Currently tracking 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Amazon currently has 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 |
|---|---|---|
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on developing and deploying 1P audience segments for Amazon's EU marketing campaigns, using causal inference and machine learning to measure incremental lift and optimize marketing spend. The goal is to move beyond platform-led optimization to more personalized customer experiences, building reusable frameworks for scalable experimentation and informing future marketing strategies. | Agent | 7 |
| Software Development Engineer, Alexa Audio, Alexa Domains - Alexa Audio (Music) Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, aiming to improve model accuracy and reduce latency. The role involves designing and delivering software, creating infrastructure for LLMs, developing tools for evaluation, and influencing the operational roadmap for core audio services. | Serve |
| 7 |
| Software Development Manager, Offers Platform, Catalog Systems, ASCS Software Development Manager leading a team to build next-generation offer diagnostic and insight capabilities, focusing on AI agents and autonomous shopping experiences within Amazon's large-scale catalog systems. The role involves defining the agentic diagnostic paradigm and owning critical Tier-1 aggregation services. | AgentServe | 7 |
| Applied Scientist, Ads Measurement Science Applied Scientist role at Amazon Ads focused on developing and productionizing end-to-end measurement solutions using Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to provide insights and automate workflows for advertisers. | Ship | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| Software Development Engineer, Sponsored Products Global Optimization Software Development Engineer role focused on building and optimizing AI/ML-driven optimization services and recommender systems for Amazon Sponsored Products, aiming to improve advertiser campaign performance and product discovery. The role involves designing scalable APIs, deploying ML algorithms, and optimizing models for high-throughput, low-latency production environments. | AgentServe | 7 |
| Applied Scientist II, Advertising Incrementality Measurement Applied Scientist II role focused on developing and implementing machine learning and causal inference models for Amazon's advertising incrementality measurement. The role involves end-to-end model development, improving existing solutions, and collaborating with product and engineering teams to bring solutions to production. The team builds scientifically-rigorous causal inference methodologies at scale to help customers understand the impact of advertising. | Ship | 7 |
| Robotics Engineer, Datacenter Robotic Products & Services Robotics Engineer role focused on the design, deployment, and management of advanced robotic systems at scale within AWS data centers. The role involves developing robust robotic solutions, deploying them across multiple locations, and ensuring reliability, efficiency, and scalability. It requires collaboration with external partners and enterprise customers, and experience with vision language actuation models and shipping production code. | Agent | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Data Scientist, AWS Security Data Scientist role focused on leveraging advanced analytics and machine learning to protect AWS cloud infrastructure from security threats. The role involves developing and deploying anomaly detection models, predictive algorithms, and real-time analysis systems, as well as building and expanding LLM agent pipelines. Key responsibilities include analyzing large-scale security data, creating automated systems for threat identification, building data pipelines, and translating analytical findings into actionable insights. Experience with Python, statistical analysis, and machine learning is essential, with a focus on using AWS technologies like SageMaker and EMR. | AgentData | 7 |
| Senior Software Development Engineer, AWS Security Senior Software Development Engineer on the Gravemind team within Amazon Security, focusing on leading the design and implementation of AI-powered security automation, including intelligent incident response and natural language-driven security workflows. The role involves owning architecture, mentoring engineers, and driving operational excellence for services supporting 24/7 security operations. It also includes building scalable data pipelines and analytics solutions. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
| Software Development Engineer, Trust CX Innovations&AI Policy Software Development Engineer II role focused on building foundational systems and consumer-facing features for trustworthy AI experiences at scale, emphasizing privacy-preserving AI architectures, responsible AI frameworks, and explainable AI systems for consumer devices like Alexa and Echo. | AgentData | 7 |
| Software Development Engineer II, Devices & Services Trust CX Innovations Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems. | AgentData | 7 |
