Currently tracking 1110 active AI roles, down 16% 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 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 |
|---|---|---|
| Computer Vision Scientist, International Machine Learning, Australia Computer Vision Scientist role focused on developing and evaluating generative AI models for e-commerce media content, leveraging large datasets and cloud resources. The role involves research, implementation of novel ML techniques, and communication with stakeholders. | Post-trainServe | 9 |
| 2027 Applied Science Intern (Computer Vision), Amazon International Machine Learning Internship role focused on Computer Vision and Machine Learning research, developing novel solutions and prototypes with potential impact on customer-facing products. Involves collaboration with researchers and publication in top-tier conferences. | Post-train |
| 8 |
| 2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning Internship role focused on developing novel solutions and prototypes in Deep Learning and Generative AI, with potential to deliver to production. Collaborates with R&D scientists and aims to publish research in top ML conferences. | Ship | 8 |
| 2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning Internship role focused on developing novel solutions and prototypes in Deep Learning and Generative AI, with potential to deliver to production. Collaborates with R&D scientists and aims to publish research in top ML conferences. | Ship | 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 |
| 2027 Applied Science Intern (Computer Vision), Amazon International Machine Learning Internship role focused on Computer Vision and Machine Learning research, developing novel solutions and prototypes with the potential for production impact. Collaboration with researchers and publication in top-tier conferences are key aspects. | Post-trainServe | 8 |
| 2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning Internship role focused on applying state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, and NLP algorithms to large datasets for customer-facing products at Amazon. Involves developing novel solutions, building prototypes, contributing to research, and potentially delivering solutions to production. Collaboration with experienced scientists and opportunities for publication in top conferences. | Ship | 8 |
| Senior AI/ML Consultant, AWS Professional Services Senior AI/ML Consultant role focused on helping enterprise customers develop and deploy ML and GenAI solutions using AWS services. Responsibilities include understanding business challenges, designing solutions, building and validating models, and collaborating with engineering teams for production deployment. | AgentServe | 8 |
| Data Scientist, Network Fabric Engineering Data Scientist role focused on defining and driving the data science strategy for network operations automation, including agentic systems. The role involves defining metrics, building risk and reliability models, and evaluating the performance of automation and AI systems to improve network availability. It emphasizes statistical rigor and evidence-based decision-making within a team of network and software engineers. | Eval GateAgent | 7 |
| Data Scientist, Network Fabric Engineering The Data Scientist will develop risk and reliability models for network availability using telemetry data, build operational analytics and dashboards, and design experiments to evaluate automation, including agentic systems. The role focuses on providing evidence for decisions, measuring outcomes of operational changes, and improving data quality for availability programs. | AgentEval Gate | 7 |
| Sr AI Solution Architect, AI Specialist Solutions Architect team Senior AI Solutions Architect for AWS, focusing on guiding enterprise customers in adopting and scaling GenAI/ML and Agentic technologies. The role involves building technical relationships, designing scalable architectures, providing technical leadership, and creating content like whitepapers and workshops. It requires hands-on experience with AWS AI services, implementing solutions including RAG, fine-tuning, inference, and agentic workflows, and a strong understanding of production AI systems. | AgentServe | 7 |
| Sr AI Solution Architect, AI Specialist Solutions Architect team This role is for a Sr. AI Solution Architect at AWS, focusing on helping customers adopt and scale GenAI/ML and Agentic technologies. The architect will build technical relationships, design 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 contributing reusable assets. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, deployment, distributed inference, and MLOps. | AgentServe | 7 |
| Pr. Delivery Consultant, AWS Professional Services Lead a landmark Agentic AI-powered application modernisation program for a large mining and resources company, transitioning GenAI prototypes to production. This role involves strategic leadership, executive stakeholder management, and orchestrating a cross-functional team to modernize a complex legacy platform using generative and agentic AI. | Agent | 7 |
| Delivery Consultant, AWS Professional Services Seeking a hands-on Senior Consultant with deep software engineering, Generative AI, and cloud architecture expertise to deliver complex technical consulting engagements within AWS Professional Services. The role involves designing and building end-to-end applications powered by Generative AI, including agentic development and AI-assisted software development. | Agent | 7 |
| Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services Senior Full-Stack Software Development Engineer role focused on building end-to-end Generative AI applications and agentic systems for AWS customers. The role involves designing, developing, and deploying cloud-native applications using AWS services, with a strong emphasis on AI-assisted software development and agentic architectures. | Agent | 7 |
| Delivery Consultant , AWS Professional Services Full-stack software engineer role focused on building end-to-end applications powered by Generative AI and AI agents using AWS services. The role involves designing, developing, and delivering cloud-native applications, with a strong emphasis on leveraging AI-assisted development tools and agentic workflows. | AgentServe | 7 |
| Senior AI/ML Consultant, AWS Professional Services Senior AI/ML Consultant for AWS Professional Services, focusing on developing and deploying ML and Generative AI solutions for enterprise customers. This role involves understanding customer business challenges, designing and building solutions using AWS ML services, collaborating with engineering teams, and providing technical sales support and training. | AgentServe | 7 |
