Currently tracking 1088 active AI roles, with 1266 new openings in the last 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 1520 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 (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 (983 roles), Canada (56 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 636 new AI-related roles. That is a -20% change versus the prior 30 days (798 → 636).
| Title | Stage | AI score |
|---|---|---|
| Software Development Engineer, PXT Case Management System Software Development Engineer role focused on building AI-powered capabilities within Amazon's HR support platform, leveraging AWS services to automate tasks and provide recommendations. The role involves end-to-end platform feature design and development, integration with HR systems, and ensuring operational health. | Agent | 5 |
| Ring CS - Salesforce Developer, Ring/Blink CS Technology Enablement This role focuses on designing and implementing Salesforce solutions within AI initiatives, integrating with AWS AI services to improve customer service efficiency through AI-powered automation. The primary focus is on Salesforce development and integration, not direct AI model building. | — | 5 |
| Software Development Engineer II, SKG Team |
| Agent |
| 5 |
| MLA Design Verification Engineer I, Annapurna Labs This role focuses on the design verification of hardware for machine learning acceleration, specifically mentioning AWS Inferentia. While it deals with hardware that runs ML models, the core responsibility is in hardware verification and design, not in developing or deploying ML models themselves. | — | 5 |
| Sr. Hardware Engineer - ML Acceleration, Annapurna Labs Hardware Design Engineer role focused on the definition, design, and validation of AWS next-generation ML Chips, Cards, and server integration. The role involves designing and optimizing hardware in data centers, with a focus on PCIe and Serdes topics for custom platforms within AWS datacenters. This position requires leadership in applying new technologies to large-scale server deployments to improve product performance, quality, and cost. | — | 5 |
| Sr Product Manager, Technical, Worldwide Promotions and Events This role is for a Senior Product Manager, Technical (PMT) at Amazon, focused on driving the strategy and launch of new features for the Worldwide Promotions and Events platform. The role involves understanding customer needs, defining product roadmaps, collaborating with engineering and UX teams, and running experiments to improve the customer experience and business outcomes related to promotions and deals on Amazon. While the role mentions using generative AI tools to enhance workflow efficiency and identify opportunities, the core responsibilities are product management for a consumer-facing platform, not direct AI/ML model development or deployment. | — | 5 |
| Sr. Technical Program Manager, PXT Central Science The Sr. Technical Program Manager will own and drive large, critical programs involving machine learning models and AI systems to improve employee experience at Amazon. This role requires coordinating cross-functional teams, managing program lifecycles, defining strategies, and ensuring successful delivery of AI/ML-driven solutions. | Ship | 5 |
| Associate Account Executive This role is for an Associate Account Executive at Amazon Web Services (AWS) focused on accelerating pipeline growth for new and existing customers. The role involves identifying opportunities, developing strategies, and engaging with customers using AI-powered sales tools and data-driven insights. It's positioned as an entry point into AWS sales, with a clear career path towards full-cycle selling. | — | 5 |
| Sr. Business Innovation Advisor, NAMER BD This role focuses on driving business outcomes for enterprise customers by connecting industry and business priorities to digital and AI strategy and solutions. The Senior Business Innovation Advisor will lead discovery workshops, build business cases quantifying transformation ROI, and develop customer-specific transformation roadmaps to inspire the adoption of AWS AI and cloud services. The role involves collaborating with sales leadership and account teams to shape deal structures and provide thought leadership on value-based selling practices. | — | 5 |
| Senior Sales Specialist, Analytics, Enterprise Accounts, AGS Enterprise Specialist Sales This role is a Senior Sales Specialist for Analytics within AWS Enterprise Accounts. The primary focus is on driving revenue and market share by helping customers leverage AWS analytics and AI/ML services, including Amazon SageMaker and Amazon Bedrock, to achieve their business goals. The role involves understanding customer needs, crafting strategic plans, articulating value propositions, and managing the sales process from evaluation to closing deals. It requires a blend of strategic sales leadership, technical acumen in cloud and AI solutions, and strong business development skills. | — | 5 |
| Sr. Technical Program Manager, Amazon Ads - Media Planning This role is for a Senior Technical Program Manager at Amazon Ads, focusing on the media planning platform and Demand Side Platform (DSP). The individual will lead cross-functional programs, define technical requirements, develop roadmaps, and drive operational excellence. The role involves working with engineering, product, and applied scientists on AI-powered planning tools and agentic AI experiences, impacting billions in advertising revenue. | Agent | 5 |
