Amazon

Software Development Engineer role focused on designing, architecting, and implementing machine learning solutions for audio ad systems at Audible. The role involves optimizing ad serving pipelines, real-time ad serving, and conversational AI integration, with a focus on scalable systems and customer experience.

Solutions Architect role focused on driving enterprise AI and agentic adoption by helping customers design and scale multi-agent workflows, generative AI applications, and AI-powered automation on AWS. This role involves guiding organizations through cloud migration and modernization, accelerating deployment from experimentation to enterprise-wide, and working with sales and partner networks.

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 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 delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to improve labeling quality and processes. This position is crucial for the responsible development and deployment of AI at Amazon.

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.

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.

Data Engineer II role focused on designing, building, and evolving data capabilities for Sales Planning and Compensation (SPC) within AWS. The role involves end-to-end data solutions, including ingestion, transformation, and analytics, with an emphasis on incorporating generative AI practices to enhance efficiency and decision-making. Key responsibilities include developing data pipelines, building data models, optimizing infrastructure, and leveraging AWS GenAI services like Amazon Bedrock and Amazon Q.

Software Development Engineer role focused on applying AI/ML to complex business problems within the Vendor Funding team at Amazon. The role involves leveraging generative AI tools to enhance workflow efficiency and integrate AI solutions into products and services to drive business value. While the company is exploring AI integration, the core responsibilities are in software development and applying existing AI tools rather than building core AI models.

This role is for a Back End Data Engineer focused on designing, developing, testing, and deploying Supply Chain Application and Process Automation within AWS Infrastructure Services. The engineer will collaborate with business leaders, BI engineers, and data scientists to architect solutions, identify automation opportunities, and build scalable applications using AWS technologies. A key responsibility is enhancing analytical maturity by incorporating predictive and prescriptive analytics using machine learning and optimization techniques, and designing data pipelines for ETL/ELT processes.

Solutions Architect role focused on helping SMB and Enterprise customers across LATAM with their cloud journey, including migration, modernization, and building cloud-native solutions. The role involves exploring and demonstrating how GenAI and Agentic AI can drive business value, turning ideas into prototypes and production-ready architectures. It requires strong technical depth, customer partnership, and the ability to communicate complex ideas.

Senior Solutions Architect for AWS Public Sector in Singapore, focusing on designing and implementing cloud-based solutions that meet customer business needs. The role involves collaborating with customers and internal teams to accelerate the adoption of AWS technologies, including AI/ML, microservices, and containers. Key responsibilities include acting as a trusted technical advisor, evangelizing AWS services through presentations and content creation, and shaping product direction based on customer feedback. The role requires strong technical and interpersonal skills, with an emphasis on learning new technologies and conveying business value.

Software Development Manager for Prime Video's Title Lifecycle Presentation & Science team. This role leads a team of engineers and applied scientists responsible for presenting content to customers, using applied science, experimentation, and data signals. The manager will own team execution, delivery, technical direction, drive experimentation, manage ML-powered feature delivery, and navigate cross-team dependencies. Requires experience leading combined engineering/science teams, delivering through experimentation, managing dependencies, and strong technical judgment in distributed systems and ML productionization.

Director of AWS Database, Analytics & Storage Solutions Architecture leading a global team to drive technical customer engagement, solution design, and adoption across AWS's data portfolio, with a focus on preparing data for the agentic AI era and leveraging AI/agentic technologies to enhance SA effectiveness.

Amazon is seeking a Supply Chain Sr. Data Scientist to develop models, tools, and processes for optimizing logistics in Brazil. The role involves continuous improvement projects, developing optimization models for planning and high-demand periods, and automating manual processes. The ideal candidate has strong quantitative skills and experience with complex datasets, focusing on end-to-end supply chain considerations.

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.

Solution Architect for startups at AWS, focusing on helping early-stage companies build scalable and secure cloud architectures, with a focus on Generative AI and Cloud Computing.

Solution Architect for startups, focusing on AWS cloud adoption and Generative AI. The role involves working with early-stage companies to design scalable and secure architectures, acting as a trusted advisor, and advocating for product improvements. It also includes creating technical content and presenting at events.

This role is for a Legal Program Manager at Twitch, responsible for managing legal compliance initiatives and driving the adoption of AI-powered solutions within the legal team. The role involves planning, coordinating, and tracking initiatives, translating legal recommendations into actionable workstreams, and facilitating stakeholder meetings. While the role focuses on deploying AI tools, it is not a core AI/ML development role.

