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 683 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Dev Engineer II, Prime Video Pesonalization & Discovery Growth Tech Software Development Engineer II for Prime Video's personalization and discovery growth team. This role focuses on building and maintaining a multi-channel campaign management system that uses machine learning, customer profile data, engagement propensity models, and recommendations to automate customer segmentation and targeting for personalized content delivery. The role also involves working with stakeholders, ensuring operational excellence, and driving observability goals. | Ship | 5 |
| Sr. WW GTM Specialist, Agentic AI - Kiro & Frontier Agents, Data & AI GTM This role is a Go-To-Market (GTM) Specialist for Amazon Web Services (AWS) focusing on Agentic AI services, specifically Kiro and Frontier Agents. The primary responsibility is to lead the GTM strategy, drive adoption through customer engagements, and act as a liaison between customers and product teams to influence the product roadmap. The role involves building relationships with C-level stakeholders, delivering presentations and demos, and representing AWS at industry events. While the role is deeply involved with AI products, it is focused on the go-to-market and product strategy aspects rather than direct AI/ML model development or engineering. |
| — |
| 5 |
| Software Development Engineer - Big Data Analytics, Measurement, AdTech and Data Science Software Development Engineer role focused on building and operating a big data analytics and visualization platform for Amazon's advertising business. The role involves designing, developing, and deploying software products that process terabytes of data daily, applying machine learning and big data technologies to provide performance insights and measure advertising impact. It emphasizes building petabyte-scale services and inventing new big data paradigms. | Data | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| Software Development Engineer II, Managed Operations (MO), Citadel Development Team Software Development Engineer II role focused on building solutions for AWS Managed Operations (MO) team, specifically to support Governance and security of Agents and convert the platform to an agentic-first interface. The role emphasizes leveraging Generative AI tools and AI-assisted development to accelerate various stages of the software development lifecycle, including prototyping, development, validation, testing, and documentation, while being mindful of responsible AI usage in security-sensitive environments. | Agent | 5 |
| Software Development Engineer, PXT Software Development Engineer role focused on building AI-powered HR support solutions using AWS services, including generative AI, for Amazon's People eXperience & Technology (PXT) organization. The role involves architectural design, development of scalable platform features, and integration of AI for predictive support and workflow orchestration. | Agent | 5 |
| Software Development Engineer, PXT Software Development Engineer role focused on building AI-powered HR support solutions using AWS services, including generative AI, for Amazon's PXT organization. The role involves architectural design, development, and integration of platform features to create personalized and efficient employee experiences. | Agent | 5 |
| Senior Business Intelligence Engineer, Devices Demand Science Optimization This role focuses on building AI-powered data products and automating business workflows using GenAI. The engineer will design and maintain data pipelines and semantic layers to make data accessible to AI agents, and integrate AI features into BI solutions. The role is at the intersection of analytics, data engineering, and AI, aiming to scale business intelligence across multiple teams. | Agent | 5 |
| Sr. Technical Account Manager, National Security - ES US-ADC This role is a Sr. Technical Account Manager (TAM) for National Security customers within AWS Enterprise Support. The TAM will act as a strategic technical advisor and the 'voice of the customer', helping customers gain value from AWS services, including AI and Machine Learning. The role involves crafting and executing strategies for customer adoption, providing technical guidance, and ensuring operational health of AWS environments. It requires a US Citizen with an active TS/SCI security clearance with polygraph. | — | 5 |
| Sr. WW Specialist SA, Data Protection, AWS WWSO Security Services This role focuses on providing expert guidance and technical solutions for data protection challenges within AWS, specifically involving encryption, key management, and securing generative AI and agentic workloads. The individual will lead customer engagements, develop technical expertise, and influence product roadmaps by translating customer feedback into requirements. | — | 5 |
| Solutions Architect, Hi-Tech and Semiconductor Solutions Architect role focused on helping enterprise customers adopt AWS cloud services, with a specific emphasis on Generative AI and Agentic AI architectures. The role involves understanding customer needs, recommending cloud solutions, and influencing AWS product roadmaps. | — | 5 |