| Sr. Solutions Architect, Hi-Tech and Semiconductor Solutions Architect for AWS, focusing on driving adoption of AWS services, including Generative AI and Agentic AI, with enterprise customers in the Hi-Tech and Semiconductor industry. The role involves building technical relationships, providing recommendations on cloud architecture, and educating customers on AWS technologies. This role is customer-facing and involves understanding customer needs to inform AWS roadmaps. | — | 5 |
| Senior Security Solutions Architect, AWS Security & Networking - North America This role is for a Senior Security Solutions Architect at AWS, focusing on helping customers migrate workloads to the cloud and secure their generative AI applications. The role involves providing security expertise, designing and building solutions for security, risk, and compliance on AWS, and advising on identity and access management for both workforce and customer identities. The candidate will also develop technical artifacts, convey best practices, and mentor other AWS teams on security. | — | 5 |
| Operations Manager, Search - AI Data Operations Manager for AI Data at Amazon Search, focusing on leading a large team to deliver high-quality data annotation for ML models that power the customer search experience. The role involves managing operations, driving business metrics, partnering with applied science teams, and ensuring data quality for ML model training. | Data | 5 |
| Senior AI Sales Specialist (Startup), AWS Global Sales Senior AI Sales Specialist for AWS, focusing on Generative AI and Agentic AI technologies for startup customers. The role involves understanding customer goals, translating AI capabilities into business value, supporting adoption at scale, and contributing to revenue growth. Responsibilities include sales target achievement, account planning, technical discovery, solution design guidance, and customer engagement. | — | 5 |
| Associate, ML Data Operations, GO-AI Operations This role is for an Associate, ML Data Operations, focusing on data annotation for Amazon Robotics. It's a non-technical role that supports the training and validation of ML models by performing precise annotation tasks on image, video, and text data. The work involves object detection, segmentation, tracking, and evaluation, with a strong emphasis on data integrity and quality. | Data | 5 |
| Principal Data Solutions Architect, AGS-ASEAN Specialist Team This role is for a Principal Data Solutions Architect on the AWS ASEAN Specialist Team, focusing on partnering with strategic enterprise customers to drive data and AI transformations. The role involves acting as a trusted advisor to C-suite executives, architecting complex data and AI solutions, leading transformation initiatives, and navigating competitive platform migrations. While AI/ML is a component of the solutions, the primary focus is on data platforms, analytics modernization, and driving enterprise-wide platform decisions and transformation outcomes within a sales and customer-facing context. | — | 5 |
| Innovation Programs Lead, AWS APJ Innovation and Engagement This role focuses on driving customer impact and business outcomes by leveraging AWS technology and Amazon's innovation culture, with a specific emphasis on generative AI, agentic systems, and applied AI. The lead will facilitate executive engagements, build scalable mechanisms, and develop next-generation content to help enterprise customers realize value from their AI investments. | — | 5 |
| Sr. Business Intelligence Engineer This role is for a Sr. Business Intelligence Engineer at Amazon Business, focusing on building measurement, reporting, and analytics foundations. The goal is to support data-driven decisions and emerging generative AI experiences within the B2B space. The engineer will develop data models, visualization products, and reporting solutions, partnering with various teams to define metrics and drive insights. While the role supports AI initiatives and uses AI tools, its core craft is business intelligence and analytics engineering, not direct AI/ML model development. | — | 5 |
| Data Engineer I, SSD/ R2L Infrastructure Data Engineer role focused on building and maintaining data pipelines and infrastructure, with a specific emphasis on contributing to generative AI initiatives and AI-enabled tools. Requires experience in data engineering, ETL, SQL, and scripting languages, with a plus for AWS and generative AI tool familiarity. | Data | 5 |
| Sr. Software Development Engineer, Amazon Athena - Engine Senior Software Development Engineer role focused on enhancing Amazon Athena by providing customers with insights into their query performance, cost, and potential issues. The role involves leveraging AI/ML experience to drive optimizations and developing new capabilities within the Athena query engine and its distributed systems. | Serve | 5 |
| Sr. UX Designer, Amazon Ads - Brand Innovation Lab Senior UX Designer for Amazon Ads' Brand Innovation Lab, focusing on defining and leading advertising experiences across emerging technologies like generative AI. The role involves end-to-end design strategy, user research, prototyping, and collaboration with cross-functional teams to deliver innovative customer experiences. | — | 5 |
| Lead SDE C/C++ Hardware/Software Co-Design, Machine Learning Acceleration Systems Lead SDE C/C++ role focused on hardware/software co-design for ML acceleration systems, developing bare metal firmware for custom ASIC-based ML Accelerator chips. The role involves working at the intersection of hardware and software, collaborating with design teams, and driving best practices in embedded development for ML infrastructure. | — | 5 |