Software Development Manager for Amazon's Merch on Demand business, leading a team responsible for the Merch Portal and Kit Your Team programs. The role involves managing engineers, owning technical vision, driving expansion into new markets, and operating large-scale production systems. While the team utilizes AI for store creation, the core focus is on product development and management of existing large-scale systems.

This role involves working with early-stage generative AI startups to help them leverage AWS technology for developing, training, tuning, and deploying foundation models. The role requires providing technical guidance, architecting solutions, supporting the adoption of AWS services, and advocating for customer needs with product teams. It also involves creating technical content and presenting at events.

This role focuses on data science for Prime Video Sports, shaping customer discovery and experience through measurement frameworks, experimentation systems, and analytical foundations for Search, Recommendations, and live broadcasts. It involves large-scale experimentation, novel measurement methodologies, and data-driven decisions to address challenges in live, time-sensitive content and customer engagement.

This role focuses on building Business Intelligence solutions, including AI-powered agents and dashboards, to drive operational excellence and automate processes within Amazon's HR and AWS Region Services. It involves data engineering, ETL pipeline development, and leveraging AI/ML use cases to enhance workforce analytics and reporting.

This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. The Ontologist will create semantically rich data models, ensure machine ingestion and inference capabilities, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience by understanding customer intent and product data.

This role focuses on building and operating large-scale data processing systems that power catalog intelligence across Amazon. It involves applying machine learning and deep learning algorithms to evaluate and enrich product data, enabling data-backed decisions and improving customer experience. The role requires developing data processing pipelines, Information Retrieval (IR) systems, and handling diverse data streams at Amazon's global scale.

This role is for a Sr. Solutions Architect in Healthcare & Life Sciences (HCLS) at AWS. The primary focus is on designing and architecting cloud solutions for HCLS customers, with a significant emphasis on leveraging Artificial Intelligence, Machine Learning, and Generative AI to address industry-specific challenges and accelerate adoption of AWS services. The role involves customer-facing technical design guidance, prototyping, and supporting migration efforts, with a specific mention of building Generative AI prototypes for drug discovery.

This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focused on the Healthcare industry. The primary responsibility is to help healthcare providers implement innovative cloud computing and AI solutions, solve technical problems, and enhance patient and clinician experiences. The role involves owning technical engagements, defining implementation architectures, responding to RFPs, and acting as a subject matter expert on security. While the role involves working with AI solutions, the core craft is not building AI models but rather architecting and implementing cloud solutions that leverage AI for healthcare clients.

Software Engineer II role focused on building and operating large-scale data processing systems for Amazon's catalog intelligence. The role involves applying ML/DL algorithms, designing data pipelines, and ensuring data quality for business decisions. It emphasizes data engineering, real-time/batch processing, and distributed systems at cloud scale.

This role focuses on designing and implementing cloud architectures, particularly leveraging AI/ML and Generative AI, for Healthcare and Life Sciences customers on AWS. The Solutions Architect will build prototypes, provide technical guidance, and create reference architectures to accelerate customer adoption of AWS services in the HCLS domain.

Senior Solutions Architect for Healthcare & Life Sciences (HCLS) at AWS, focusing on designing and delivering cloud architectures that leverage AI/ML and Generative AI for HCLS customers. The role involves customer engagement, building prototypes, educating customers on AWS capabilities, and staying current with emerging AI/ML technologies to provide guidance and reference architectures. It also includes collaborating with account management, professional services, and product teams.

This role is for a Software Development Manager on the AWS Identity team, focusing on secure identity, access, and resource management for AWS customers. The team leverages machine learning and automated reasoning for access control and aims to build scalable, core technologies for authentication and authorization. The role involves managing and growing an engineering team, driving technical design, and delivering high-performing, reliable systems in a cloud computing environment.

Software Development Engineer II role focused on building modern, cloud-native procurement applications with AI-powered assistance for Amazon's global workforce. The role involves end-to-end feature development, technical decision-making, and collaboration with cross-functional teams.

Software Development Engineer to build cloud services and tools that streamline firmware testing for Ring and Blink device software teams. The role involves integrating these services with firmware teams, including those building agentic workflows, and applying generative AI for test analysis and developer workflows.

Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. The role involves providing technical expertise, guidance on industry trends, and leading project delivery to ensure customer success in their cloud journey. While AI tools for development productivity are mentioned, the core function is cloud solution delivery and customer consulting, not direct AI/ML model development.

This role focuses on working with early-stage startups to help them leverage AWS technology at scale, including deep learning and generative AI. The Solutions Architect will provide technical strategy, design solutions, serve as a trusted advisor, and advocate for customer needs with product teams. The role also involves creating technical content and presenting at events.

Software Development Engineer role focused on building scalable, multi-tiered software applications for Global Real Estate and Facilities Tech at Amazon. The role involves designing and developing systems, leading engineering best practices, driving architectural decisions, and implementing innovative solutions. While the team uses a GenAI-forward approach including AI pair programming and spec-driven code generation, and the candidate is expected to use generative AI tools to enhance workflow efficiency and integrate AI capabilities into products, the core craft of the role is software development for real estate management systems, not building core AI models or agents.

Software Development Engineer role focused on building and evolving a new confidential advertising program using generative AI technologies within Amazon Ads. The role involves prototyping, developing real-time and big data systems, and collaborating with scientists and economists on ML-based approaches to improve advertising experiences.

Software Development Engineer II role focused on building innovative automated solutions for FinTech customers, leveraging AWS cloud, machine learning algorithms, and distributed systems. The role involves driving architectural decisions, developing distributed services, and ensuring scalability and reliability.

This role supports Machine Learning (ML) models and classification algorithm development by performing data annotation, ensuring high-quality annotated data for training and evaluation, and collaborating with product, technology, and science teams. The focus is on data preparation for ML models.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation, supporting data scientists, and ensuring high-quality annotated data for training and evaluation.

This role focuses on building and maintaining production-grade causal inference and machine learning systems for marketing attribution within Amazon's advertising ecosystem. The Data Scientist will own end-to-end modeling pipelines, from problem formulation and experimental design to model development, productionization, and stakeholder communication, aiming to measure marketing effectiveness and drive advertiser growth.

This role is for a Senior Solutions Architect at AWS, focusing on helping enterprise customers in India with their digital transformation journeys using AWS services. The role involves designing cloud architectures, providing technical leadership, and driving revenue growth by understanding and implementing advanced cloud solutions. While the role touches upon various technologies including machine learning and analytics, its core function is in cloud architecture and solution implementation, not direct AI/ML model development.

This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design to enable machine learning execution. The primary focus is on the low-level software that drives the hardware for ML inference.

This role is for a Sr. Technical Program Manager focused on AI/ML hardware, specifically server and rack delivery for accelerator silicon like Trainium. The role involves program managing the design, implementation, and integration of new server generations, working with cross-functional teams (hardware, silicon, firmware, software), and ensuring high-quality hardware and software systems for AI/ML workloads. While the hardware supports AI/ML, the core function is program management of hardware development, not direct AI/ML model building or research.

Software Development Engineer for AWS Identity team to build products combining automated reasoning and technology for IAM Access Analyzer, recommending access control for AWS customers. Focus on designing scalable solutions, delivering customer-facing functionality, and leading projects using data analysis and machine learning techniques.

Software Development Engineer role focused on building backend systems for Ring devices, with an emphasis on low-latency and high-uptime. The role involves designing, implementing, and testing distributed systems and microservices, with a secondary mention of leveraging generative AI tools for development productivity.

Data Scientist III role focused on building and deploying machine learning models for customer segmentation, personalization, and optimization in a consumer retail setting. The role involves applying causal inference, LLMs, and advanced optimization techniques to drive evidence-based decisions and improve customer experiences across various channels. Collaboration with engineering for data pipelines and serving infrastructure is key, with a focus on translating analytical results into actionable business strategies.

Senior Solutions Architect for AWS in Switzerland, focusing on enterprise financial services customers. The role involves leading technical strategy, designing scalable and compliant architectures, and guiding customers in adopting agentic AI workloads, generative AI applications, and intelligent automation. Responsibilities include technical thought leadership, mentoring, and contributing to the AWS knowledge base with best practices and reference architectures for AI/ML implementations and agentic patterns.

Solutions Architect for AWS focusing on enterprise customers in the Retail and Consumer Goods industry. The role involves designing, building, and refining technical solutions, with a focus on applied AI and cloud-based software. Responsibilities include customer interaction, architectural design, and sharing best practices. Experience with Generative AI and agentic AI solutions is preferred.