Currently tracking 1110 active AI roles, down 16% 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 1573 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), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). 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 (1023 roles), Canada (59 roles), United Kingdom (47 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 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Development Engineer, Machine Learning Networking Performance Software Development Engineer focused on Machine Learning (ML) Network Performance within AWS Infrastructure Services. The role involves measuring and improving the performance of hyperscale data center networks, developing metrics and benchmarking systems for ML networks, and creating innovative solutions to enhance ML customer experiences. Requires expertise in network routing, transport protocols, network hardware forwarding design, and ML workloads. | Serve | 5 |
| Software Development Engineer, AI/ML Engineering Team Software Development Engineer on an AI/ML Engineering Team at Audible, focusing on the design, development, and implementation of machine learning solutions and ML infrastructure components. The role involves writing code for ML applications, supporting testing, debugging, and deployment of ML systems. | Serve |
| 5 |
| Software Development Engineer, AWS This role is for a Software Development Engineer (SDE) within Amazon Web Services (AWS), focusing on Artificial Intelligence/Machine Learning. The candidate will design, develop, and maintain code, implement complex software solutions, and collaborate with cross-functional teams. While the role is within AWS and touches on AI/ML, it's a general SDE role with a specialization option in AI/ML, implying a focus on building and serving AI systems rather than cutting-edge research. | Serve | 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 |
| Software Development Manager, Leo MAC, Leo Software Development Manager to lead a team building a MAC Analyzer tool that uses ML-based anomaly detection and predictive capabilities for network diagnostics, and an automation framework for MAC features. The role involves people leadership, automation, data analytics, and ML integration to improve diagnostic processes and ensure feature validation. | Serve | 5 |
| Software Development Engineer II, SES Software Development Engineer II role within AWS Applied AI Solutions, focusing on building and improving backend and customer-facing email services. The role involves developing reliable, scalable, and fault-tolerant solutions, collaborating with other engineers and technology leaders, and contributing to strategic planning. Requires experience with ML/LLM fundamentals, including architecture, training/inference lifecycles, and optimization. | Serve | 5 |
| Software Development Engineer II, SES Software Development Engineer II role within AWS Applied AI Solutions, focusing on backend and customer-facing systems for Amazon Simple Email Service (SES). The role involves building reliable, scalable solutions, collaborating on complex technical challenges, and contributing to strategic planning. Requires experience with ML/LLM fundamentals, architecture, training/inference lifecycles, and model optimization. | Serve | 5 |
| Manager III, Security Engineer, InfraSec Access Boundary Security Manager for a security engineering team focused on network boundary protection, access controls, and vulnerability management for AWS infrastructure. The role involves leading initiatives that protect AWS's operational network across the full device lifecycle, leveraging AI/ML for threat detection and response. | Serve | 5 |
| Senior Software Development Engineer, AWS EC2 Nitro Team Senior Software Development Engineer on the AWS EC2 Nitro team, focusing on building and optimizing the foundation of cloud computing infrastructure for high-performance AI/ML training and inference workloads. The role involves working across the full technology stack, from hardware to software, to solve complex performance optimization problems at massive scale. | Serve | 5 |
| Software Development Engineer - Testing Infrastructure & Performance, Trainium/Neuron, Annapurna Labs Software Development Engineer to own and evolve the testing infrastructure and performance pipeline that validates Neuron software across workloads, models, and hardware configurations. Build data pipelines that collect, process, and surface performance metrics and dashboards for visibility into regression detection, performance trends, and release readiness. | Serve | 5 |
| Software Development Engineer II, Amazon Music Catalog Software Development Engineer II role at Amazon Music Catalog focusing on building and optimizing platforms for music rights and metadata. The role involves designing and implementing scalable software solutions, collaborating with Applied Scientists on ML algorithms and LLMs for record matching and reconciliation, and owning the full software development lifecycle. It emphasizes system design, machine learning, and project management to impact music fans globally. | Serve | 5 |
