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 |
|---|---|---|
| Applied Science Manager, Personalization Lead a team of scientists building next-generation LLM-based personalization systems for e-commerce, focusing on research and production deployment at Amazon scale. | ShipPost-train | 8 |
| Applied Scientist, Personalization, Personalization Strategic Initiatives Science Research scientist role focused on developing and launching new AI technologies for personalization, including recommendation systems and large language models, leveraging large datasets and computational resources to impact millions of customers. | Ship |
| 8 |
| Applied Scientist, Personalization, Personalization Strategic Initiatives Science Research scientist role focused on developing and launching large-scale machine learning solutions for personalization and recommendation systems, impacting millions of customers. | Ship | 8 |
| Applied Scientist , Personalization & Ranking Research Scientist focused on developing and launching new AI technologies for personalization and recommendation systems, utilizing deep learning, LLMs, and reinforcement learning, with a strong emphasis on experimentation and A/B testing. | ShipPost-train | 8 |
| Applied Scientist , Personalization & Ranking Research Scientist focused on developing and launching new AI technologies for personalization and recommendation systems, utilizing deep learning, LLMs, and reinforcement learning, with a strong emphasis on experimentation and A/B testing. | ShipPost-train | 8 |
| Sr Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer to architect and lead the AI bidding platform for Amazon Sponsored Products and Brands. This role involves owning the technical strategy for real-time inference, GenAI agents, and experimentation infrastructure, focusing on sub-millisecond latency and autonomous learning at scale. Responsibilities include designing bidding engines, agentic intelligence layers using LLMs and RL, and experimentation systems, while also leading engineering efforts and mentoring teams. | AgentServe | 8 |
| Sr Data Scientist, SPX AI Lab, SPX Science Senior Data Scientist role focused on defining and building next-generation agentic capabilities for Amazon Seller Assistant, a GenAI-first, multi-agent system. The role involves owning the science vision, shipping agentic experiences, translating research into production features, designing evaluation frameworks, and driving cross-functional alignment to deliver AI-powered solutions at scale for millions of sellers. | Agent | 8 |
| Applied Scientist, Prime Video - Generative AI Applied Scientist role focused on Generative AI for Prime Video, involving research and development of generative models for synthesis across images, video, and multimedia. The role will innovate in diffusion and flow-based methods, advance visual grounding and 3D estimation, and design multimodal GenAI workflows including agentic pipelines. | Post-trainAgent | 8 |
| Robotics/AI Motor Control Scientist, Fauna Robotics/AI Motor Control Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots, focusing on creating and optimizing intelligent motor control strategies for complex, whole-body tasks. The role involves using RL/IL, integrating with hardware, simulation/testing, and bridging research with practical implementation. | ShipData | 8 |
| Postdoctoral Scientist, Amazon Robotics Research and AI Development Postdoctoral Scientist role focused on AI-driven optimization for robotic fulfillment operations, involving automated optimization formulation, intelligent solver configuration, and fleet-level AI for dynamic task allocation. The role emphasizes research, publication in top-tier venues, and developing scalable solutions for robotic warehouses. | Agent | 8 |
| Senior Deep Learning Architect, Generative AI Innovation Center Senior Deep Learning Architect role focused on implementing and scaling Generative AI solutions for AWS customers. Responsibilities include collaborating with scientists, using foundation models, building cloud environments for ML workflows, interacting with customers to understand business problems, analyzing data, driving model implementations, and mentoring junior team members. Requires experience with ML fundamentals, deep learning frameworks, and deploying large-scale ML models into production, with a strong preference for generative AI technologies like prompt engineering, RAG, fine-tuning, and RLHF. | AgentPost-train | 8 |
| Senior PMT ES - Reinforcement Learning, SageMaker AI Senior Product Manager, Technical to define and own the product strategy for reinforcement learning (RL) on Amazon SageMaker AI. The role involves shaping how customers leverage RL for foundation model alignment, customization, and improvement, making RL more accessible for a broad range of customers. | Post-trainAgent | 8 |
| Applied Scientist II, Visual Search Science Applied Scientist II role focused on building generative AI and multimodal search systems for Amazon's visual search experience. The role involves designing, training, and optimizing text-to-image generation models, developing multimodal retrieval systems, building LLM-based classifiers for intent and safety, and architecting GPU-intensive inference pipelines. It operates at Amazon scale, serving hundreds of millions of customers. | AgentServe | 8 |
