Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Amazon currently has 1575 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1022 roles), Canada (59 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 683 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. WW Specialist SA, Data Protection, AWS WWSO Security Services This role focuses on providing expert guidance and technical solutions for data protection challenges within AWS, specifically involving encryption, key management, and securing generative AI and agentic workloads. The individual will lead customer engagements, develop technical expertise, and influence product roadmaps by translating customer feedback into requirements. | — | 5 |
| Solutions Architect, Hi-Tech and Semiconductor Solutions Architect role focused on helping enterprise customers adopt AWS cloud services, with a specific emphasis on Generative AI and Agentic AI architectures. The role involves understanding customer needs, recommending cloud solutions, and influencing AWS product roadmaps. | — | 5 |
| MAC Automation & Analytics Engineer, Leo MAC Engineer to build and own the MAC Analyzer and MAC feature automation framework, leveraging ML-based anomaly detection and predictive capabilities for diagnostics and automated validation of MAC features. |
| Data |
| 5 |
| MAC Automation & Analytics Engineer, Leo MAC Engineer to build and own the MAC Analyzer and MAC feature automation framework, leveraging ML-based anomaly detection and predictive capabilities for diagnostics and automated validation of MAC features. | Data | 5 |
| AI Data Associate with French, Artificial General Intelligence – Data Services This role is focused on AI data labeling and evaluation for generative AI and LLMs, working with various data types like text, speech, audio, image, and video. The associate will ensure high-quality labeled data, analyze errors, and suggest process improvements, contributing to the responsible development of AI. | Data | 5 |
| Solutions Architect, Telecom Solutions Architect for AWS focusing on Telecom and Enterprise clients, designing cloud architectures that incorporate ML, Generative AI, and Agentic AI. The role involves customer engagement, strategic guidance, and driving adoption of AWS services, including building prototypes and proof-of-concepts. | — | 5 |
| AI Data Associate with French, Artificial General Intelligence – Data Services The role involves foundational labeling functions for AI data, including dialogue evaluation on speech, text, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements to enhance labeling quality and operational efficiency. The role requires strong analytical thinking, problem-solving, attention to detail, and proficiency in French and English. | Data | 5 |
| Software Development Engineer, Hiring Intelligence, Science & Experimentation (HIRISE) Software Development Engineer role focused on building and launching core product features for Amazon's Intelligent Talent Acquisition (ITA) team. The role involves working with AI systems and machine learning algorithms to improve the hiring process, specifically focusing on online candidate assessments and connecting candidates to jobs. The engineer will drive system architecture and lead development of scalable, high-performance products within a hyper-growth environment. | Ship | 5 |
| HRアソシエイト, WFS Japan This role supports Amazon's global recruitment team by managing the end-to-end hiring process for contract employees in Japan, including supporting shift scheduling for temporary staff. The associate will handle inquiries, organize hiring events, manage relationships with staffing agencies, and ensure accurate record-keeping and process improvement. While the role itself is not directly building AI, it operates within a company that heavily utilizes AI tools to enhance operations and decision-making, and the role involves interacting with and potentially utilizing these AI tools. | — | 5 |
| Senior Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer to drive product and engineering initiatives for conversational ad experiences powered by LLMs. The role involves designing, building, and operating large-scale, low-latency distributed systems, ad serving infrastructure, and data processing pipelines. It requires collaboration with product and science teams to build end-to-end solutions and owning customer-facing functionality for sponsored conversational experiences. | AgentServe | 5 |
| Principal Delivery Consultant - AI/ML, ASEAN Professional Services This role advises enterprise customers on adopting Generative AI, Agentic AI, and Machine Learning on AWS. The Principal Delivery Consultant will act as a trusted advisor to senior leaders, shape AI transformation strategies, lead complex engagements, and oversee the delivery of large-scale AI/ML implementations. The role also involves thought leadership and mentoring delivery teams. | Agent | 5 |
| Support Engineer II, Alexa 3PEO Support Engineer II for Alexa 3P Experiences Quality Monitoring. Responsibilities include technical root cause analysis of customer-reported defects, log analysis, debugging technical issues using tools like APD and LLM traces, creating debugging playbooks for human operators and AI agents, validating outputs from AI-powered monitoring tools, and contributing to bug fixing agent pilot initiatives. The role operates at the intersection of AI tools and human expertise to improve customer experience quality. | Agent | 5 |
