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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Sr Software Development Engineer, Neuron Collectives, Annapurna Labs Software Engineer role focused on optimizing collective operations for AWS Trainium, a purpose-built AI training chip. The role involves enhancing collective algorithms and topologies, identifying bottlenecks, and optimizing communication patterns to scale AI compute across the data center, working closely with hardware teams. | Data | 8 |
| Applied Scientist II, Sponsored Products and Brands - Advertiser Growth and Strategies This role focuses on designing and building agentic AI applications for Amazon advertisers. The primary responsibilities include developing agent architectures, creating tools and datasets, and building systems that can reason, plan, and act autonomously. The role involves working on fine-tuning, reinforcement learning, preference optimization, and evaluation frameworks to ensure safety and reliability. It also includes advancing the agent ecosystem through experimentation with tool orchestration, multi-step reasoning, and adaptive preference-driven behavior, ultimately aiming to create a personalized, context-aware agentic advertiser guidance system. | AgentPost-train | 8 |
| Applied Scientist II, GenAI Evaluation Media (GEM) Applied Scientist II focused on GenAI Evaluation Media (GEM) for visual shopping experiences. The role involves research and development of agentic AI capabilities for visual understanding, content generation, personalization (virtual try-on), and automated quality assurance. It emphasizes multimodal understanding, real-time generation, and scalable personalization, integrating computer vision, NLP, and generative AI to create agentic shopping experiences. Success requires defining metrics, cross-functional collaboration, and staying at the forefront of AI advancements. The role requires rigorous research and practical engineering skills for production deployment. | AgentPost-train | 8 |
| Software Development Engineer, Trust CX Innovations&AI Policy Software Development Engineer II role focused on building foundational systems and consumer-facing features for trustworthy and responsible AI experiences in consumer devices like Alexa and Echo. The role involves designing and implementing privacy-preserving AI architectures, federated learning, differential privacy, explainable AI interfaces, and AI safety guardrails, with a focus on balancing performance, privacy, and customer trust. | AgentServe | 8 |
| Senior Security Engineer, Ads Security Senior Security Engineer focused on building AI-powered security automation solutions and agentic AI workflows for Amazon Ads. The role involves designing, developing, and evaluating AI systems for security use cases like anomaly detection and log analysis, with a focus on production deployment and continuous improvement. | AgentData | 8 |
| Senior Applied Scientist, Healthcare and Life Science Services Senior Applied Scientist role at AWS Applied AI Life Sciences focusing on designing, developing, and deploying novel Agentic systems and ML solutions for healthcare challenges. The role involves establishing ML best practices, collaborating with cross-functional teams, and mentoring junior scientists. | Agent | 8 |
| Principal Security Solutions Architect, AI-Driven Guidance, Well-Architected Solutions Innovation Principal Security Solutions Architect focused on defining and driving strategic vision for security-focused architectural guidance best practices across AI workloads on AWS. The role operates at the intersection of AI technologies, cloud architecture, and security engineering, ensuring AI workloads achieve Well-Architected outcomes with a deep focus on security. Responsibilities include setting technical direction, providing thought leadership on securing AI architectures (model security, data pipelines, prompt injection, inference endpoint hardening, secure agentic workflows), influencing service roadmaps, engaging with enterprise customers, driving innovation in content delivery, and hands-on technical validation. | Agent | 8 |
| Principal Solutions Architect, AI-Driven Guidance, Well-Architected Solutions Innovation This role focuses on defining and driving the strategic vision for architectural guidance best practices for AI workloads on AWS. The Principal Solutions Architect will operate at the intersection of AI technologies and cloud architecture, ensuring AI workloads achieve Well-Architected outcomes. Key responsibilities include setting technical direction, providing thought leadership on Generative AI and Agentic AI (including foundation models, RAG, fine-tuning, prompt engineering, agentic workflows, multi-agent orchestration, and responsible AI), establishing quality standards and guardrails, influencing AWS service roadmaps, engaging with enterprise customers, driving innovation in content delivery, and providing hands-on technical validation through prototyping. | AgentServe | 8 |
| Senior Applied Scientist (Computer Vision), Camera and Sensors Senior Applied Scientist focused on computer vision and multimodal perception models for Amazon devices, involving algorithm development, experimentation, and implementation with large-scale data and computing resources. | Ship | 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 |
| Principal AI Compute SA, AGS Namer Tech This role is for a Principal AI Compute SA at Amazon Web Services (AWS), focusing on designing and architecting scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions for strategic enterprise accounts. The role involves acting as a subject matter expert and trusted advisor to customers, guiding them through their AI transformation journey, developing technical content, and collaborating with internal AWS teams to drive adoption of AWS AI services. The focus is on production-grade, responsible AI practices and enabling customers to leverage advanced AI capabilities on AWS. | Agent | 8 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer II to design and build AI-powered advertiser controls, including bidding systems, agentic architectures, and experimentation systems. The role involves developing AI engineering infrastructure, interfacing agentic architectures, and designing experimentation systems to optimize ad campaigns on Amazon. | AgentServe | 8 |
| Sr. Manager of Applied Science - Catalog Services, Product Knowledge GenAI Sr. Applied Science Manager to lead a team of scientists in building and scaling AI systems for deep product understanding, metadata organization, and generation within Amazon's e-commerce catalog. The role involves driving ML, NLP, and GenAI initiatives, creating agents, and delivering models into production. | AgentPost-train | 8 |
| Deep Learning Architect, AWS Gen AI Innovation Center This role focuses on designing, implementing, and scaling generative AI solutions for AWS customers, acting as a bridge between customer needs and AWS AI capabilities. It involves customer engagement, solution architecture, and providing guidance on best practices for responsible and cost-efficient AI deployment. | AgentPost-train | 8 |
