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.
Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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. Post-Silicon Systems Software Validation Engineer, Annapurna Labs This role focuses on validating next-generation machine learning accelerators for AWS, covering the full vertical stack from silicon to system. The engineer will be responsible for developing validation strategies, executing test plans, debugging hardware and software, and collaborating with cross-functional teams to ensure the quality and performance of AI/ML accelerators used in AWS data centers. | Serve | 7 |
| Principal Applied Scientist, Personalization Principal Applied Scientist role focused on building next-generation personalized shopping experiences at Amazon using LLMs, transformer models, and large-scale ranking systems. The role involves innovating features and models, leading science innovation, driving the science roadmap, and mentoring scientists. It aims to create a personalized shopping experience tailored to customer intent and product catalog understanding. | Ship |
| 7 |
| Sr. Software Development Engineer, Annapurna Labs Senior Software Development Engineer at Amazon Annapurna Labs focused on leading a technical team to develop profiling and optimization tools for the Neuron ML accelerators fleet. The role involves working with hardware and software teams to identify bottlenecks and provide recommendations for improving performance of large ML workloads, including custom kernels. | Serve | 7 |
| Sr. AI ML Consultant, Tech & Industry, Tech & Industry This role involves designing, implementing, and managing AWS solutions, with a focus on AI/ML and GenAI models. The consultant will act as a trusted advisor to customers, providing technical expertise and guidance on cloud journeys, including migrating to AWS and deploying production-grade ML solutions. The role requires hands-on experience with building, validating, and deploying GenAI models, as well as serving ML models through real-time APIs. | AgentServe | 7 |
| Software Development Manager, LLM Inference Model Enablement, Neuron SDK Software Development Manager to lead a team optimizing LLMs for inference on AWS custom accelerators (Neuron, Trainium, Inferentia). Focus on improving model enablement speed, experience, usability, and quality through features, infrastructure, tools, and automation. Requires strong background in LLM architectures, performance optimizations, and distributed inference. | Serve | 7 |
| Software Development Engineer, ML Systems, Annapurna Labs Software Development Engineer focused on ML Systems within Amazon Annapurna Labs, working on AWS Neuron software for ML chips (Inferentia and Trainium). The role involves building and applying AI agents to accelerate customer adoption of this technology, optimizing performance, durability, cost, and security for AWS customers. | Serve | 7 |
| Senior ML Kernel Performance Engineer The Annapurna Labs team at Amazon is seeking a Senior ML Kernel Performance Engineer to optimize deep learning and GenAI workloads on Amazon's custom ML accelerators (Inferentia and Trainium). This role involves crafting high-performance kernels, pushing the boundaries of AI acceleration at the hardware-software boundary, and collaborating with customers to enable their models. The engineer will work on compiler optimizations, performance analysis, and contribute to future architecture designs. | Serve | 7 |
| Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Senior ML Kernel Performance Engineer for AWS Neuron SDK, focusing on optimizing deep learning and GenAI workloads on custom ML accelerators (Inferentia, Trainium). The role involves designing and implementing high-performance compute kernels, optimizing performance at the hardware-software boundary, and collaborating with customers and internal teams on model enablement and acceleration. | Serve | 7 |
| Sr. Applied Scientist, Prime Video - Personalization and Discovery Science This role focuses on developing and launching end-to-end AI solutions for Prime Video's search and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The scientist will design and conduct experiments, collaborate with engineers and product managers, and publish research findings. The role is within the consumer domain, aiming to improve customer experience for millions of users. | Ship | 7 |
| Senior Machine Learning Compiler Engineer Senior Machine Learning Compiler Engineer responsible for the ground-up development and scaling of a deep learning compiler stack for Amazon's ML accelerators (Inferentia and Trainium). The role involves architecting and implementing business-critical features, optimizing neural net models for custom hardware, and integrating with ML frameworks like PyTorch and TensorFlow. | Serve | 7 |
| Software Development Engineer III, Annapurna Labs Software Development Engineer III at Amazon Annapurna Labs, focusing on building and applying AI agents to simplify and accelerate customer adoption of AWS Neuron ML chips (Inferentia and Trainium). The role involves solving complex technical problems, designing and implementing innovative software solutions, and working with external and internal customers to identify adoption obstacles and opportunities in the Generative AI space. | Agent | 7 |
| Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs This role is for a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, focusing on the development and scaling of a compiler for ML accelerators. The role involves architecting and implementing features for a deep learning compiler stack that optimizes neural network performance on custom AWS hardware, integrating with frameworks like PyTorch and TensorFlow. The goal is to provide significant performance improvements for large-scale ML workloads. | Serve | 7 |
| Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs Manager III leading a team of compiler engineers to develop, deploy, and scale a compiler targeting AWS Inferentia and Trainium ML accelerators. The role involves technical leadership, innovation, and collaboration with AWS ML services teams to ensure the Neuron SDK meets customer needs for high performance, low cost, and ease of use. Deep knowledge of resource management, scheduling, code generation, and optimization is required. | Serve | 7 |
| Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Senior Software Development Engineer focused on pre-silicon hardware/software co-development for next-generation machine learning chips (like Trainium) used in AWS. The role involves working with architecture, design, and emulation teams, writing bare-metal software and ML workloads to verify chip functionality and performance. | Data | 7 |
| Software Development Manager, Featured Merchant Algorithm Manage a team responsible for the machine learning models and algorithms that select the featured offer ('Buy Box') on Amazon's product pages, influencing customer purchase decisions across billions of daily interactions worldwide. This role involves technical direction, stakeholder management, and driving the customer buying experience. | Ship | 6 |
| Data Scientist II, SCOT OSS - Sourcing Execution & Performance Data Scientist II role focused on building AI/ML models and Gen AI solutions for supply chain optimization, including inventory planning, dispute evaluation, and vendor coaching. The role involves developing analytical frameworks, setting optimal parameters, and collaborating with cross-functional teams to implement and automate science solutions. | Agent | 6 |
| Applied Scientist, Execution and Planning Science Applied Scientist role focused on building and implementing scalable algorithms for automated decision-making in Amazon's Last Mile delivery operations, specifically for associate labor planning, supply chain optimization, and improving cost, reliability, and speed. The role involves designing, modeling, developing, and implementing state-of-the-art models and solutions, feeding strategic analyses, and being part of production systems. | Agent | 6 |
| Senior Process Engineer, Workforce Staffing This role focuses on process engineering and continuous improvement within Amazon's Workforce Staffing (WFS) organization. The Senior Process Engineer will set strategic direction for process engineering, drive variation reduction, automation, and AI adoption across recruiting workflows. Responsibilities include optimizing manufacturing and corporate processes using Lean/Six Sigma, championing AI/ML opportunities, building business cases for automation, and leading technology implementations. The role also involves establishing quality management systems and mentoring other engineers. | — | 5 |
| SDE II, Neuron Infra Services Software Engineer role focused on developing and optimizing services for AWS Inferentia and Trainium machine learning accelerators. Responsibilities include leading the design and implementation of tools, pipelines, and automation for ML workloads, managing infrastructure, monitoring performance, and ensuring security. Requires experience with distributed systems, ML optimization, and cloud technologies. | — | 5 |
| Business Analyst Support, IN Consumer Inputs The Business Analyst Support role focuses on building data infrastructure and pipelines to power agentic AI solutions. This involves creating single sources of truth, optimizing data for AI consumption, and ensuring data quality and governance for AI-powered systems. The role requires strong SQL, ETL, and data architecture skills, with a focus on enabling self-service intelligence and automated insights. | Agent | 5 |
| Sr. Solutions Architect, Public Sector New Zealand Solutions Architect for AWS Public Sector in New Zealand, focusing on designing and advising government agencies on cloud solutions, including AI/ML services, to accelerate cloud adoption and improve citizen services. This is an advisory role, not hands-on delivery. | — | 5 |
| Software Development Engineer, Sponsored Product and Brands Sourcing Delivery Software Development Engineer role focused on building and optimizing high-throughput, low-latency distributed systems for Sponsored Products ad delivery at Amazon. The role involves working at the intersection of search architecture, information retrieval, NLP, and deep learning at massive scale to improve ad coverage, relevance, and performance. It requires designing, developing, and operating these systems, handling billions of requests per day with millisecond response times, and innovating in core areas to advance ad matching capabilities. The team is also re-imagining advertising through generative AI technologies. | Ship | 5 |
