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 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 |
|---|---|---|
| Research Scientist, WWGS Real Estate & Store Development Research Scientist role focused on developing forecasting and optimization models using ML and GenAI to support real estate and store planning decisions for Amazon's grocery business. The role involves analyzing data, building end-to-end solutions, and presenting findings to leadership. | Ship | 5 |
| Sr. Quantitative UX Researcher, Applied AI Solutions Seeking a Sr. Quantitative UX Researcher to shape AI-native business applications, define research strategy, and influence human-AI interaction. This role involves owning experimental design, quantitative analysis, insight generation, and measurement strategies for AI-powered solutions. The researcher will work in 0 to 1 environments, define success metrics for agentic AI products, identify key behavioral signals, and invent AI-enabled tools and processes to scale research impact. | Agent |
| 5 |
| Economist, PXT Central Science This role focuses on applying economics, behavioral science, statistics, and machine learning to identify process improvements within Amazon's People Experience and Technology (PXT) organization. The Economist will work with business partners and engineers to analyze data, estimate models, design pilots, measure impact, and implement solutions at scale, aiming to improve employee outcomes, hiring, development, and retention. | — | 3 |
| Applied Scientist, AWS Science of Security This role focuses on advanced and rigorous solutions for security, privacy, and sovereignty within AWS. The Applied Scientist will solve complex problems, own the design and delivery of solutions with long-term impact, provide technical influence, and develop fundamentally new solutions. The role requires a PhD or equivalent research experience in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, or program analysis. | — | 0 |
| Senior Applied Scientist, AWS Science of Security This role focuses on applying advanced scientific innovation to solve complex security, privacy, and sovereignty problems within AWS. It involves strategic problem-solving, designing and implementing solutions, and providing technical influence across organizations. The core technical areas include SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, and program analysis. | — | 0 |
| Quantum Applied Scientist, Processor Test & Measurement, Amazon Center for Quantum Computing Applied Scientist role focused on the verification and validation of quantum computing processor components, including gates, reset, and readout, and understanding their contribution to overall quantum error correction (QEC) performance. The role involves collaborating with design and theory teams, developing experimental test plans, characterizing QEC building blocks, and investigating discrepancies between measured and expected behavior. | — | 0 |
| Applied Scientist - Quantum Resource Estimation and Benchmarking, Amazon Braket This role focuses on resource estimation and workload benchmarking for fault-tolerant quantum computing on AWS, requiring a deep understanding of quantum error correction to inform technical decisions and roadmap. The scientist will build and maintain estimation models, develop benchmarking frameworks, and contribute to production-quality code. | — | 0 |
| Senior Applied Scientist, AWS Science of Security Senior Applied Scientist in AWS Science of Security focused on advanced and rigorous solutions for security, privacy, and sovereignty within AWS. The role involves solving complex problems, leading design and implementation of solutions with long-term impact, and providing cross-organizational technical influence. Requires deep knowledge in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, program analysis, and programming language type systems. | — | 0 |
| Applied Scientist III, AWS Identity This role focuses on applying formal methods, automated reasoning, and program analysis techniques to security and safety requirements within AWS Identity services. The scientist will build tools to identify or prove the absence of security/safety problems using SAT, SMT, BDDs, and related concepts, and integrate these into production systems. The role involves prototyping, analysis, and potentially publishing work. | — | 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 |
| Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning, which is a subfield of AI, but the core responsibilities and required skills (SAT, SMT, theorem proving, program analysis) are more aligned with traditional computer science research and formal methods rather than the direct development, training, or deployment of modern ML models or agents as defined by the stage model (L0-L6). The role is classified as 'Exploring' as it's in a growing segment of AWS, and the function is 'Research' due to the emphasis on scientific innovation and solving complex problems. The domain is 'enterprise_ai' as it's within AWS. | — | 0 |
| Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning, privacy, and sovereignty within AWS. The candidate will solve complex problems, lead design and implementation of solutions, provide cross-organizational technical influence, develop strategic plans for new solutions, and mentor others. The role is in a fast-growing segment of AWS and offers a chance to shape technology, product, and business. | — | 0 |
| Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning, SAT, SMT, mechanical theorem proving, symbolic simulation, program analysis, and type systems within AWS. It involves solving complex problems, designing and implementing solutions, and providing cross-organizational technical influence. The role is research-oriented and aims to improve AWS services. | — | 0 |
| Fabrication R&D Scientist, Amazon Center for Quantum Computing Research Scientist role focused on semiconductor process development for quantum computing, involving fabrication, optimization, and analysis of superconducting quantum processors. Requires a PhD and experience in nanofabrication, MEMS, or 2.5/3D integration. | — | 0 |