| Software Development Engineer, Alexa Customers & Technology Software Development Engineer role focused on building next-generation Amazon Echo devices, involving system architecture, feature development, performance optimization, and firmware for embedded systems. The role also emphasizes driving the adoption of Generative AI tools within the software development lifecycle. | — | 5 |
| Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology This role focuses on developing scientific and optimization models for supply chain logistics, including inventory placement and product flow. It involves leveraging data science techniques, machine learning, and potentially LLMs for explainability, within an enterprise AI context. The primary output is optimized supply chain strategies and tools. | Data | 5 |
| Senior Software Development Engineer, AWS Config Senior Software Development Engineer role focused on building agentic AI solutions for automating the lifecycle of AWS resource type onboarding. The role involves designing and building AI agent orchestration systems, working with large-scale distributed systems, and reasoning about AWS service APIs to automate tasks with minimal human intervention. | Agent | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements to enhance labeling quality. The role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions. | Data | 5 |
| Sr Data Associate (NL), Artificial General Intelligence Data Services This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The role requires strong analytical skills, attention to detail, and the ability to interpret and implement detailed instructions. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing error patterns, and proposing solutions to enhance labeling quality. The goal is to support the responsible development and deployment of generative AI and LLMs. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation across various data modalities (text, speech, audio, image, video). The role involves delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to enhance labeling quality. It requires strong attention to detail, analytical thinking, and the ability to interpret and implement detailed instructions. | Data | 5 |
| AI Data Associate (Dutch) , Artificial General Intelligence Data Services The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include maintaining confidentiality, meeting KPIs, analyzing root causes of errors, and proposing process improvements. The role supports daily operational deliverables and provides floor support for clarification. | Data | 5 |
| Principal TPM - Prime Video, AI Automation Principal Technical Program Manager to define and drive strategy for AI automation across Prime Video, influencing VP+ level decisions, identifying technical risks, and creating scalable mechanisms for responsible AI adoption and integration. The role involves advising senior leaders, managing cross-organizational initiatives, and ensuring alignment with business objectives for improved efficiency and customer experience in entertainment. | Agent | 5 |
| Senior Software Engineer, Amazon Access Senior Software Engineer role focused on building greenfield infrastructure for Amazon Access, a healthcare benefits platform. The role involves designing and building scalable, ML-integrated systems for personalization and eligibility, with a focus on end-to-end ownership, architectural decisions, and applying engineering best practices. The position is part of the founding Bangalore engineering team and requires experience in distributed systems, ML, and potentially healthcare/fintech domains. | Ship | 5 |
| Software Development Engineer, ML Systems Integration, Machine Learning Israel (MLIL) — Integration Validation Software Development Engineer focused on ML Systems Integration and Validation for next-generation ML accelerator servers. The role involves owning CI/CD pipelines, test frameworks, and system-level validation for ML inference platforms, including performance benchmarking for LLM inference workloads. | Serve | 5 |
| Senior Frontier AI Partner Development Manager, AMER Startup Partner Team This role is for a Senior Frontier AI Partner Development Manager at Amazon Web Services (AWS), focusing on building and managing relationships with startup Generative AI partners. The primary responsibility is to drive go-to-market strategies, adoption of AWS services, and revenue growth through these partnerships. The role requires a blend of technical understanding, business development, sales, and partnership management skills, with a focus on strategic planning and execution for AI startups. | — | 5 |
| Data Scientist II, NASC S&OP The Data Scientist II will design and implement solutions to address complex business questions using advanced statistical and machine learning (ML) techniques, experimentation, and big data. In this role, you will build scalable ML models, apply advanced analysis technique and statistical concepts to draw insights from massive datasets, and create intuitive science models and data visualizations. You can contribute to each layers of a data solution – you will work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, and implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality. | Data | 5 |
