Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development.

Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development.

Senior Manager role for Amazon's Gift Card business, focusing on end-to-end fraud prevention strategy. This role involves strategic planning, roadmap ownership, and leading cross-functional teams including Machine Learning, Product, and Tech to reduce fraud and ensure a frictionless customer experience. Key responsibilities include driving fraud reduction through ML model enhancements, detection signals, and establishing AI-driven real-time decisioning frameworks.

Data Scientist role focused on building and guiding data-driven frameworks for ad experience personalization, yield optimization, and monetization within Prime Video. This involves using advanced statistical and machine learning techniques on large-scale data, designing end-to-end data science workflows, building and maintaining statistical models for various ad-related predictions, and partnering with product and economics teams to design experiments and measure impact. The role aims to improve customer experience and advertiser results, supporting hundreds of millions of users.

This role is for a Sr HRBP in Amazon's EU Business Finance organization, focusing on HR strategy, organizational effectiveness, change management, and leadership coaching. While the role encourages the adoption and strategic application of AI tools within HR to enhance effectiveness, improve decision-making, and streamline processes, the core responsibilities do not involve building or shipping AI/ML models or systems. The primary focus is on HR strategy and people initiatives, with AI tools being a means to enhance these HR functions.

Product Marketing Manager for Amazon Canada, focusing on seasonal events, merchandising, social media, and customer engagement. The role involves campaign execution, content optimization, data analysis, and reporting. While not directly building AI, the role explores and utilizes generative AI tools for workflow efficiency and identifying enhancement opportunities.

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.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data. This role involves delivering high-quality labeled data using in-house tools and guidelines to meet KPIs, analyzing root causes of errors, and proposing solutions to enhance labeling quality. The associate will also provide floor support and identify process improvements.

This role is for a Sr. Business Intelligence Engineer focused on FBA Analytics at Amazon. The primary responsibilities involve developing analytical methods, KPIs, and dashboards, and building AI workflows to support data-driven strategic decisions. The role requires strong SQL, data processing, and statistical analysis skills, with experience in AWS technologies and scripting for automation. While it mentions building AI workflows and using machine learning, the core focus is on business intelligence and analytics rather than core AI/ML model development.

This role focuses on building AI workflows and using ML/statistical techniques to analyze business data and inform product strategy within the FBA analytics team. It involves developing metrics, dashboards, and automated reporting, with a preference for experience leveraging generative AI tools.

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.

Economist to develop science behind measuring and optimizing B2B marketing investment for AWS. This is a greenfield opportunity to build a brand measurement capability from the ground up, defining frameworks, methodologies, and best practices. The role involves developing econometric models to estimate the causal impact of brand awareness on customer preferences, acquisition costs, and revenue, and quantifying optimal brand investment and returns. It requires applying causal inference methods suited to long-horizon, slow-moving brand effects and partnering with marketing, finance, and strategy teams to translate findings into actionable recommendations. The role also involves consulting with business stakeholders and staying current on brand measurement literature.

Solutions Architect for AWS in South Africa, focusing on enterprise clients. Responsibilities include technical relationship ownership, solution design, migration strategies, security, and best practices. The role involves educating customers on AWS technologies, including Generative AI and Agentic AI, and acting as an internal advocate for platform improvements. Requires experience in technology domains, cloud computing, systems engineering, and engaging with senior executives. Preferred qualifications include customer-facing experience, AWS technologies, and implementing Generative AI in an enterprise context.

Software Development Engineer II role at Amazon Advertising focusing on building scalable services and ML-powered software solutions for advertisers. The role involves full-stack development, leveraging big data technologies, and collaborating with research scientists and product managers to design and implement AI/ML-driven features.

The Senior Product Manager will define the product strategy and roadmap for strategic initiatives impacting top and bottom line growth for Amazon Business, with a focus on pricing innovation and transforming the seller experience through generative AI and next-generation tooling. This role involves understanding seller needs, leveraging their capabilities, and optimizing the seller journey. The position requires interaction with senior management and co-ownership of global initiatives, aiming to enable sellers' success on Amazon. Key responsibilities include developing pricing strategies, launching global initiatives, writing business cases, and conducting competitive analysis. The role emphasizes applying emerging technologies, including generative AI, to reimagine seller operations and growth.

Software Development Engineer II role focused on building and scaling distributed real-time systems for Amazon's Worldwide Returns & ReCommerce operations. The role involves developing software to support complex business requirements, including training machine learning models for automation and optimization, and piloting product evaluations. Emphasis on Java, object-oriented design, and distributed databases.

Software Development Engineer II role focused on building and scaling distributed real-time systems for Amazon's Worldwide Returns & ReCommerce operations. The role involves developing software to support complex business requirements, including training machine learning models for automation and optimization, and piloting product evaluations. Emphasis on Java, object-oriented design, and distributed databases.

This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks.

This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks.

Principal Solutions Architect for AWS Strategic Accounts, focusing on designing and implementing AI and Analytics solutions for customers. This role involves deep customer engagement, architectural guidance, and influencing product roadmaps, with a strong emphasis on generative AI, data strategy, and adoption patterns.

Solutions Architect III for AWS, focusing on guiding customers in designing and implementing cloud architectures, including Generative AI solutions like Amazon Bedrock. The role involves technical leadership, trusted advisory, influencing product roadmaps, and creating thought leadership content.