| Software Development Engineer (Java&AWS), Ring Software Development Engineer (Java&AWS) for Ring backend team, focusing on designing, implementing, and testing low-latency, high-uptime distributed systems and microservices. The role involves leveraging generative AI tools to improve development processes and will contribute to the next generation of Ring applications and services. | — | 5 |
| Principal Planning Integration, Fleet Demand, EU Fleet Supply Chain The role focuses on re-engineering an automated forecasting model (Fleet Requirement Planning - FRP) for Amazon's EU fleet. Key responsibilities include integrating new van requirements, moving to clustering, probability-based modeling, and agentic AI, scaling optimization models with a focus on operational costs, evolving the user interface to a dashboard, integrating new supply channels, and scaling the FRP to Middle Mile. The role also involves developing a 'digital twin' for 'what-if' analysis and supporting critical business decisions. | Data | 5 |
| Senior Cost Engineering Manager, Cost Engineering This role focuses on leading cost engineering for large-scale construction projects, with a significant component of co-developing AI-powered tools to enhance cost intelligence and procurement processes. The individual will work alongside AI/ML teams, curate data, and validate model outputs, aiming to scale the impact of cost engineering through intelligent automation. | Data | 5 |
| Sr. Software Dev Engineer, AWS OpenSearch Service This role is for a Senior Software Development Engineer on the Amazon OpenSearch Service Control Plane team. The team manages a large fleet of cloud-native OpenSearch clusters, focusing on reliability, scalability, and automation. The role involves driving architectural decisions for large-scale distributed systems, leading design and development of complex services, and contributing to the OpenSearch project. A key aspect is building and applying AI fluency across the software development lifecycle, including using AI for code assistance and validation. The role also includes operational responsibilities and mentoring engineers. | — | 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 scalable distributed systems. The team's mission is to reduce returns, costs, and waste by developing products and driving operational excellence. This includes training ML models for routing and optimization, inventing new channels for product reuse, and improving the customer returns experience. The engineer will work on complex problems, provide technical leadership, and drive best practices. | Data | 5 |
| Software Development Engineer, PXT Case Management System Software Development Engineer role focused on building AI-powered capabilities within Amazon's HR support platform, leveraging AWS services to automate tasks and provide recommendations. The role involves end-to-end platform feature design and development, integration with HR systems, and ensuring operational health. | Agent | 5 |
| Ring CS - Salesforce Developer, Ring/Blink CS Technology Enablement This role focuses on designing and implementing Salesforce solutions within AI initiatives, integrating with AWS AI services to improve customer service efficiency through AI-powered automation. The primary focus is on Salesforce development and integration, not direct AI model building. | — | 5 |
| Software Development Engineer II, SKG Team Software Development Engineer II on the SKG team within AWS Infrastructure Services. This role focuses on building intelligent systems to automate the triage, analysis, and routing of operational alarms in data centers, leveraging generative AI and integrating with services like Amazon Bedrock. The engineer will own features end-to-end, including design, coding, testing, deployment, and operation, with a focus on applied engineering and orchestrating AI services. | Agent | 5 |
| MLA Design Verification Engineer I, Annapurna Labs This role focuses on the design verification of hardware for machine learning acceleration, specifically mentioning AWS Inferentia. While it deals with hardware that runs ML models, the core responsibility is in hardware verification and design, not in developing or deploying ML models themselves. | — | 5 |
| Sr. Hardware Engineer - ML Acceleration, Annapurna Labs Hardware Design Engineer role focused on the definition, design, and validation of AWS next-generation ML Chips, Cards, and server integration. The role involves designing and optimizing hardware in data centers, with a focus on PCIe and Serdes topics for custom platforms within AWS datacenters. This position requires leadership in applying new technologies to large-scale server deployments to improve product performance, quality, and cost. | — | 5 |
| Sr. Technical Program Manager, Amazon Ads - Media Planning This role is for a Senior Technical Program Manager at Amazon Ads, focusing on the media planning platform and Demand Side Platform (DSP). The individual will lead cross-functional programs, define technical requirements, develop roadmaps, and drive operational excellence. The role involves working with engineering, product, and applied scientists on AI-powered planning tools and agentic AI experiences, impacting billions in advertising revenue. | Agent | 5 |