| Member of Technical Staff - Data Platform Engineer, Frontier AI Robotics The role is for a Data Platform Engineer focused on building and maintaining the data infrastructure for robotics manipulation research at Amazon's Frontier AI Robotics team. This involves creating systems to process raw robot data into trainable datasets, including streaming ingestion, data curation, quality controls, and tools for researchers. The role requires full-stack development experience in a cloud-native environment and collaboration with researchers. | Data | 8 |
| Sr. Applied Scientist, Alexa International The Senior Applied Scientist will focus on developing novel algorithms and modeling techniques for multilingual speech generation, text-to-speech synthesis, and speech-to-speech models within the Alexa International team. This role involves driving scientific strategy, influencing partner teams, and delivering solutions that enhance voice experiences across multiple languages, leveraging large-scale computing resources and addressing challenges in low-resource language settings. | Post-trainServe | 8 |
| Applied Science Manager, Alexa International Manager for a team of Applied Scientists focused on building and enhancing multilingual speech models (understanding and generation) for Alexa. The role involves leading the team, setting technical direction, driving scientific strategy, and ensuring end-to-end delivery of speech quality improvements from research to production. Key areas include speech-to-speech models, text-to-speech synthesis, multilingual systems, and leveraging large-scale data and computing resources. | Post-trainServe | 8 |
| Sr. Applied Scientist, Alexa International Senior Applied Scientist role focused on developing and advancing multilingual speech models (understanding and generation), text-to-speech synthesis, and speech-to-speech models for Alexa International. The role involves driving scientific strategy, leveraging large-scale computing resources, and optimizing model performance for production deployment in low-resource language settings. | Post-trainServe | 8 |
| Principal Applied Scientist, Personalization Principal Applied Scientist role focused on building an AI-native shopping partner that understands customer intent and needs. The role involves defining science strategy, pioneering LLM-based reasoning systems, designing transformer architectures for preference modeling, and inventing real-time ranking systems at massive scale. The work directly impacts hundreds of millions of customers. | ShipAgent | 8 |
| Senior Applied Scientist, Amazon Shopping Personalization Senior Applied Scientist role focused on researching, designing, and developing new AI technologies for Amazon's Personalization and recommendation systems. The role involves inventing, experimenting with, and launching new features and products using large-scale datasets and computational resources. Key responsibilities include building state-of-the-art models, conducting experiments, and collaborating with engineers and product managers to implement solutions end-to-end. | ShipPost-train | 8 |
| Sr. Manager, Applied Science, Prime Video Personalization & Discovery Sr. Manager, Applied Science for Prime Video Personalization & Discovery, focusing on optimizing customer experience through AI/ML and Generative AI solutions for recommendations, search, and marketing. This role involves managing science and engineering teams, setting technical strategy, and driving product definition and execution for large-scale AI systems. | ShipAgent | 8 |
| Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center This role focuses on researching, designing, and developing generative AI algorithms and ML techniques to solve real-world challenges for AWS customers. The scientist will collaborate with internal teams and directly with customers to understand business problems, implement AI solutions, and provide feedback to product and engineering teams. Key responsibilities include working with deep learning, deploying ML solutions, and understanding generative AI and foundational models. | Serve | 8 |
| Senior Machine Learning Engineer, AWS Generative AI Innovation Center Senior Machine Learning Engineer at AWS Generative AI Innovation Center focused on designing, implementing, and optimizing generative AI solutions for AWS customers. The role involves working with customers to develop bespoke solutions, including fine-tuning and optimizing SLM/LLM models, and addressing complexities in distributed training and low-latency model hosting. | Post-trainServe | 8 |
| Sr. AI Partner Solution Architect, ANZ Partner Team This role focuses on accelerating Generative AI, Agentic AI, and ML adoption by acting as a trusted technical advisor to AWS partners. The Senior AI Partner Solutions Architect will design and implement scalable AI/ML solutions using AWS services, guide partners on architectural patterns including agentic workflows and RAG, and deliver enablement programs. The ideal candidate has extensive hands-on experience with production AI systems and influencing technical and business decision-makers. | Agent | 8 |