| Senior Applied Scientist, Experience Analytics Senior Applied Scientist role focused on building and deploying ML models for customer analytics and segmentation within AWS. The role involves contributing to customer understanding through segmentation models, behavioral classifiers, and predictive frameworks, with a strong emphasis on taking models from research to production. It requires building production ML infrastructure, framing new modeling problems, and collaborating with engineering teams to integrate ML systems into the CLARA platform and other frameworks. The role also involves contributing to scientific direction, mentoring, and documentation, with a focus on shipping models at scale and adapting to evolving customer behaviors driven by AI and agentic workflows. | ShipServe | 7 |
| Applied Scientist, Experience Analytics Applied Scientist role focused on building production ML infrastructure for customer analytics, including offline training pipelines, online scoring systems, and monitoring. The role involves signal analysis, pattern discovery, and predictive modeling, with a focus on behavioral signals from AI agents and agentic workflows, aiming to ship AI-augmented customer experiences. | ShipServe | 7 |
| Sr AI Solution Architect, Data & AI Specialist Solutions Architect team This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI, ML, and Agentic technologies. The architect will build technical relationships, craft scalable architectures, provide recommendations on various aspects of cloud adoption, and act as the voice of the customer internally. Responsibilities include creating technical content, leading deep dives, and ensuring solutions are production-ready. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and MLOps. | Agent | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products. | Agent | 7 |
| Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products. | Agent | 7 |
| Strategic Agentic Modernisation Consultant, AWS Professional Services Lead a landmark Agentic AI-powered application modernisation program for a large mining and resources company, modernizing a complex legacy platform using generative & agentic AI tooling and cloud-native architecture. This role involves strategic leadership, executive stakeholder management, and orchestrating a cross-functional team to deliver value and build customer self-sufficiency. | Agent | 7 |
| Strategic Infrastructure Modernisation Consultant, AWS Professional Services This role leads the design and deployment of a modern digital foundations architecture and enterprise AI platform for a large mining company. It involves scaling an AI platform to support 500+ concurrent agents, implementing an edge-to-cloud architecture across remote sites, and leading a team of engineers. The focus is on hardening the AI platform, enabling citizen development, and translating technical decisions into business outcomes. | AgentServe | 7 |
| Applied Scientist II, On Road Experience Applied Scientist II role focused on building machine learning models and algorithms for the Last Mile Driver Experience team at Amazon. The role involves working with data streams like video and telematics, and applying ML in areas such as mapping, pattern detection, and computer vision to improve delivery operations. The scientist will drive designs from ideation to production, focusing on building v1 products and delivering results in an ambiguous environment. | Agent | 7 |
| Business Intelligence Engineer, Supply Chain Data Science This role focuses on designing and delivering AI-native data architectures and business intelligence solutions for supply chain operations, integrating with AI agents to provide self-service analytics and automated insights. The engineer will own cloud infrastructure strategy, technical budget optimization, and architect data pipelines for GenAI consumption, ensuring scalability and extensibility across global operations. | Agent | 7 |
| Software Dev Engineer II, Conversational Ad Experiences Software Development Engineer II for the Conversational Ad Experiences (CAX) team within Amazon Ads, focusing on sponsored conversational shopping experiences powered by large language models (LLMs). The role involves designing and building net new conversational ad experiences on the Search page, integrating AI-driven solutions, and creating scalable systems for personalized ad experiences. This position requires building large-scale, low-latency distributed systems, ML infrastructure, data processing pipelines, and contributing to LLMOps, with a focus on customer-facing functionality impacting millions of shoppers. | Agent | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| Software Development Engineer, Alexa AI Software Development Engineer to design, build, and operate production systems for Alexa's AI runtime, focusing on agent communication platforms, intelligent request routing, and unified agent ingress. The role involves building infrastructure for AI agents and transforming LLM outputs into real-time responses. | AgentServe | 7 |
| Solutions Architect II, National Security Solutions Architecture Team Solutions Architect focused on designing and implementing AI/ML and agentic AI solutions for National Security customers, leveraging AWS services. The role involves customer engagement, technical thought leadership, architecture design, and influencing product development for classified environments. | Agent | 7 |
