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 732 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Security Engineer, Stores Security Security Engineer role focused on collaborating with software development teams to ensure security of novel services. Responsibilities include threat modeling, secure code review, developing security automation tools, adversarial analysis, security training, and providing architecture guidance. Requires knowledge of system security vulnerabilities, remediation techniques, web protocols, and security technologies. Preferred qualifications include AWS experience and full secure software development lifecycle experience. | — | 0 |
| Senior Customer Success Manager, Consumables Private Brands Senior Customer Success Manager for Amazon's Consumables Private Brands, focusing on transforming supplier partnerships to drive business growth, enhance supplier satisfaction, and improve customer experience. Responsibilities include developing strategic business plans, analyzing P&L performance, building relationships with suppliers, guiding them through Amazon's tools and policies, and collaborating with cross-functional teams to meet revenue and customer satisfaction goals. Requires strong financial acumen, attention to detail, and understanding of the consumer packaged goods market. |
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| 0 |
| Software Development Engineer, One MHS - Software, Controls, and Science Software Development Engineer role focused on building Human Machine Interfacing Platforms for Amazon's automated material handling systems and warehouse robotics. The role involves designing and implementing backend services, tooling for monitoring and deployment, and collaborating on integrated solutions for industrial control systems. | — | 0 |
| Pr ProServe Account Executive , Healthcare and Life Sciences This role is for a ProServe Account Executive in Healthcare and Life Sciences at Amazon Web Services (AWS). The primary focus is on engaging with Financial Services customers to drive transformative projects involving IT Strategy, distributed architecture, and hybrid cloud operations. The role involves understanding customer business outcomes, identifying applicable AWS Professional Services offerings, creating proposals, and securing sign-offs on Statements of Work (SOWs). The Account Executive will also ensure successful project delivery and customer satisfaction, measured by key metrics like Revenue, Billable Bookings, and CSAT. The role requires experience in selling services within the technology/consulting sector, translating technical concepts into business value, and managing CRM systems. It also involves developing account plans, establishing executive relationships, and collaborating with internal AWS teams and partners. The role may require up to 50% travel. | — | 0 |
| Corporate Counsel, AWS Legal Corporate Counsel for AWS Agentic AI organization, advising on complex legal issues, regulatory and compliance matters, and supporting product launches. | — | 0 |
| Sr Manager, Retail Vendor Management, Hardlines Private Brands This role is for a Sr. Manager of Retail Vendor Management for Hardlines Private Brands at Amazon. The primary focus is on leading a team, developing business strategy, managing vendor relationships, and driving profitability and growth for a product portfolio. While the role mentions the usage of generative AI tools as a preferred qualification, the core responsibilities do not involve building or directly managing AI/ML systems. The role is focused on product management and business operations within the consumer domain. | — | 0 |
| GTM and Partner Strategy Leader - Connected Vehicle Experience, Industry Specialists and Solutions (ISS); AWS Automotive & Manufacturing This role focuses on developing and executing Go-To-Market and Partner Strategy for Connected Vehicle Experience (CVX) solutions within AWS Automotive & Manufacturing. The leader will build and manage a partner ecosystem, define co-sell motions, influence product roadmaps, and represent AWS as a thought leader in the connected mobility space. While the role involves working with Data & AI technologies, its core function is strategic business development and partnership management, not direct AI/ML model development or deployment. | — | 0 |
| ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs Design Engineer for custom ASICs (System on Chip) used in AWS's machine learning inference servers, focusing on high-performance, area, and power-efficient RTL design, microarchitecture, and implementation. | — | 0 |
| Sr. Program Manager, WW Gift Cards Program Manager for Amazon Gift Cards' WW Fraud Prevention team, focusing on defining and executing fraud prevention strategies, leading cross-functional programs involving ML model deployment, risk rule optimization, and operational process design. The role requires analyzing fraud patterns, building monitoring frameworks, managing external partnerships, and owning performance metrics and executive reporting. | — | 0 |