| AI Editor, Alexa for Shopping - Content and Marketing Experiences This role focuses on improving the fluency and quality of AI models for Alexa for Shopping through human-in-the-loop evaluations and LLM judge audits. The AI Editor will uphold quality, style, and tone guidelines, use customer feedback for model improvement, and collaborate with Product, Science, and Design teams to evaluate CX metrics and ensure continual model improvements. The role requires strong communication, judgment, project management, and curiosity. | — | 5 |
| Sr. PMT-ES, Amazon Bedrock This role is for a Senior Technical Product Manager on the Amazon Bedrock team, focusing on Generative AI products. The individual will own production products, drive product plans, be responsible for revenue and adoption, and work with technical teams to deliver innovative solutions to developers worldwide. The role requires strong product management, business acumen, and experience in launching and scaling SaaS/PaaS/IaaS products, particularly in cloud computing and enterprise security. | Ship | 5 |
| MAC Automation & Analytics Engineer, Leo MAC Engineer to build and own the MAC Analyzer and MAC feature automation framework, leveraging ML-based anomaly detection and predictive capabilities for diagnostics and automated validation of MAC features. | Data | 5 |
| MAC Automation & Analytics Engineer, Leo MAC Engineer to build and own the MAC Analyzer and MAC feature automation framework, leveraging ML-based anomaly detection and predictive capabilities for diagnostics and automated validation of MAC features. | Data | 5 |
| Telco ISV Global Account Manager Sales professional to lead and grow strategic relationships with global Telco network equipment providers, driving digital transformation and revenue growth through strategic engagement with C-level executives and IT decision-makers. Focuses on accelerating adoption of AWS services, including AI/ML and Generative AI, to solve complex challenges and deliver measurable business outcomes. | — | 5 |
| Software Development Engineer, Hiring Intelligence, Science & Experimentation (HIRISE) Software Development Engineer role focused on building and launching core product features for Amazon's Intelligent Talent Acquisition (ITA) team. The role involves working with AI systems and machine learning algorithms to improve the hiring process, specifically focusing on online candidate assessments and connecting candidates to jobs. The engineer will drive system architecture and lead development of scalable, high-performance products within a hyper-growth environment. | Ship | 5 |
| Senior Software Development Engineer, Sponsored Products and Brands Senior Software Development Engineer to drive product and engineering initiatives for conversational ad experiences powered by LLMs. The role involves designing, building, and operating large-scale, low-latency distributed systems, ad serving infrastructure, and data processing pipelines. It requires collaboration with product and science teams to build end-to-end solutions and owning customer-facing functionality for sponsored conversational experiences. | AgentServe | 5 |
| Senior RFx Automation Manager This role focuses on automating and improving the RFx response process within AWS by leveraging AI/ML tools, generative AI, and agentic AI. The Senior RFx Automation Manager will own the intersection of process, data, content, and automation, building scalable, self-service tools and mechanisms to eliminate manual orchestration. Key responsibilities include scaling self-service capabilities, analyzing data to identify bottlenecks, building data pipelines, identifying automation opportunities, and managing content architecture. The role requires strong program management, data fluency, business analysis, and content strategy skills, with an emphasis on building programmatic solutions and leveraging emerging technologies. | Agent | 5 |
| Sr. Software Dev Engineer, Web Experiences Senior Software Development Engineer for Amazon Silk browser team, focusing on designing and implementing backend cloud services for intelligent and personalized browsing experiences. The role involves owning API contracts, data models, scaling, latency, and reliability, collaborating with cross-functional teams, and mentoring junior engineers. While the team works with AI, voice, and personalization features, the core role is backend service development for a consumer product. | — | 5 |
| Games Partner Solutions Architect, Partner & Industry Specialists This role is for a Senior Partner Solutions Architect within Amazon Web Services (AWS), focusing on the Media, Entertainment, Games & Sports (MEGS) sector, specifically the Video Games industry. The individual will shape industry solution strategies with AWS partners, focusing on repeatable solutions for line-of-business use cases. Responsibilities include technical sales, evangelizing solutions, providing architectural guidance, and accelerating customer cloud adoption. While the role involves discussing AI/ML applications in games (generative AI, player behavior modeling, matchmaking, anti-cheat), the core function is not building AI models but enabling partners and customers to leverage AWS services, including AI/ML, for their game development and operations. | — | 5 |
| Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects This role is for a Sr. GenAI/ML Specialist Solutions Architect who will help customers design and implement solutions using AWS AI/ML services, focusing on Generative AI use cases. The role involves understanding customer needs, recommending appropriate AWS services (like SageMaker and Bedrock), acting as a technical liaison, and driving adoption of these services. | Serve | 5 |
