploring solutions to leverage this data for database performance optimization and security threat detection. It emphasizes solving complex engineering challenges in distributed systems at massive scale, with a focus on reliability, efficiency, and fault tolerance. Experience with ML/LLM fundamentals is preferred.

Support Engineer role focused on Linux systems administration, troubleshooting, and operational support within AWS Region Services. The role involves interacting with engineers, leveraging Linux and technical experience, driving service team communication, and improving support processes. It also includes writing technical articles, coaching new hires, and developing tools. A key aspect is using internal AI systems for problem-solving and diagnosis, but the core function is technical support and operational excellence in a secure cloud environment.

The Principal Developer Advocate will be the external face of AWS in ML hardware acceleration, focusing on AWS Trainium and the Neuron SDK. This role involves creating content, speaking at conferences, engaging with the ML developer community, and building partnerships to drive awareness and adoption of AWS's ML hardware solutions. The ideal candidate has a background in software engineering, ML research, or systems performance, with a passion for open-source AI and hardware-software co-design.

Manager of Data Engineering to lead a team building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The team will build multi-agent solutions to automate data engineering tasks and use generative AI tooling daily. The role involves partnering with BI, applied science, and product teams, and contributing to shared platform infrastructure.

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

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.

Software Development Engineer in Test focused on AI-enhanced automation for camera SDKs, aiming to improve test frameworks, efficiency, and defect detection in embedded systems.

Software Development Engineer role focused on building AI Agents and APIs for Amazon's advertising platform to improve campaign planning and impact for advertisers. The role involves designing and implementing scalable systems, working across the full software development lifecycle, and collaborating with data scientists and product managers.

Group Manager for Just Walk Out Technology, focusing on people management, site management, and driving process improvements within a team that leverages computer vision, sensor fusion, and machine learning for automated checkout experiences.

Software Development Engineer role at Amazon Advertising focused on building scalable ad serving systems that leverage LLMs for personalized ad experiences. The role involves developing and launching these systems, partnering with various teams, and working with the latest technologies in search, advertising, and e-commerce.

This role is for a GenAI/ML Specialist Solutions Architect at AWS, focusing on driving the adoption of AWS GenAI/ML services for large enterprise customers in the UKI. The role involves providing deep technical expertise, designing solutions, acting as a trusted advisor, leading architectural reviews, and contributing to product feedback. It requires a strong understanding of Generative AI and Machine Learning services, enterprise-grade architectural strategies, and the ability to translate complex technical concepts into business value.

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.

Software Development Engineer I (SDE I) role focused on building Gen AI solutions for freight logistics, including carrier-facing features and internal tools to boost developer productivity. The role involves leveraging AI technologies like Agentcore and Bedrock within Amazon's middle-mile network to optimize pricing, manage capacity, and enhance carrier engagement.