| Data Engineer, PV Prime Video TV - Tech Data Engineer role at Amazon Prime Video focused on building and maintaining scalable data infrastructure and pipelines using AWS big data technologies. The role supports major investments by integrating data from various teams and curating datasets for downstream use, including reporting, analysis, and machine learning models. | — | 0 |
| Sr. Thermal & Mechanical Packaging Engineer, Annapurna Labs This role focuses on the thermal and mechanical packaging of hardware for data centers, specifically within Amazon's Machine Learning Acceleration team. The engineer will be responsible for designing and optimizing hardware systems, from circuit design to large system design, and overseeing their manufacturing. The role involves working with new technologies for server deployments, ensuring high performance, quality, and cost-effectiveness. It requires expertise in semiconductor packaging, thermal analysis, and mechanical design, with a strong emphasis on simulation tools and hands-on lab experience. | — | 0 |
| Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning This role is for a Physical Design Engineer focused on Static Timing Analysis for hardware used in AWS data centers, including machine learning inference products like AWS Inferentia. The engineer will develop and maintain analysis flows, write and validate timing constraints, debug timing issues, and automate reporting. While the hardware supports AI products, the role itself is focused on the physical design and timing analysis of the hardware, not the AI/ML models themselves. | — | 0 |
| Sr. SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning This role is for a Sr. SoC Power Engineer focused on developing and optimizing the power consumption of machine learning accelerators (Inferentia and Trainium SoCs). The engineer will be responsible for power analysis and modeling from RTL to netlist, working with various design teams, and making lab measurements. While the SoCs are for ML workloads, the role itself is focused on hardware engineering (power analysis) rather than AI/ML model development or deployment. | — | 0 |
| Senior Financial Analyst, Amazon Fulfillment Technologies Senior Financial Analyst role supporting Amazon Fulfillment Technologies (AFT), focusing on financial and strategic analysis to drive future innovations. Requires strong analytical skills, ability to influence business owners, and thrive in a fast-paced environment. | — | 0 |
| Account Representative , NASB This role is for an Account Representative focused on recruiting and driving business development for a 3P sales team. The primary responsibilities include prospecting, acquiring, and growing seller commitment to Amazon's selling programs, managing contract negotiations, and meeting sales performance metrics and revenue targets. While the role mentions using generative AI tools for workflow efficiency and recognizing opportunities for AI enhancement, the core function is sales and business development, not building or shipping AI models or systems. | — | 0 |
| Software Development Engineer - II, AWS Data Processing and Analytics team Software Development Engineer II on the AWS Data Processing and Analytics team, focusing on building and scaling a next-generation serverless analytics platform with Apache Spark and Python. The role involves designing, developing, and operating distributed systems at massive scale, aiming for super-low latencies. | — | 0 |
| Sr Business Development Manager, Amazon Warehousing and Distribution (AWD) This role is for a Sr. Business Development Manager in Amazon Warehousing and Distribution (AWD). The primary focus is on driving seller acquisition and growth by displacing incumbent 3PL providers and positioning AWD as an integrated supply chain solution. The role involves strategic growth, account planning, relationship management, consultative expertise, client advocacy, cross-functional leadership, executive communication, risk management, and market intelligence. While the role mentions leveraging generative AI tools for workflow efficiency and identifying opportunities to integrate AI solutions, the core responsibilities are in business development and supply chain logistics, not in building or shipping AI models or systems. | — | 0 |
| Software Development Engineer, US Amazon Dedicated Cloud Security Software Development Engineer role focused on building security tools and automation for Amazon Dedicated Clouds (ADCs) in a classified environment. Responsibilities include developing high-availability distributed software with an emphasis on security, scalability, and fault tolerance, architecting zero-trust security models, designing APIs, developing automation frameworks for IaC, creating monitoring and alerting systems (potentially using ML for anomaly detection), implementing cryptographic solutions, and leading technical design reviews. Requires a TS/SCI clearance with polygraph. | — | 0 |
| Sr. GPU/Accelerator Hardware Development Engineer Develops the next generation of AI accelerator compute systems and cloud server infrastructure for AWS Trainium, focusing on system design, validation, and integration of hardware in data centers. This role involves working with custom silicon, high-speed system design, and managing the full product life cycle of hardware components for large-scale AI training. | — | 0 |