| Software Dev Engineer II, Customer Service Security Software Development Engineer II on the Customer Service Application Security team at Amazon. This role focuses on building innovative security solutions using AI/ML technologies, prompt engineering, and security frameworks to automate security processes, secure applications and data, and enable developers to ship secure code quickly. The engineer will architect and develop AWS solutions, build reusable security libraries and tools, and collaborate with security and development teams. | Agent | 5 |
| Senior Software Development Engineer, Engagement Security Senior Software Development Engineer to build and operate large-scale, distributed systems that power internal security services, including supporting AI/ML workloads and LLM applications. The role focuses on designing, implementing, and operating infrastructure and tooling that enable AWS teams to deliver securely, with an emphasis on automation, operational health, and leveraging AI for service improvement. | Serve | 5 |
| Software Development Engineer, AWS Identity Software Development Engineer on the AWS Identity team, focusing on IAM Access Analyzer. The role involves building products that combine automated reasoning and machine learning to recommend and manage access control for AWS customers. Responsibilities include designing, implementing, and deploying systems, defining solutions for data processing and ML, and developing customer-facing capabilities using automated reasoning and ML techniques. | Agent | 5 |
| Software Development Engineer II, DynamoDB Software Development Engineer II on the DynamoDB Capacity and Customer Entitlement team, responsible for designing and building production systems that optimize capacity planning and fleet scaling for DynamoDB's infrastructure. This role involves working on challenging distributed systems problems, building automated scaling algorithms, capacity management tools, and operational workflows. A key aspect is building ML-integrated prediction systems for demand forecasting and capacity allocation, and also leveraging AI coding tools to improve development velocity and code quality. | Serve | 5 |
| Data Solutions Lead, Data Collection Excellence This role focuses on consulting with AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. It involves defining data collection requirements, coordinating delivery, and optimizing collection health metrics. The role requires experience in ML data operations and understanding of data annotation/ML workflows. | — | 5 |
| Language Engineer, Artificial General Intelligence - Data Services The Language Engineer will focus on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets to advance NLP and ML. Responsibilities include designing data collection tasks, analyzing data for insights, building data analysis tools, and collaborating with scientists to evaluate language models. | Data | 5 |
| Senior Product Manager - Technical, ES , AWS Payments and Fraud Prevention Product Manager for AWS Payments and Fraud Prevention, focusing on defining and driving large-scale, cross-company initiatives. The role involves managing the complete payment lifecycle, protecting against fraud, and leveraging AI to enhance customer experience and operations, including autonomous systems, fraud investigation acceleration, real-time decision-making, and personalized payment experiences. The role requires developing strategy, driving roadmap, and working with engineering and cross-functional teams to deliver platform improvements and new products. | Ship | 5 |
| Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions, particularly with Amazon Connect and Lex. The role involves acting as a trusted advisor to customers, guiding them through their cloud journey, providing technical expertise, and ensuring successful project delivery. Requires experience in cloud architecture, contact center technology, and conversational AI frameworks. | — | 5 |
| Sr. Technical Program Manager, Alexa Excellence AI Ops The Sr. Technical Program Manager will drive programs focused on AI-powered operations for Alexa, ensuring availability and reliability. This role involves managing initiatives for intelligent anomaly detection, automated incident response, and predictive reliability systems, as well as supporting Alexa's international expansion. The TPM will partner with scientists, engineers, and business leaders to deliver programs that advance operational intelligence at scale. | Ship | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures. | — | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Principal PMT, Creative Intelligence Product Manager role focused on defining the vision and strategy for AI-powered creative intelligence and optimization systems within Amazon Ads. The role involves owning the product definition for closed-loop systems that improve creative performance, establishing quality frameworks, and driving cross-organizational alignment. The goal is to make personalized, high-performing creative a foundational layer of advertising. | Ship | 5 |
| Software Development Engineer This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks. | — | 5 |