| Sr. Solutions Architect, Hi-Tech and Semiconductor Solutions Architect for AWS, focusing on driving adoption of AWS services, including Generative AI and Agentic AI, with enterprise customers in the Hi-Tech and Semiconductor industry. The role involves building technical relationships, providing recommendations on cloud architecture, and educating customers on AWS technologies. This role is customer-facing and involves understanding customer needs to inform AWS roadmaps. | — | 5 |
| Senior Security Solutions Architect, AWS Security & Networking - North America This role is for a Senior Security Solutions Architect at AWS, focusing on helping customers migrate workloads to the cloud and secure their generative AI applications. The role involves providing security expertise, designing and building solutions for security, risk, and compliance on AWS, and advising on identity and access management for both workforce and customer identities. The candidate will also develop technical artifacts, convey best practices, and mentor other AWS teams on security. | — | 5 |
| Operations Manager, Search - AI Data Operations Manager for AI Data at Amazon Search, focusing on leading a large team to deliver high-quality data annotation for ML models that power the customer search experience. The role involves managing operations, driving business metrics, partnering with applied science teams, and ensuring data quality for ML model training. | Data | 5 |
| Associate, ML Data Operations, GO-AI Operations This role is for an Associate, ML Data Operations, focusing on data annotation for Amazon Robotics. It's a non-technical role that supports the training and validation of ML models by performing precise annotation tasks on image, video, and text data. The work involves object detection, segmentation, tracking, and evaluation, with a strong emphasis on data integrity and quality. | Data | 5 |
| Sr. Business Intelligence Engineer This role is for a Sr. Business Intelligence Engineer at Amazon Business, focusing on building measurement, reporting, and analytics foundations. The goal is to support data-driven decisions and emerging generative AI experiences within the B2B space. The engineer will develop data models, visualization products, and reporting solutions, partnering with various teams to define metrics and drive insights. While the role supports AI initiatives and uses AI tools, its core craft is business intelligence and analytics engineering, not direct AI/ML model development. | — | 5 |
| Data Engineer I, SSD/ R2L Infrastructure Data Engineer role focused on building and maintaining data pipelines and infrastructure, with a specific emphasis on contributing to generative AI initiatives and AI-enabled tools. Requires experience in data engineering, ETL, SQL, and scripting languages, with a plus for AWS and generative AI tool familiarity. | Data | 5 |
| Sr. Software Development Engineer, Amazon Athena - Engine Senior Software Development Engineer role focused on enhancing Amazon Athena by providing customers with insights into their query performance, cost, and potential issues. The role involves leveraging AI/ML experience to drive optimizations and developing new capabilities within the Athena query engine and its distributed systems. | Serve | 5 |
| Lead SDE C/C++ Hardware/Software Co-Design, Machine Learning Acceleration Systems Lead SDE C/C++ role focused on hardware/software co-design for ML acceleration systems, developing bare metal firmware for custom ASIC-based ML Accelerator chips. The role involves working at the intersection of hardware and software, collaborating with design teams, and driving best practices in embedded development for ML infrastructure. | — | 5 |
| Software Development Engineer, Alexa Customers & Technology Software Development Engineer role focused on building next-generation Amazon Echo devices, involving system architecture, feature development, performance optimization, and firmware for embedded systems. The role also emphasizes driving the adoption of Generative AI tools within the software development lifecycle. | — | 5 |
| Senior Software Development Engineer, AWS Config Senior Software Development Engineer role focused on building agentic AI solutions for automating the lifecycle of AWS resource type onboarding. The role involves designing and building AI agent orchestration systems, working with large-scale distributed systems, and reasoning about AWS service APIs to automate tasks with minimal human intervention. | Agent | 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 to enhance labeling quality. The role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions. | 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 role requires strong analytical skills, attention to detail, and the ability to interpret and implement detailed instructions. | Data | 5 |
| AI Data Associate (Dutch) , 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. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing error patterns, and proposing solutions to enhance labeling quality. The goal is to support the responsible development and deployment of generative AI and LLMs. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation across various data modalities (text, speech, audio, image, video). The role involves delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to enhance labeling quality. It requires strong attention to detail, analytical thinking, and the ability to interpret and implement detailed instructions. | Data | 5 |