| Senior delivery consultant – GenAI This role focuses on designing, implementing, and managing AWS AI/ML solutions for customers, acting as a trusted advisor and leveraging expertise in cloud architecture, machine learning algorithms, deep learning frameworks, and AI/ML service architecture. The consultant will guide customers through their cloud journey, focusing on the deployment and optimization of AI/ML services. | Serve | 5 |
| Software Development Engineer, AWS Central SDE Team This is a Software Development Engineer role within the AWS Central SDE Team, focusing on building and maintaining code for various AWS services, with a specific mention of Artificial Intelligence/Machine Learning and Healthcare AI. The role involves designing, developing, and maintaining software solutions, collaborating with cross-functional teams, and resolving performance bottlenecks. While the core is general SDE work, the inclusion of AI/ML and Healthcare AI as areas of consideration, along with preferred knowledge of ML frameworks and fundamentals, indicates an AI-related function, likely focused on the engineering and serving aspects of AI/ML systems. | Serve | 5 |
| Software Development Engineer Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals. | Serve | 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. 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 |
| 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 |
| 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 |
| 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, 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 |
| Software Development Engineer Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals. | Serve | 5 |
| Data Engineer, PXT Central Science Data Engineer role focused on building and maintaining data pipelines, feature extraction frameworks, and APIs for productionizing science models within Amazon's People Experience and Technology (PXT) Central Science team. The role involves using AWS services for data processing, model serving, and integration with other engineering teams. | Serve | 5 |
| Software Development Engineer, Player Team 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. | Serve | 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 |
| 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. Machine Learning Engineer, Amazon Traffic Engineering This role focuses on building and operating critical infrastructure services for Amazon's retail platform, dealing with massive traffic volumes in real-time using advanced machine learning systems and distributed infrastructure. The core responsibility involves improving operational excellence, performance, and monitoring of these services. | Serve | 5 |
| Sr. Startup Solution Architect, GenAI 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. | ServePost-train | 5 |
| Software Development Engineer II, FGBS 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. | Serve | 5 |
| C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems 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. | Serve | 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 |
| Solutions Architect III - AMZ9830172 Solutions Architect III role focused on designing and implementing data and AI solutions on AWS, including data pipelines and leveraging various AWS data and AI services. The role involves technical consultancy, maturity assessments, and roadmap definitions, acting as a Subject Matter Expert. | Serve | 5 |
| Sr. Software Development Engineer, ML Infrastructure Team Senior Software Development Engineer on the ML Infrastructure team at AWS, responsible for owning and evolving the platforms that ensure top performance of ML and HPC technologies. This involves building and operating CI/CD systems, orchestrating large GPU clusters, analyzing performance data with LLMs, and managing GPU capacity. The role focuses on the infrastructure supporting ML workloads, directly impacting the launch of new EC2 instance types. | Serve | 5 |
| Principal Developer Advocate – AWS Trainium, Trainium The Principal Developer Advocate will be the external face of AWS in ML hardware acceleration, focusing on AWS Trainium and the Neuron SDK. This role involves creating content, speaking at conferences, engaging with the ML developer community, and building partnerships to drive awareness and adoption of AWS's ML hardware solutions. The ideal candidate has a background in software engineering, ML research, or systems performance, with a passion for open-source AI and hardware-software co-design. | Serve | 5 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building and owning Tier 1 services for Amazon Ads' Sponsored Products and Brands. The role involves designing, developing, and maintaining highly available, scalable systems that determine ad eligibility and serve ads to millions of customers. It leverages generative AI technologies and involves working with numerous machine learning models within a low-latency, high-scale ad serving workflow. | 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 |
| Senior Solutions Architect, Media & Entertainment, AWS Plus Team Senior Solutions Architect for AWS Plus team supporting Prime Video, Prime Video Sports, and Amazon MGM Studios. The role involves advising on cloud strategy, architecting media and entertainment workloads, and guiding AI adoption using services like SageMaker and Bedrock for model hosting and GPU optimization for inference and training. The focus is on production-scale AI workloads within the media and entertainment domain. | ServePost-train | 5 |