| Applied Scientist II, Trustworthy Shopping Experience (TSE) Applied Scientist II on Amazon's Trustworthy Shopping Experience (TSE) team, focusing on building and productionizing generative AI solutions for automating complex manual investigation processes at scale. The role involves designing and building agentic AI systems with multi-step reasoning, autonomous task execution, and multimodal intelligence, leveraging techniques like SFT, RFT, and few-shot approaches. The scientist will also work on prompt optimization, novel Finetuned transformer architectures, and identifying business problems to apply state-of-the-art LLM workflows. The role offers end-to-end ownership from research to production deployment, with a focus on impacting cost-of-serving customers while maintaining trust and safety. | AgentPost-train | 8 |
| Applied Scientist II, Trustworthy Shopping Experience (TSE) Applied Scientist II on Amazon's Trustworthy Shopping Experience (TSE) team, focusing on building and productionizing generative AI solutions for automating complex manual investigation processes at scale. The role involves designing and building agentic AI systems with multi-step reasoning, autonomous task execution, and multimodal intelligence, leveraging techniques like SFT, RFT, and few-shot approaches. The scientist will also work on prompt optimization, novel Finetuned transformer architectures, and identifying business problems to apply state-of-the-art LLM workflows. The role offers end-to-end ownership from research to production deployment, with a focus on impacting cost-of-serving customers while maintaining trust and safety. | AgentPost-train | 8 |
| Head of Applied Science The Head of Applied Science at Audible will manage research teams, drive technical vision and strategy, and translate complex business requirements into production-ready ML solutions. This role involves leading the full development cycle from research to maintenance, evaluating new ML technologies, and collaborating across science, engineering, and product teams to deliver customer-facing AI products. | Ship | 8 |
| Senior Worldwide Specialist Solutions Architect - GenAI, Amazon Bedrock, Data & AI GTM Senior Solutions Architect for AWS GenAI services, focusing on helping enterprise customers design, deploy, and fine-tune GenAI applications using Amazon Bedrock and SageMaker. The role involves acting as a Subject Matter Expert, providing technical guidance, developing thought leadership content, and gathering customer feedback to influence product roadmaps. Requires deep technical experience with LLM architectures, fine-tuning, evaluation, and LLM-powered agents. | AgentPost-train | 8 |
| Senior Applied Scientist Senior Applied Scientist to lead the development of next-generation object tracking systems for autonomous robots, fusing classical estimation theory with modern learning-based approaches. The role involves architecting robust, real-time tracking pipelines, developing sensor fusion, pioneering learning-based tracking methods, and establishing evaluation frameworks for safe and intelligent robot behavior. | AgentData | 8 |
| Sr GenAI Infra Specialist SA, AWS WWSO Startup Senior GenAI Infrastructure Specialist SA for AWS WWSO Startup team, focusing on advising startup customers on AI infrastructure for model training and inference optimization. This role involves deep technical guidance on hardware, orchestration, frameworks, and optimization techniques for large-scale AI workloads on AWS. | ServePost-train | 8 |
| Applied Scientist III, Whole Body Control This Applied Scientist III role focuses on developing advanced robotics systems by applying deep learning and large language models to whole body control for balance, locomotion, and dexterous manipulation. The role involves implementing real-time controllers and collaborating with multi-disciplinary teams to shape the future of automation and human-robot collaboration. | ShipAgent | 8 |
| Applied Science Manager, Personalization Manager for a team building Amazon's next-generation customer memory and personalization systems using LLMs, focusing on extracting, curating, and reasoning over customer knowledge for real-time personalization. The role involves end-to-end ML solution delivery, from problem formulation to production deployment at scale, and leading scientists in this domain. | Agent | 8 |
| Applied Scientist, Personalization, Personalization Seeking an Applied Scientist to build Amazon's next-generation customer memory and personalization systems. This role involves designing and building ML and LLM-powered solutions for extracting, curating, and reasoning over customer knowledge to power personalization. The work spans information extraction, knowledge representation, LLM reasoning, and recommendation systems, operating under real-world constraints of scale, latency, and quality. The scientist will own end-to-end delivery from problem formulation to production deployment. | AgentData | 8 |
| Applied Scientist, Personalization, Personalization Seeking an Applied Scientist to build Amazon's next-generation customer memory and personalization systems. This role involves designing and building ML and LLM-powered solutions for extracting, curating, and reasoning over customer knowledge to power personalization. The work spans information extraction, knowledge representation, LLM reasoning, and recommendation systems, operating under real-world constraints of scale, latency, and quality. The scientist will own end-to-end delivery from problem formulation to production deployment. | AgentData | 8 |
| AI Solution Architect AWS is seeking an AI Specialist Solution Architect to guide customers in adopting GenAI/ML and Agentic technologies. This role involves building technical relationships, crafting scalable architectures, and providing expert advice on security, cost, performance, and operational efficiency for AI/ML projects. The architect will also contribute to AWS's roadmap by sharing customer needs and creating technical content like whitepapers and reference architectures. | AgentServe | 8 |
| Senior Machine Learning Software Development Engineer, AI Ops Integration Senior Machine Learning Software Development Engineer focused on integrating AI Operations within Amazon's Supply Chain. The role involves designing and deploying production ML/LLM systems and agentic AI solutions, orchestrating complex workflows, and defining technical strategy for internal tooling. Responsibilities include end-to-end system design, integration architecture, driving engineering excellence across the ML lifecycle, and implementing safety measures like guardrails and evaluation frameworks. The role also involves mentoring junior engineers and partnering with stakeholders to translate business problems into technical solutions. | AgentServe | 8 |