| Support Engineer I, Alexa 3PEO This role supports the Alexa 3P Experiences Quality Monitoring team by investigating customer-reported defects, performing log analysis to identify root causes, and supporting issue resolution workflows. The role involves working with AI-powered monitoring tools to ensure quality across Alexa+ experiences and building technical depth in debugging and root cause analysis. | — | 5 |
| Senior RFx Automation Manager This role focuses on automating and improving the RFx response process within AWS by leveraging AI/ML tools, generative AI, and agentic AI. The Senior RFx Automation Manager will own the intersection of process, data, content, and automation, building scalable, self-service tools and mechanisms to eliminate manual orchestration. Key responsibilities include scaling self-service capabilities, analyzing data to identify bottlenecks, building data pipelines, identifying automation opportunities, and managing content architecture. The role requires strong program management, data fluency, business analysis, and content strategy skills, with an emphasis on building programmatic solutions and leveraging emerging technologies. | Agent | 5 |
| Sr. Software Dev Engineer, Web Experiences Senior Software Development Engineer for Amazon Silk browser team, focusing on designing and implementing backend cloud services for intelligent and personalized browsing experiences. The role involves owning API contracts, data models, scaling, latency, and reliability, collaborating with cross-functional teams, and mentoring junior engineers. While the team works with AI, voice, and personalization features, the core role is backend service development for a consumer product. | — | 5 |
| Senior Partner Solutions Architect, SAP Innovation GTM, APJ, AWS Partner Field APJ This role is for a Partner Solutions Architect focused on driving innovation for SAP on AWS, with a strong emphasis on Agentic AI, generative AI, and intelligent automation. The individual will architect and deliver solutions, proofs of concept, and reference architectures, leveraging deep SAP and AWS AI/ML expertise to solve complex customer problems and build partner capabilities. The role involves engaging with C-suite executives and technical practitioners to shape solutions and influence the AWS product roadmap. | Agent | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The role involves foundational labeling functions for AI, including dialogue evaluation on text, speech, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. The goal is to support the development and deployment of generative AI and LLMs. | Data | 5 |
| AI Data Associate with Dutch, Artificial General Intelligence Data Services This role focuses on foundational data labeling for AI, including text, speech, audio, image, and video data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and analyze root causes of errors to improve labeling tasks. The role involves daily operational deliverables, floor support, and contributing to the responsible development of generative AI. | Data | 5 |
| Games Partner Solutions Architect, Partner & Industry Specialists This role is for a Senior Partner Solutions Architect within Amazon Web Services (AWS), focusing on the Media, Entertainment, Games & Sports (MEGS) sector, specifically the Video Games industry. The individual will shape industry solution strategies with AWS partners, focusing on repeatable solutions for line-of-business use cases. Responsibilities include technical sales, evangelizing solutions, providing architectural guidance, and accelerating customer cloud adoption. While the role involves discussing AI/ML applications in games (generative AI, player behavior modeling, matchmaking, anti-cheat), the core function is not building AI models but enabling partners and customers to leverage AWS services, including AI/ML, for their game development and operations. | — | 5 |
| Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects This role is for a Sr. GenAI/ML Specialist Solutions Architect who will help customers design and implement solutions using AWS AI/ML services, focusing on Generative AI use cases. The role involves understanding customer needs, recommending appropriate AWS services (like SageMaker and Bedrock), acting as a technical liaison, and driving adoption of these services. | Serve | 5 |
| Software Dev Engineer II, Customer Service Security Software Development Engineer II on the Customer Service Application Security team at Amazon. This role focuses on building innovative security solutions using AI/ML technologies, prompt engineering, and security frameworks to automate security processes, secure applications and data, and enable developers to ship secure code quickly. The engineer will architect and develop AWS solutions, build reusable security libraries and tools, and collaborate with security and development teams. | Agent | 5 |
| Senior Software Development Engineer, Engagement Security Senior Software Development Engineer to build and operate large-scale, distributed systems that power internal security services, including supporting AI/ML workloads and LLM applications. The role focuses on designing, implementing, and operating infrastructure and tooling that enable AWS teams to deliver securely, with an emphasis on automation, operational health, and leveraging AI for service improvement. | Serve | 5 |