| Sr. Applied Scientist, Amazon Robotics This role focuses on applying AI reasoning systems, specifically combining classical AI reasoning with Large Language Models (LLMs), to solve problems in robotics, automation, and fulfillment. The scientist will innovate on techniques for plan generation, correctness verification, learning reasoning strategies, and self-improving models, with an emphasis on publishing research and applying findings to business problems. | Agent | 8 |
| Software Dev Engineer II, EU INTech Partner Growth Experience, EU INTech Partner Growth Experience Software Development Engineer II role focused on building Agentic AI solutions for Selling Partners and Retail users, leveraging LLMs and specialized agents to improve user experience. The role involves working with Amazon's native/partnered LLMs and technologies like AgentCore, AgentMemory, Strands, and MCPs, with a focus on large-scale and high-performing systems. | Agent | 8 |
| Senior Applied Scientist, Amazon Robotics - Vulcan Senior Applied Scientist role focused on developing and deploying learned controllers and manipulation behaviors for robotic systems in Amazon fulfillment centers, utilizing reinforcement learning and behavior cloning. The role involves research, design, implementation, and production deployment of ML models, with a strong emphasis on sim-to-real transfer and leveraging operational data for continuous improvement. The scientist will also mentor junior team members and contribute to publications. | ShipData | 8 |
| SDE, AI Infrastructure, AFT AI Software Development Engineer to lead engineering efforts in developing infrastructure for agentic AI solutions in Amazon warehouses, including training and inference pipelines, and transforming research artifacts into scalable systems. | AgentServe | 8 |
| Senior Machine Learning Software Development Engineer, AI Ops Integration Senior Machine Learning Engineer role focused on designing and deploying production ML/LLM systems and agentic AI solutions for Amazon Operations & Supply Chain. The role involves end-to-end system design, data pipelines, model serving, orchestration of complex workflows, and ensuring safe and reliable operation of AI systems. It requires leadership in technical design, architecture, and engineering excellence across the ML lifecycle, with a focus on automating operational decisions at scale. | AgentServe | 8 |
| Machine Learning Software Development Engineer, AI Ops Integration Machine Learning Software Development Engineer focused on integrating AI Operations within Amazon's Supply Chain. The role involves designing and deploying production systems that combine traditional ML with agentic architectures to automate complex operational workflows using LLMs and AI agents. Responsibilities include building full-stack ML/LLM features, implementing AI agent components, developing internal tools, integrating systems, contributing to the ML lifecycle, and implementing guardrails and evaluation frameworks. | AgentServe | 8 |
| SDE-II, AI Core Infra - AI Analytics and Insights Software Development Engineer II on the AI Core Infra team at Amazon Advertising, focused on building and scaling the backend systems for a conversational AI assistant (SpektrBot) that uses generative AI and RAG to help users query advertising data. The role involves designing services, engineering RAG pipelines, integrating LLMs, building evaluation loops, and developing SQL generation capabilities. | AgentServe | 8 |
| Applied Scientist, Observability and Triage, Prime Video Applied Scientist role focused on building generative AI and large model systems for automated incident triage, root cause analysis, and resolution recommendation within Prime Video's observability and operational systems. The role involves prototyping, evaluating hypotheses, building evaluation frameworks, and collaborating with engineering teams to integrate ML models into production. | AgentEval Gate | 8 |
| Senior Applied Scientist , Buyer Risk Prevention (BRP) Senior Applied Scientist role focused on building and deploying large-scale machine learning systems for fraud and risk prevention in an e-commerce environment. The role involves leading scientific strategy, designing and developing ML solutions, and leveraging GenAI/LLMs for next-generation platforms. Emphasis on real-time production, scalability, and innovation. | Ship | 8 |
| Sr. Applied AI Solutions Architect - Public Sector, Amazon Connect This role is for a Sr. Applied AI Solutions Architect focused on Amazon Connect's AI capabilities, specifically guiding customers in selecting foundation models, configuring AI prompts and agents, and architecting tool integrations for agentic AI systems. A key aspect is ensuring customer data readiness for AI agents and RAG. The role involves hands-on coding, building integrations, and configuring agents to move customers from proof-of-concept to pre-production. | Agent | 8 |
| Sr. Applied AI Solutions Architect - Public Sector, Amazon Connect This role is for a Sr. Applied AI Solutions Architect focused on Amazon Connect's AI capabilities, specifically guiding customers in selecting foundation models, configuring AI prompts and agents, and architecting tool integrations for agentic AI systems. A key aspect is ensuring customer data readiness for AI agents and RAG. The role involves hands-on coding, building integrations, and configuring agents to move customers from proof-of-concept to pre-production. | Agent | 8 |