| Neuron Runtime Software Development Engineer , Neuron Runtime Software Development Engineer responsible for developing and maintaining high-performance runtime libraries and drivers for AWS ML accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Runtime, optimizing AI workloads, improving ML kernels and frameworks, and supporting multiple ML frameworks. Requires experience in distributed systems, AWS services, and end-to-end service ownership. | Serve | 5 |
| Senior Applied Scientist, Annapurna ML Senior Applied Scientist to work on AI and program analysis for a deep learning compiler stack, optimizing models for ML accelerators (Inferentia, Trainium). Role involves designing, developing, and deploying analyzers for ML compiler stages, architecting business-critical tooling, publishing research, and mentoring. Focus is on compiler technology and deep-learning systems software, with a preference for ML/AI accelerator background. | Serve | 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 developing automated scaling algorithms, capacity management tools, and operational workflows, including building ML-integrated prediction systems for demand forecasting and capacity allocation. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on building and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads, specifically designing and delivering server hardware for AI training and inference. The candidate will work across the full technical stack from baremetal hardware to userland software, solving complex architectural problems related to server systems, their testability, reliability, and diagnosis, with the goal of delivering continuous price-performance improvements for large language models at cloud scale. | Serve | 5 |
| Software Development Engineer, AWS Software Development Engineer role at Amazon Web Services (AWS) focusing on building and maintaining code, implementing software solutions, and collaborating with cross-functional teams. The role also mentions potential specialization in Artificial Intelligence/Machine Learning and Healthcare AI, with preferred qualifications in ML frameworks and fundamentals. | 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 Engineer - ML and Distributed Systems, Amazon Personalize Software Engineer role focused on building and scaling a large-scale machine learning platform for Amazon Personalize, an AWS service that provides individualized recommendations. The role involves architecting and developing the platform, optimizing performance, and creating solutions for distributed systems. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on designing, delivering, and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting continuous price-performance improvements for large-scale LLM training and inference. The candidate will work across the full technical stack from baremetal server hardware to userland software, acting as a technical leader and systems debugger. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on building and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting generative AI training and inference. The Systems Development Engineer will work on server designs, optimizing price-performance, and ensuring reliability and scalability of the underlying hardware infrastructure. | Serve | 5 |
| Data Engineer, PXT Central Science Data Engineer on the PXT Central Science team, responsible for enhancing data architecture, building features, developing end-to-end data engineering solutions for analytical problems, and collaborating with scientists and engineers. Focuses on data pipeline development, model productionization, API development, data integration, and quality checks within an AWS environment. | Serve | 5 |
| Software Dev Engineer Intern, (Sustaining Operations) 2026 Shanghai Software Development Engineer Intern role focused on building AI-based automation technology operations platforms. Responsibilities include designing and developing scalable user interfaces, data structures, and algorithms, with a need to understand basic AI/ML algorithms. Requires collaboration with engineering teams for feature implementation and deployment. | Serve | 5 |
| Software Development Engineer, Neuron Foundation Tools Software Development Engineer responsible for developing and maintaining high-performance monitoring and profiling tools for AWS Neuron AI accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Profiler/Tools toolchain, optimizing ML Kernels and Frameworks, and collaborating with compiler and runtime teams to provide insights for customer optimization of AI workloads. | Serve | 5 |
| Embedded Software Engineer, Annapurna ML Software Embedded Software Engineer role focused on developing and optimizing software and firmware for Annapurna Labs' next-generation machine learning platforms, specifically the NeuronSwitches interconnect fabric for Trainium chips. The role involves hardware/software co-design, device driver development, ML infrastructure, and ensuring high-performance data movement for AI workloads. | Serve | 5 |