| Software Development Engineer This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks. | — | 5 |
| Sr Business Intelligence Engineer, FBA Analytics This role is for a Sr. Business Intelligence Engineer focused on FBA Analytics at Amazon. The primary responsibilities involve developing analytical methods, KPIs, and dashboards, and building AI workflows to support data-driven strategic decisions. The role requires strong SQL, data processing, and statistical analysis skills, with experience in AWS technologies and scripting for automation. While it mentions building AI workflows and using machine learning, the core focus is on business intelligence and analytics rather than core AI/ML model development. | — | 5 |
| Software Development Engineer, AWS This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure. | Serve | 5 |
| Research Scientist, Amazon Music - DISCO Research Scientist role focused on measuring and optimizing marketing activities for Amazon Music using causal models and RCTs. The role involves designing, building, and validating causal models, conducting randomized controlled trials, performing statistical analysis, and providing data-driven recommendations to marketing teams. It requires a strong background in consumer research, causal inference, and statistical analysis, with the ability to translate complex data into actionable insights. | — | 5 |
| Sr. Technical Business Development Manager, AWS Cloud Innovation Centers This role supports the AWS Cloud Innovation Center (CIC) by building and maintaining a pipeline of technical prototyping engagements for student workers, organizing executive innovation events, and contributing to the program's broader growth strategy. The goal is to enable student developers to build scalable solutions for public sector organizations, accelerating their cloud and AI journey. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services, focusing on helping enterprise customers migrate sensitive workloads to the cloud by addressing risk, regulatory, and compliance requirements. The role involves designing and implementing scalable security and compliance solutions, educating customers on AWS services, and contributing to the security assurance practice. While the role interacts with generative AI and security assurance services, its core function is not building AI models but rather ensuring customer compliance and security in the cloud environment. | — | 5 |
| Senior Product Manager - Technical, Seller Fees Science & Tech Senior Product Manager, Technical role focused on leveraging Generative AI to improve the experience of enabling fee changes for millions of sellers worldwide within Amazon's Selling Partner Services. The role involves envisioning and executing projects, engaging with stakeholders, managing roadmaps, and defining product requirements, with a focus on automating manual processes and enhancing seller experience. | — | 5 |
| Applied Scientist - Operations Research/Optimization, Sales Planning and Inventory Optimization Science This role focuses on applying Operations Research, Optimization, and Supply Chain principles, with an integration of Gen AI, to solve large-scale problems in inventory management, sales planning, and distribution for Amazon Devices. The scientist will design, develop, and deploy mathematical and simulation models, and work with cross-functional teams to optimize business operations and drive financial impact. | Ship | 5 |
| Software Development Engineer Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals. | Serve | 5 |
| Associate Assurance Solution Architect, AWS Security Assurance Services LLC This role is a customer-facing Assurance Solution Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves translating compliance needs into scalable solutions and demonstrating how AWS services can achieve these objectives. While the role mentions Generative AI and responsible AI practices for productivity augmentation, its core function is not AI/ML model development but rather applying security and compliance expertise to cloud architectures, including those that may utilize AI services. | — | 5 |
| US NatSec BD/Capture Manager - Intelligence Community, US NatSec Federal Strategic Pursuits This role is a Business Development/Capture Manager for AWS National Security, focusing on selling cloud services and advanced AI capabilities to the US Government. The primary responsibility is to develop and manage a pipeline of cloud-related opportunities, create bid strategies, and oversee proposal development for government contracts. While AI/ML and GenAI are mentioned as capabilities to be sold, the core function of the role is business development and sales within the enterprise AI domain, not direct AI/ML development. | — | 5 |
| Senior Financial Analyst, Amazon Advertising Senior Financial Analyst role supporting the finance team for Amazon Advertising's AI Core Infrastructure (ACI) organization, which builds foundational AI/ML infrastructure. Responsibilities include financial modeling, business opportunity evaluation, financial reporting, and cost optimization for inference infrastructure. Requires strong financial modeling, problem-solving, and communication skills, with experience in fast-paced and ambiguous environments. | — | 5 |
| Assurance Solutions Architect, AWS Security Assurance Services This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures. | — | 5 |