| Applied Scientist II, Search Ranking Applied Scientist II role at Amazon focused on improving search ranking by inventing and implementing ML solutions. This involves data analysis, model design, training, A/B testing, and deploying production-level components for Amazon's product search service. | Ship | 8 |
| Sr Manager, Applied Science, Alexa for Shopping (Rufus) Senior Manager, Applied Science at Amazon for Alexa Shopping, leading teams to build and scale next-generation conversational AI and multi-agent systems. Focuses on LLMs, agent orchestration, retrieval, grounding, evaluation, and AI infrastructure, with responsibilities spanning technical strategy, product partnership, and end-to-end delivery of production AI systems. | AgentEval Gate | 8 |
| Applied Scientist III, Amazon - Ads Nova Applied Scientist III at Amazon Ads Nova, focusing on building and deploying ML models for ad effectiveness and customer experience using computer vision, NLP, and deep learning. The role involves developing the science strategy for an Ads Foundational Model and contributing to the ML roadmap. | Ship | 8 |
| Data Scientist, PPE Product Intelligence Data Scientist to build and scale a self-learning scientific price estimation and product understanding system, generating customer-relevant prices on billions of products. Role involves designing and running experiments, developing production-grade models, and translating research findings for stakeholders. | ShipPost-train | 8 |
| Senior Applied Scientist, Last Mile Delivery Senior Applied Scientist role focused on developing computer vision and perception systems for AI agents in last-mile delivery logistics. The role involves designing and implementing deep learning models for visual perception, building algorithms for decision-making, and creating robust systems for AI agents to operate safely in complex environments. It emphasizes end-to-end science from object detection to path planning and control, with a focus on real-world impact and scale. | AgentServe | 8 |
| Applied Scientist II, Perimeter Protection Applied Science This role focuses on designing, developing, and deploying AI/ML models for cybersecurity threats within AWS. It involves leveraging LLMs, generative AI, and agentic AI systems to build production-grade security solutions at scale, processing trillions of requests weekly. The role spans the entire ML lifecycle from data exploration to deployment and requires collaboration with engineers for integration into low-latency systems. | AgentServe | 8 |
| Sr. Delivery Consultant - AI/ML, AWS Professional Services Senior Delivery Consultant for AWS Professional Services focusing on designing, implementing, and managing GenAI and ML solutions for customers. Requires strong experience in building, training, fine-tuning, evaluating, and deploying ML models, with a focus on AWS AI/ML services and generative AI applications. Experience with AI agents and orchestration is preferred. | ShipServe | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Software Development Engineer, Conversational AI Modeling and Learning Software Development Engineer/Machine Learning Engineer role focused on building and maintaining platforms for developing, evaluating, and deploying large language models for conversational agents. The role involves working with massive data, scaling ML models, optimizing latency and cost, and driving system architecture for high-performance, low-latency modeling solutions. | AgentServe | 8 |
| Applied Scientist - ML and Robotics Applied Scientist at Amazon Robotics focused on developing ML-based manipulation controllers for robotic systems. The role involves integrating learning with control, estimation, and planning, leveraging simulation and real-world data to create robust policies for grasping, insertion, and object handling. The scientist will collaborate with cross-functional teams to transition research prototypes into production systems for large-scale deployment in fulfillment centers. | ShipData | 8 |
| Agentic Evaluation Scientist, Amazon Customer Service This role focuses on developing evaluation techniques and ML models for agentic AI systems within Amazon's Customer Service to identify and prevent customer defects. The scientist will create methods for efficient human annotation, improve agentic system performance, and build standalone ML models to support automated investigations. The goal is to ensure rigorous quality and continuous improvement of AI-driven customer experience solutions at scale. | Eval GateAgent | 8 |
| Sr. Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Senior Software Development Engineer focused on AI for Prime Video's personalization and discovery systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and collaborating with cross-functional teams. The position also emphasizes mentoring junior engineers and publishing research findings. | Ship | 8 |
| Senior Applied Scientist, Fauna This role focuses on developing evaluation frameworks and data collection protocols for robotic capabilities, operating at the intersection of robotics, machine learning, and human-in-the-loop systems. The scientist will design how to measure, stress-test, and improve robot behavior, build infrastructure connecting teleoperation, evaluation, and learning, and lead technical projects. | Eval GateAgent | 8 |