| TOM TAI-E Technician, Mid-West-TAI This role supports the implementation and maintenance of automated systems and technology within Amazon's transportation yards, focusing on hardware, operating systems, and software support. It involves troubleshooting, piloting new technologies, and identifying process improvements related to yard and gate operations. | — | 0 |
| Software Development Engineer, Advanced Analytics - LLD This role focuses on building and maintaining foundational infrastructure for capturing, processing, storing, and analyzing petabyte-scale log-level advertising data. The goal is to provide transparency and enable data-driven decisions for advertisers within Amazon Ads. It involves creating scalable data pipelines, ETL workflows, APIs, and ensuring data quality and performance. | — | 0 |
| Sr. Delivery Consultant - Application Development, AWS WWPS ProServe This role is for a Sr. Delivery Consultant on the AWS Professional Services team. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include gathering requirements, proposing migration strategies, advising on industry trends and emerging technologies, and leading implementation processes. The role requires a deep understanding of AWS products and services, focusing on architecting complex, scalable, and secure solutions. The position emphasizes customer success and driving desired business outcomes through AWS cloud adoption. | — | 0 |
| Sr. Delivery Consultant - AI/ML, AWS ProServe This role is for a Sr. Delivery Consultant on the AWS ProServe team, focusing on designing, implementing, and managing AWS solutions for customers. The consultant will provide technical expertise, guide customers through their cloud journey, and act as a trusted advisor on industry trends and emerging technologies. Responsibilities include gathering requirements, proposing migration strategies, leading implementations, optimizing performance, and managing risks. The role requires a strong understanding of AWS services and experience in serverless distributed solutions, software development, and video/image processing. | — | 0 |
| Delivery Consultant - Application Development, AWS WWPS ProServe This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include architecting scalable and secure solutions, proposing migration strategies, advising on industry trends, and leading implementation processes. The role requires a strong understanding of AWS products and services, with a focus on customer success in their cloud journey. | — | 0 |
| Software Development Engineer, Amazon Business Payments and Lending Software Development Engineer role at Amazon Business Payments, focusing on developing innovative payment methods and end-to-end payment experiences. The role involves designing, developing, and supporting large-scale distributed software applications and tools, incorporating Machine Learning in Big Data. It operates within an Agile environment, collaborating with business stakeholders to deliver new features. | — | 0 |
| Sr Delivery Consultant - SRC, WWPS Professional Services - GPS This role is for a Senior Delivery Consultant focused on Security within AWS Professional Services. The primary responsibilities involve designing, implementing, and managing secure AWS solutions for customers, providing technical guidance, and acting as a trusted advisor on cloud security best practices and emerging technologies. The role requires deep knowledge of AWS services, security principles, and automation, with a strong emphasis on customer collaboration and project delivery. | — | 0 |
| Process Engineer, RMTO - Process Engineering Process Engineer role focused on developing, installing, validating, and optimizing complex manufacturing processes and systems for robotic systems. Responsibilities include process optimization, cost reduction, new product introduction (NPI), and implementing technology improvements. The role requires cross-functional collaboration, project management, and clear communication with senior management. Basic qualifications include experience in manufacturing, NPI, CAD, problem-solving tools, and quality/statistical tools. Preferred qualifications include knowledge of simulation tools, project delivery, and Lean-Six Sigma. | — | 0 |
| Senior SDE, OpenSearch, AWS OpenSearch This role is for a Senior Software Development Engineer on the Amazon OpenSearch Security team. The primary focus is on designing, developing, and supporting security features for a cloud-scale distributed log analytics and search platform. While the role mentions "AI-powered workloads" and "intelligent retrieval engine" in the context of OpenSearch's evolution, the core responsibilities are centered around platform security, data storage, query optimization, and performance, rather than direct AI/ML model development or deployment. The role involves working with complex system software and contributing to both the AWS service and the open-source project. | — | 0 |