| Senior Research Scientist, Survey Methods, Amazonian Leadership Experience This role is for a Senior Research Scientist focused on survey methods within Amazon's HR technology team. The primary responsibilities involve designing and executing surveys, analyzing survey and other data using statistical and econometric methods (including regression, weighting, and imputation), and conducting methodological research to improve data quality. The role collaborates with economists, engineers, and computer scientists to address business questions related to employee experience, attrition, engagement, and inclusion. While machine learning is mentioned as a preferred qualification, the core of the role is in traditional survey science and statistical analysis, not AI/ML model development. | — | 0 |
| Applied Scientist, Materials Characterization and Simulations, Amazon Center for Quantum Computing This role focuses on materials science and computational modeling for quantum computing, specifically understanding and mitigating materials-driven loss mechanisms in superconducting quantum processors. It involves combining characterization and simulations to investigate material defects' impact on qubit performance, inputting into materials design, and developing simulation tools. The role supports fabrication teams and translates insights into process improvements, with potential for publication. | — | 0 |
| 2026 Fall Quantum Applied Science Internship, Center for Quantum Computing Internship role focused on research and development in quantum computing, involving theoretical and experimental physics, materials science, and hardware/software engineering. The role aims to develop novel, scalable solutions to advance the state-of-the-art in quantum computing, potentially leading to products for Amazon customers. Requires PhD enrollment and expertise in areas like superconducting qubits, quantum optics, and quantum error correction. | — | 0 |
| Principal Applied Scientist, Automated Reasoning Group Principal Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. Requires a PhD, experience in professional software development, and programming in specific languages like O'Caml or Dafny. The role involves solving complex problems, leading design and implementation of solutions, providing cross-organizational technical influence, and mentoring others. | — | 0 |
| Sr. Applied Scientist, Cedar Authorization The role involves driving the science and engineering behind an open-source authorization language (Cedar) and its integration into cloud-native platforms like Kubernetes. Responsibilities include advancing formal verification and analysis capabilities, developing tools to identify security/safety issues in authorization policies, creating and productizing prototypes, and contributing to the open-source codebase as a maintainer. The role also involves representing the project at technical conferences, advocating for adoption, and collaborating with the open-source community to advance project maturity. | — | 0 |
| Applied Scientist, Quantum Algorithms, Center for Quantum Computing This role focuses on theoretical research and development of new quantum algorithms for fault-tolerant quantum computers, collaborating with scientists and engineers, publishing research, and mentoring interns. It involves analyzing and optimizing existing algorithms, discovering new application areas, and understanding the interplay with quantum error correction. The role requires a PhD in a relevant field and experience in publications or patents. | — | 0 |
| Applied Scientist, Device Team, AWS Center for Quantum Computing Applied Scientist role at Amazon Web Services (AWS) Center for Quantum Computing focusing on experimental quantum computing. Responsibilities include developing and enhancing quantum processor building blocks, devising new physical metrology techniques, and building experiments across the integrated stack (design, fabrication, cryogenics, signal chain, control stack). The role requires a strong foundation in experimental physics, a track record of scientific contributions, and experience with measurement techniques, with a preference for low-temperature condensed matter physics. | — | 0 |
| Applied Scientist, Quantum Device Packaging & Environment R&D, Device Team, AWS Center for Quantum Computing, Device Team Research Scientist role focused on packaging and environmental R&D for quantum devices at Amazon Web Services (AWS) Center for Quantum Computing. Responsibilities include designing, modeling, and testing packaging solutions, developing environmental test standards, automating data collection, and collaborating with hardware engineers to improve qubit performance. Requires experience in patents/publications, programming, and cryogenic packaging design/testing or quantum hardware characterization. | — | 0 |
| Quantitative Researcher, Selling Partner Experience Quantitative Researcher focused on understanding seller behavior data to inform product decisions for Amazon's Selling Partner Experience. This role involves end-to-end ownership of quantitative research projects, including survey design, statistical analysis, and synthesizing findings into actionable recommendations. | — | 0 |
| Quantum Research Scientist, Processor Test & Measurement, AWS Center for Quantum Computing Research Scientist role focused on developing and testing novel calibration and optimization tools for Quantum Error Correction on large-scale quantum processors within the AWS Center for Quantum Computing. Requires a PhD in a relevant field and experience characterizing quantum systems through measurement. | — | 0 |
| Sr. Quantum Research Scientist, AWS Center for Quantum Computing Research Scientist role focused on developing and testing calibration and optimization tools for Quantum Error Correction on large-scale quantum processors within AWS. Requires a PhD in a relevant field, experimental experience in quantum computing, and expertise in multi-qubit system calibration and benchmarking. | — | 0 |