| Applied Science Manager, Sponsored Products This role leads a multi-disciplinary team of applied scientists and engineers focused on developing and deploying generative AI technologies for Amazon's Sponsored Products and Brands. The team works on complex engineering, optimization, and user-experience problems to deliver relevant product ads, driving both shopper experience and business monetization. Responsibilities include leading ML projects, building and deploying models, running experiments, establishing scalable processes, and researching new ML approaches. | ShipServe | 7 |
| Senior Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). The role involves driving major product and engineering initiatives, building large-scale, low-latency distributed systems, and developing ML infrastructure and data processing pipelines. The engineer will partner with scientists to implement LLM models in production and contribute to LLMOps, impacting customer-facing functionality for millions of shoppers. | Agent | 7 |
| Data Scientist , Sidewalk Data Scientist role focused on building and deploying ML models for Amazon Sidewalk's IoT network. Responsibilities include developing coverage forecast models, analyzing network telemetry, creating geospatial models, designing anomaly detection systems, and researching Generative AI/LLM solutions for troubleshooting. The role involves productionizing models and working with data engineers and product managers. | AgentData | 7 |
| Sr. Startup Solution Architect, GenAI , AWS Startups Frontier AI This role involves working with early-stage startups to help them leverage AWS technology for developing, training, tuning, and deploying generative AI foundation models. The focus is on providing architectural guidance, supporting the adoption of AWS services, and acting as a technical advisor to help startups build scalable, reliable, and secure solutions. | ServePost-train | 7 |
| Sr Applied Scientist, Private Brands Discovery This role focuses on designing and building machine learning solutions to enhance customer awareness and product discovery for Amazon's Private Brands. It involves end-to-end project management from ideation to launch, utilizing methods like NLP, deep learning, reinforcement learning, and causal inference. The scientist will work closely with engineering and business teams to solve complex problems and drive measurable business impact. | Ship | 7 |
| Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs Senior Software Engineer role focused on building and optimizing the AWS Neuron compiler for AWS Inferentia and Trainium chips. The role involves transforming ML models (PyTorch, TensorFlow, JAX) into optimized implementations for deep learning workloads, with a focus on large language models and vision transformers. Responsibilities include compiler optimization, working with chip architects, and contributing to open-source communities. | Serve | 7 |
| Senior Delivery Consultant - AI/ML, ASEAN Professional Services Senior Delivery Consultant for AWS Professional Services focusing on AI/ML solutions for customers in the ASEAN region. The role involves advising customers on ML possibilities, designing and implementing scalable ML solutions on AWS, leading customer engagements from pre-sales to delivery, and conducting workshops to identify business value through machine learning. | Ship | 7 |
| Software Development Manager, Prime Video Personalization and Discovery Software Development Manager for Prime Video Personalization and Discovery team, responsible for leading engineers in designing, implementing, and delivering large technology initiatives for AI-first personalization models at scale. Focuses on product ownership, user experience, and technical strategy for recommendation systems. | Ship | 7 |
| Data Scientist II, Intelligent Talent Acquisition This role focuses on leveraging Gen AI and multi-agent systems to revolutionize hiring processes at Amazon. The Data Scientist will develop and deploy ML models for anomaly detection, root cause analysis, and candidate quality optimization, aiming to improve efficiency and reduce defect detection time. The role involves working with AWS infrastructure and designing experiments to evaluate system stability and attract top talent. | AgentServe | 7 |
| Data Scientist I, Worldwide Product Compliance Data Scientist I role focused on developing and delivering core data science capabilities for AI-enabled operations, leveraging LLMs, Generative AI, and predictive analytics to create intelligent, data-driven operational solutions. The role involves assessing solution approaches, applying expertise to complex system interactions, owning end-to-end solutions, collaborating with diverse teams, and driving data science best practices and strategy within Amazon's global operations. | Ship | 7 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon on the Foundational AI — Quick & Automation Platform Team. This role focuses on building and scaling an AI-powered automation platform for internal Amazon Quick Suite features, enabling natural language workflow automation, agentic AI capabilities, and enterprise integrations at massive scale. The engineer will design and deliver features, own end-to-end delivery, and work at the intersection of AI/ML, distributed systems, and developer productivity. | AgentServe | 7 |