| SDE, AWS OpenSearch Service, Opensearch Software Development Engineer role focused on building and operating a cloud-scale log analytics and search platform using Amazon OpenSearch Service. The role involves designing, developing, and supporting a world-class search platform, contributing to open-source software, and working on challenging problems in data storage, query optimization, JVM performance, security, and machine learning. | — | 0 |
| SDE, AWS OpenSearch Service, Opensearch Software Development Engineer role focused on building and operating a cloud-scale log analytics and search platform using Amazon OpenSearch Service. The role involves designing, developing, and supporting a world-class search platform, contributing to open-source software, and working on challenging problems in data storage, query optimization, JVM performance, security, and machine learning. | — | 0 |
| Senior SDE, OpenSearch, AWS OpenSearch Senior Software Development Engineer focused on building security features for the Amazon OpenSearch service, a cloud-scale distributed log analytics and search platform. The role involves designing and developing technologies to enhance customer security posture, working on complex system software, and contributing to open-source projects. | — | 0 |
| Software Development Engineer, AWS OpenSearch Software Development Engineer role focused on building and operating distributed systems for Amazon OpenSearch Service, handling data ingestion, search infrastructure, and related challenges at massive scale. The role involves designing, developing, and deploying reliable services using languages like Rust, Java, Python, and Golang, with a focus on cluster management, data pipelines, query optimization, and multi-tenancy. | — | 0 |
| Senior Security Consultant, Global Proserve Security Senior Security Consultant for AWS ProServe, focusing on designing, implementing, and automating security solutions in AWS for customers. The role involves technical leadership, customer engagement, and mentoring junior consultants, with a focus on cloud security strategy and operations. | — | 0 |
| Technical Account Manager, National Security, National Security - ES US-ADC Technical Account Manager (TAM) for National Security customers within AWS Enterprise Support. The role involves acting as a strategic technical advisor, driving customer adoption of AWS services (including AI/ML services like SageMaker and Bedrock), providing guidance, and managing customer relationships. This is a customer-facing role focused on ensuring customers gain value from AWS. | — | 0 |
| Software Dev Engineer II, OMHS SCS Software Development Engineer II role focused on building edge compute solutions for industrial automation applications within Amazon's fulfillment network. The role involves integrating hardware and software, developing CI/CD pipelines, and working across multiple layers of the technology stack from low-level controls to cloud-based systems. | — | 0 |
| Software Dev Engineer II, OMHS SCS Software Development Engineer II role focused on building edge compute solutions for industrial automation within Amazon's fulfillment network. The role involves integrating hardware and software, developing CI/CD pipelines, and working across the full software development cycle from low-level controls to cloud-based systems. It's an early-stage initiative in a fast-paced, startup-like environment. | — | 0 |
| Principal Applied Scientist, Amazon Braket The role is for a Principal Applied Scientist in quantum computing, focusing on the technical leadership of the quantum compilation toolchain. This involves owning the roadmap, leading a team, designing compilation passes, collaborating with hardware/algorithms teams, and publishing research. The core of the role is developing tools and systems for quantum computing, not AI/ML. | — | 0 |
| Senior Structural Design Analysis Engineer, Structural Design Integrity Senior Structural Design Analysis Engineer at Amazon Lab126, focusing on the structural integrity of consumer electronics from concept to manufacturing. Responsibilities include performing advanced simulations (e.g., Abaqus) and experiments on complex electronic assemblies, developing thermal, acoustic, and structural solutions, and validating designs with prototypes. Requires a PhD or Master's degree with 5+ years of experience in design analysis and testing, and proficiency in programming languages like Python or Matlab. | — | 0 |
| Senior Program Manager III, Selling Partner Trust and Store Integrity (TSI) Senior Program Manager III for Selling Partner Trust and Store Integrity (TSI) at Amazon, focusing on global compliance innovation, fraud and abuse detection in tax compliance, and adaptive governance frameworks. The role involves leading development of core capabilities, partnering with operations and tech, and coordinating regional leaders to solve challenges at the intersection of policy, technology, and seller experience. It aims to protect Amazon and sellers while building industry-standard compliance systems. | — | 0 |