This role is for a Sr. OpenSearch Specialist Solutions Architect at AWS. The primary focus is on advising customers on designing and deploying scalable, secure, and performant search, analytics, and Generative AI solutions using Amazon OpenSearch. The role involves architectural reviews, migration assessments, and collaborating with product and sales teams to influence roadmaps and drive customer adoption. It also includes community building and creating enablement resources.

Senior Financial Analyst role at AWS focused on sales pipeline analysis and revenue forecasting. The role involves modeling financial data, building reporting mechanisms, and developing analytical frameworks. A key responsibility is to build automated, GenAI-powered reporting and analysis workflows to accelerate pipeline insight generation, indicating the use of AI tools to enhance existing financial analysis processes.

The role involves reviewing and tagging image/video content for machine learning models, acting as a human-as-sensor to support ML technology. It requires high attention to detail, speed, and accuracy in performing repetitive tasks to meet productivity and quality targets.

This role is for a Senior AI Specialist Sales professional at AWS, focused on driving the adoption of AWS's AI services, particularly Generative AI and Agentic AI, within ISV/DNB sectors. The individual will engage with C-level executives to bridge business strategy with technical implementation, develop business cases, and own revenue targets. While the role involves deep AI/ML expertise and understanding of the AI value chain, its core function is sales and driving adoption, not direct AI/ML model development or research.

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.

Research Scientist role focused on measuring and optimizing marketing activities for Amazon Music using causal models and RCTs. The role involves designing, building, and validating causal models, conducting randomized controlled trials, performing statistical analysis, and providing data-driven recommendations to marketing teams. It requires a strong background in consumer research, causal inference, and statistical analysis, with the ability to translate complex data into actionable insights.

This role is for a Senior Product Manager Technical within AWS Applied AI Solutions, focusing on AWS Deadline Cloud. The primary responsibility is to define and drive the product strategy, roadmap, and go-to-market for a cloud-based render management service. The role involves working with customers, engineering, and go-to-market teams to deliver features, with a specific emphasis on identifying and integrating AI/ML capabilities to enhance the service, such as AI-powered troubleshooting and intelligent scheduling. The role operates in a fast-paced, startup-like environment within AWS, aiming to make cloud rendering simple, scalable, and cost-effective for creative professionals.

This role supports the AWS Cloud Innovation Center (CIC) by building and maintaining a pipeline of technical prototyping engagements for student workers, organizing executive innovation events, and contributing to the program's broader growth strategy. The goal is to enable student developers to build scalable solutions for public sector organizations, accelerating their cloud and AI journey.

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.

This role focuses on guiding EMEA's leading Banking and Payments customers in accelerating their adoption of AI and Cloud technologies within the AWS Financial Services Industry Business Unit. The specialist will act as a strategic partner, lead pre-sales activities, identify requirements for new offerings, and conduct executive workshops. The role emphasizes business development and domain expertise, ensuring financial institutions innovate while meeting strict security and compliance standards, with a focus on Generative AI and customer experience transformation.

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.

This role is for a Senior Product Manager, Technical, focused on creating and building critical services that automatically generate, target, and optimize Amazon's cross-category marketing and merchandising using generative AI. The role involves leading projects with distributed systems, generative AI integration, real-time personalization, and multi-channel orchestration, impacting how customers discover products at scale.

This role focuses on driving the adoption of AWS AI and Cloud technologies within the EMEA Financial Services Industry, specifically targeting capital markets clients. The specialist will act as a trusted advisor, partnering with sales teams to identify opportunities, engage stakeholders, and translate emerging technologies into customer-relevant solutions. The role emphasizes business development, domain expertise, and ensuring security and compliance.

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 a Senior Product Manager on Amazon's Selection Monitoring team, focusing on improving customer experience by enabling agentic shopping experiences, growing brand and product selection, and enriching catalog information. The role involves leading product strategy, defining roadmaps, working with engineering teams, and applying ML/GenAI solutions to manage a massive product catalog. The primary focus is on delivering customer-facing products and features related to product selection and information enrichment.

This role owns and scales a partner-led AI prototyping program for AWS, focusing on scaling proven AI patterns like LLMs, RAG, and autonomous agents through technology partners. The TPM will design and run enablement programs, create reusable assets, and track KPIs to drive AI adoption.

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.

The Principal Technical Program Manager will lead strategic initiatives for the Alexa AI Developer Tech team, focusing on building AI-native SDKs and tools for developers to create engaging customer experiences for Alexa+. This role involves managing programs across cross-functional teams, driving technical requirements, and ensuring the successful launch of new features for a next-generation AI assistant.

This role is a Senior AI Specialist Sales professional for AWS, focused on driving the adoption of AWS AI services within the ISV sector in India. The individual will engage with C-level executives to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation. Responsibilities include leading executive briefings, driving adoption of AI services, solution design, sales execution, and thought leadership. The role requires deep AI/ML expertise and sales success, with a focus on business outcomes and revenue targets.

This role is for a Sr. Customer Solutions Manager at Amazon Web Services (AWS) in the UK & Ireland. The primary responsibility is to guide large and complex customers through their cloud adoption journey, ensuring effective collaboration between AWS teams and the customer. The role involves acting as a trusted partner, leveraging transformation expertise, and driving customer education, governance, and migration planning. A key aspect is proactively solving customer challenges with new ideas and providing guidance on their Generative AI strategy. The role requires strong delivery and change management background, excellent problem-solving abilities, and exemplary communication skills.