| Principal, Solutions Architect - Media, Entertainment, Games & Sports , Solutions Architecture - AWSI-MEGS Direct Accounts This role is for a Principal Solutions Architect focused on the Media, Entertainment, Games, and Sports (MEGS) vertical within AWS. The primary responsibility is to act as a strategic technical leader, driving long-term thought leadership, identifying high-value opportunities, and positioning AWS as a transformational partner for strategic customers. The role involves operating at the C-suite and VP level, advising senior technology leaders on cloud strategy and architecture, and designing scalable solutions for media, gaming, streaming, and sports workloads. A significant focus is on leveraging innovations in data patterns and AI, including Generative AI, to help customers re-imagine and transform existing systems. The role also involves evaluating new technologies, building reusable frameworks, and influencing AWS roadmaps based on customer needs. Experience with Data & AI technologies, including AI/ML and GenAI, is required, along with a strong background in cloud solutions architecture and customer-facing technical roles. | Agent | 7 |
| Senior Applied Scientist, Full-funnel Agentic Intelligence and Models Senior Applied Scientist role focused on developing core machine learning models for Full Funnel Campaigns in Amazon Advertising, aiming to understand and optimize shopping journeys across various ad products and publishers. Requires experience in building ML models for business applications and deep learning methods. | Agent | 7 |
| Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS) Senior Software Development Engineer role focused on developing innovative solutions in brand measurement for Amazon Ads, leveraging generative AI and machine learning to optimize advertising performance and provide AI-driven insights to advertisers. | Ship | 7 |
| Software Development Engineer, AGI - Web information retrieval Software Development Engineer to develop a multi-modal, multi-lingual web-scale information retrieval system combining LLMs with retrieval systems for question-answering, knowledge synthesis, and information grounding. Focus on building high-throughput data pipelines, optimizing core algorithms and ranking models, designing efficient data structures, optimizing performance/scalability/reliability, integrating ML models, developing control plane systems, and implementing real-time updates and streaming algorithms. | AgentServe | 7 |
| Data Scientist, SCOT Forecasting and Labs - CIV Team Data Scientist role focused on developing and implementing statistical, causal, and machine learning techniques for forecasting and inventory management within Amazon's retail supply chain. The role involves creating prototypes, collaborating with software teams for production implementation, and analyzing key business metrics to influence business direction. | Post-train | 7 |
| Sr Applied Scientist, Digital Ads , Amazon Digital Advertising Senior Applied Scientist role focused on developing state-of-the-art measurement approaches and machine learning models for Amazon's digital advertising business, operating at Petabyte scale. The role involves designing and analyzing large-scale experiments, collaborating with engineering teams to productionize models, and establishing scalable processes for model development and validation. Requires expertise in experimental statistics, machine learning, or causal inference, with a focus on building sophisticated decision engines and measurement systems. | Ship | 7 |
| Manager III, Software Dev, Search Science Data Infra The role is for a Manager III, Software Development within Amazon Search's Search Science Data Infrastructure team. The primary focus is on leading the development of services and infrastructure for ML model training data, feature engineering, and data quality monitoring. This involves managing the ML lifecycle and operations using AWS AI services and DL compute resources, and driving a scalable data-intensive infrastructure to enable data-driven ML services. The role also involves building training data systems for search ranking and matching models and providing technical leadership and mentorship. | Data | 7 |
| Sr. Software Development Engineer, Automated Reasoning Group Senior Software Development Engineer role focused on applying Automated Reasoning to verify Generative AI outputs, specifically addressing hallucinations within AWS services. The role involves designing and building new services and capabilities at scale, contributing to the evolution of the Automated Reasoning Checks (ARc) service, and making automated reasoning more accessible within AWS. | Eval Gate | 7 |
| Applied Scientist II, Prime Video - Personalization and Discovery Science Applied Scientist II at Amazon Prime Video focused on building and launching end-to-end AI solutions for personalization and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves designing and conducting experiments to evaluate solutions and requires a strong background in machine learning model development and application. | Ship | 7 |