| Senior Solutions Architect, ISV - Israel This role is for a Senior Solutions Architect on the AWS Global Sales team, focusing on ISV customers in Israel. The primary responsibility is to help customers adopt and leverage AWS cloud services, architecting solutions, and providing technical guidance. While Generative AI and Data Analytics are mentioned as areas of depth, the core function is customer-facing technical sales and architecture, not direct AI/ML model development or deployment. | — | 5 |
| AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation across text, speech, audio, image, and video data. This 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 role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The role involves foundational labeling functions for AI, including dialogue evaluation on text, speech, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. The goal is to support the development and deployment of generative AI and LLMs. | Data | 5 |
| Software Development Engineer, AWS Identity Software Development Engineer on the AWS Identity team, focusing on IAM Access Analyzer. The role involves building products that combine automated reasoning and machine learning to recommend and manage access control for AWS customers. Responsibilities include designing, implementing, and deploying systems, defining solutions for data processing and ML, and developing customer-facing capabilities using automated reasoning and ML techniques. | Agent | 5 |
| Software Development Engineer II, DynamoDB Software Development Engineer II on the DynamoDB Capacity and Customer Entitlement team, responsible for designing and building production systems that optimize capacity planning and fleet scaling for DynamoDB's infrastructure. This role involves working on challenging distributed systems problems, building automated scaling algorithms, capacity management tools, and operational workflows. A key aspect is building ML-integrated prediction systems for demand forecasting and capacity allocation, and also leveraging AI coding tools to improve development velocity and code quality. | Serve | 5 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will focus on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets to advance NLP and ML. Responsibilities include designing data collection tasks, analyzing data for insights, building data analysis tools, and collaborating with scientists to evaluate language models. | Data | 5 |
| Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions, particularly with Amazon Connect and Lex. The role involves acting as a trusted advisor to customers, guiding them through their cloud journey, providing technical expertise, and ensuring successful project delivery. Requires experience in cloud architecture, contact center technology, and conversational AI frameworks. | — | 5 |
| Robotics - Software Development Engineer Software Development Engineer role focused on robotics at Amazon, involving the design, development, and testing of software components that interact with fulfillment center technologies like robotics, material handling equipment, computer vision, and cloud services. The role also involves leveraging GenAI and AI-powered tools to enhance development productivity. | Ship | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services 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. | — | 5 |
| Software Development Engineer, AWS Central SDE Team 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. | Serve | 5 |
| Software Development Engineer, AWS Central SDE Team 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. | Serve | 5 |
| Software Development Engineer II, WW Returns and ReCommerce 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. | Data | 5 |
| Software Development Engineer-II (SDE 2), Worldwide Returns & ReCommerce - OpsEval 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. | Data | 5 |
| AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services 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. | Data | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services 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 | 5 |
| Software Dev Engineer II, Creative X 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. | Ship | 5 |
| Software Development Engineer 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. | — | 5 |
| Software Development Engineer 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. | — | 5 |
| Sr Business Intelligence Engineer, FBA Analytics 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. | — | 5 |
| Software Development Engineer, AWS 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. | Serve | 5 |
| Sr. Solutions Architect, Solutions Architecture 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. | — | 5 |
| Solution Architect, Startups 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. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services 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. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services 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. | — | 5 |
| Solutions Architect, Financial Services, Solutions Architecture 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. | — | 5 |
| Software Development Engineer II, WW Returns and ReCommerce 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. | Data | 5 |
| Applied Scientist - Operations Research/Optimization, Sales Planning and Inventory Optimization Science 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. | Ship | 5 |
| Software Development Engineer, Amazon 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. | Data | 5 |