| Senior Solutions Architect, Startups This role focuses on working with early-stage startups to help them leverage AWS technology at scale, acting as a trusted advisor and influencing their technical decisions. It involves designing large-scale architectures, supporting platform evolution, and advocating for customer needs with product teams. The role also includes creating technical content and presenting at events. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is a Security Assurance Solutions Architect for AWS, focusing on helping enterprise customers design, build, and operate secure cloud environments. The role involves advising customers on risk, regulatory, and compliance requirements, particularly for sensitive workloads and regulated data migrating to the cloud. It emphasizes understanding and translating compliance needs into scalable solutions, working with various AWS teams, and potentially traveling to customer sites. While the role mentions Generative AI and responsible AI practices as a way to augment productivity, its core function is in cloud security, risk, and compliance, not in building or directly shipping AI models or agents. | — | 5 |
| Finance Manager - SCOT Automated Inventory Management , SCOT AIM Finance Finance Manager for Amazon's SCOT Automated Inventory Management (AIM) team, focusing on financial strategy, investment decisions, and controllership for AI/ML-driven supply chain systems across various global markets. The role involves deep partnership with technical and business leaders, financial modeling, performance assessment of algorithmic outcomes, and leveraging AI tools for analysis. It sits at the intersection of finance, AI, and supply chain strategy, requiring comfort with ambiguity and operating at multiple altitudes. | — | 5 |
| Data Engineer, NAST-CX Tech Data Engineer role focused on building and maintaining scalable data infrastructure and ETL pipelines to support business intelligence, analytics, and machine learning models within Amazon Transportation Services. The role involves integrating diverse data sources, curating data, and automating data pipelines using AWS technologies. | — | 5 |
| Program Manager, Alexa AI Program Manager for Alexa AI, focusing on driving cross-functional programs from machine learning research to customer-facing product delivery. The role involves managing the end-to-end lifecycle of initiatives, defining requirements, driving execution, and communicating progress and risks to senior leadership. It requires collaboration with engineers and scientists to ship features and improvements across languages, modalities, and devices. | Ship | 5 |
| Sr. Customer Solutions Manager, USAF Senior Customer Solutions Manager for AWS supporting US Air Force (USAF) Intelligence and Information Dominance customers. The role focuses on accelerating cloud and AI adoption, driving customer outcomes, and managing complex engagements within DoD environments. Responsibilities include developing adoption strategies, identifying opportunities for generative AI and modernization, and acting as a trusted advisor to senior decision-makers. | — | 5 |
| Senior Manager, PMT-ES, Amazon Connect Customer Senior Product Manager for Amazon Connect's Workforce Acceleration team, focusing on developing next-generation generative AI-infused contact center capabilities. The role involves defining product roadmaps, requirements, and go-to-market strategies, working cross-functionally to deliver high-scale, customer-focused solutions. | Ship | 5 |
| Sr. Analytics Specialist SA, Solutions Architecture This role focuses on designing and implementing cloud-based analytics solutions on AWS, including data warehousing, data lakes, and real-time analytics. The specialist will help customers build data foundations for advanced analytics, ML, and AI, bridging data engineering and data science to enable feature engineering, experimentation, and model training data pipelines at scale. | Data | 5 |
| Senior AI Specialist Sales, GenAI/ML, Enterprise This role is a Senior AI Specialist Sales position focused on Generative AI and Machine Learning within Amazon Web Services (AWS). The primary responsibility is to drive adoption and revenue growth for AWS's Generative AI services by identifying customer opportunities, understanding their needs, and aligning them with AWS solutions. The role involves consultative selling, acting as a trusted advisor, and developing go-to-market strategies. While the role is deeply involved with AI/GenAI services, the core function is sales and business development, not direct AI/ML model development or research. | — | 5 |
| Economist II, JP Economics & Decision Sciences, JP Economics and Decision Sciences Seeking an Economist to apply economic and econometric methods to guide business decisions in Amazon's JP marketplace. The role involves building causal inference models to measure initiative impact, optimizing pricing and selection, and collaborating with data scientists and engineers. The Economist will also design and analyze experiments, develop analytical frameworks in R/Python/Stata, and present findings to stakeholders. This role is pioneering for economists outside North America and EU, aiming to expand Amazon's economist community in Asia and impact international operations. | — | 5 |
| Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence This role focuses on customer success and business transformation for enterprise clients adopting AWS's generative AI platform (Amazon Quick). The specialist will design strategies, develop methodologies, and enable partners to help customers move from AI experimentation to systematic business process reinvention at scale. The role involves thought leadership, influencing product roadmaps, and driving measurable business value realization through AI adoption. | — | 5 |