| Portfolio Manager- Arlington, Global Real Estate and Facilities , GREF This role is for a Portfolio Manager in Global Real Estate and Facilities (GREF) at Amazon. The primary responsibilities include managing the real estate portfolio, partnering with business leaders and functional areas, ensuring facilities are operated and maintained to standards, managing IFM program operations, and overseeing financial aspects. While the role mentions using generative AI tools to enhance workflow efficiency and recognizing opportunities for AI to improve products/workflows, the core function of the role is not AI/ML development or research. It is a facilities and real estate management position that may leverage AI tools. | — | 0 |
| Sr. Delivery Consultant, WWPS ProServe US Federal Civilian This role is for a Sr. Delivery Consultant at Amazon Web Services (AWS) ProServe. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud migration and adoption. Responsibilities include providing technical expertise, acting as a trusted advisor, and sharing knowledge within the organization. The role requires extensive experience in AWS solutions, serverless distributed systems, software development, project management, and cloud architecture. | — | 0 |
| Delivery Consultant - Application Development, AWS WWPS ProServe This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the cloud adoption journey. Responsibilities include gathering requirements, proposing migration strategies, advising on industry trends, and leading implementation processes. The role requires knowledge of AWS services, including machine learning, and experience in software development or cloud architecture. | — | 0 |
| Delivery Consultant - Application Development, AWS ProServe This role is for a Delivery Consultant at Amazon Web Services (AWS) ProServe. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud architecture, migration strategies, and technical guidance. The role requires expertise in AWS services and a programming language, with a focus on customer success and project delivery. | — | 0 |
| Delivery Consultant - Application Development, AWS ProServe This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and guiding them through their cloud adoption journey. It involves gathering requirements, proposing migration strategies, and optimizing performance. | — | 0 |
| Delivery Consultant - AI/ML, WWPS ProServe US-FedCiv This role is for a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team, focusing on designing, implementing, and managing AWS solutions for customers. The role involves providing technical expertise, guidance on industry trends, and leading project implementations. While knowledge of AWS services including machine learning is mentioned, the core function is cloud solution delivery and customer consulting, not direct AI/ML model development or deployment. | — | 0 |
| Delivery Consultant - Application Development, AWS ProServe This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and guiding them through their cloud adoption journey. It involves gathering requirements, proposing migration strategies, and optimizing performance. | — | 0 |
| Applied Scientist, Processor, Amazon Center for Quantum Computing The Applied Scientist will focus on the verification and validation of circuit components for quantum error correction (QEC) codes within Amazon's quantum computing center. This role involves collaborating with cross-functional teams to connect component-level measurements to integrated system behavior, understanding performance limitations, and developing experimental test plans. The scientist will characterize QEC building blocks, design experiments to isolate effects, prototype calibration methods, and investigate discrepancies between measured and expected behavior. | — | 0 |
| Software Development Engineer, FTV Content & Advertising Software Development Engineer II role focused on building full-stack technology and services for Amazon's Fire TV, Alexa ads, and Fire Tablet platforms, aiming to enhance customer experience in content consumption and advertising. | — | 0 |
| PD Engineer, Annapurna Labs This role focuses on the design and optimization of hardware for AWS data centers, specifically related to machine learning inference products like AWS Inferentia. The engineer will drive physical implementation, develop cloud infrastructure for design work, and improve RTL2GDS flows for performance and turnaround time. Responsibilities include synthesis, floor planning, place and route, timing closure, and physical verification, with a focus on PPA and TAT improvement. | — | 0 |
| Data Engineer, Decision Intelligence Technology Data Engineer role focused on developing and improving data architecture, data quality, monitoring, and availability within the AWS Kumo team. The role involves collaborating with Data Scientists to implement advanced analytics and machine learning algorithms, and partnering with Business Analysts to build hypotheses for business improvement. The engineer will also focus on ongoing reporting, analysis processes, and piloting new big data technologies to scale data architecture. | — | 0 |