| Senior AI/ML Solution Architect, ANZ Public Sector Senior AI/ML Solution Architect for AWS Public Sector in ANZ, focusing on driving AI/ML adoption and modernization for government and education customers. The role involves deep technical engagement across agentic AI, traditional AI/ML, and MLOps, partnering with sales specialists to achieve technical and sales outcomes. | AgentData | 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 |
| 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 |
| Senior AI Specialist Solutions Architect, AWS This role focuses on guiding enterprise customers in adopting and scaling GenAI/ML and Agentic technologies on AWS. The Specialist Solutions Architect will act as a trusted advisor, designing technical architectures, providing recommendations on various aspects of cloud services, and influencing the roadmap of AWS GenAI/ML and Agentic features. The role involves creating and sharing best practices, technical content, and reference architectures, as well as evangelizing AWS technology through various channels. | Agent | 7 |
| Senior Delivery Consultant: GenAI FullStack SDE, AWS Professional Services Senior Delivery Consultant (GenAI FullStack SDE) at AWS Professional Services, focusing on building end-to-end Generative AI applications for enterprise customers. The role involves full-stack development, designing and implementing AI agent architectures, and leveraging AI-powered development tools. The primary focus is on delivering solutions using AWS services, with a secondary emphasis on the underlying inference infrastructure. | AgentServe | 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 Generative AI, ML, and Agentic technologies. The architect will build technical relationships, provide architectural guidance, and translate customer needs into scalable solutions on AWS. Responsibilities include advising on security, cost, performance, and operational efficiency, contributing to AWS service roadmaps, and creating technical content like whitepapers and workshops. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and deploying LLMs. | AgentServe | 7 |
| Principal AI Solution Architect, Data & AI Specialist Solutions Architect team This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects. | AgentServe | 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 |
| Specialist SA, Developer Transformation This role focuses on helping developers adopt modern, cloud-native application development practices using AI-driven tools and AWS services. The Specialist SA will engage with developer communities, create technical content, and provide feedback to AWS product teams to accelerate the adoption of AWS cloud services and AI-native development approaches. | — | 5 |
| Senior Delivery Consultant: Data Analytics, AWS Professional Services Senior Delivery Consultant for AWS Professional Services specializing in Data Analytics and GenAI. The role involves collaborating with customers and partners to derive business value from Data Analytics and GenAI services, developing and delivering proof-of-concept projects, technical workshops, and supporting complex projects. Focus areas include batch and real-time data capture and analysis, driving data-driven decisions, and implementing solutions using various AWS data analytics and GenAI services. | Ship | 5 |
| Senior AI Sales Specialist Senior AI Sales Specialist role at AWS, focusing on driving revenue growth by partnering with customers to understand their needs, translate AI capabilities into business value, and guide them through AI adoption journeys. This involves building sales pipelines, advising on AWS AI services, and collaborating with internal teams and customers on AI use cases, including foundation models, LLMs, and agentic AI. | — | 5 |
| OpenSearch Specialist Solutions Architect, WWSO Data & AI, AWS This role focuses on being a technical advisor for Amazon OpenSearch, helping customers design and deploy search, analytics, and Generative AI solutions. The specialist will guide customers on integrating OpenSearch with GenAI workflows and accelerating their Generative AI deployments using OpenSearch as a vector store. The role involves architectural reviews, migration assessments, and creating technical enablement resources. | — | 5 |
| Account Executive - Education, ANZ Public Sector This role is for an Account Executive focused on selling AWS cloud services, including AI/ML solutions, to educational institutions in Australia. The primary responsibility is driving cloud adoption and revenue growth by building strategic relationships with customers and helping them implement digital transformation and AI innovation strategies. While AI/ML is a key component of the solutions offered, the role itself is sales-focused rather than directly building or researching AI models. | — | 5 |
| Senior Solutions Architect, AWS Global Sales, Energy & Utilities This role is for a Senior Solutions Architect at AWS, focusing on the Energy & Utilities sector. The primary responsibility is to work with customers to adopt AWS cloud and AI services, providing technical guidance, building solutions, and acting as a trusted advisor. The role involves creating technical content, evangelizing AWS technologies, and contributing to the growth of the Solutions Architecture organization. While AI/ML technologies are mentioned, the core function is customer-facing solution architecture and adoption, not direct AI/ML model development or research. | — | 5 |
| Principal AI Sales Specialist, Worldwide Public Sector, ANZ This role focuses on partnering with public sector customers to understand their goals, translate complex AI capabilities into business value, and support AI adoption. It involves sales cycles, account planning, and identifying AI use cases. While it mentions deploying LLMs, the core function is sales and product translation, not direct AI/ML model development. | — | 5 |
| Sr. Amazon Quick Strategist, Amazon Quick Customer Success Team, AWS This role focuses on driving customer success and adoption of Amazon Quick, a generative AI service within AWS. The strategist will architect and implement solutions, lead transformation programs, and work with customers from proof-of-concept to production. The role involves extensive customer interaction, strategic roadmap development, and hands-on building support, aiming to quantify value and drive ROI through AWS Gen AI services. | — | 5 |
| Sr. Delivery Practice Manager, AWS Professional Services Senior Delivery Practice Manager for AWS Professional Services, focusing on leading teams to deliver transformative projects for enterprise customers using AWS technologies including Agentic AI and Generative AI. The role involves strategic advisory, team management, business development, and ensuring successful project delivery within budget and on time. | — | 5 |
| Sr. Partner Solutions Architect, ANZ Partner Team This role is for a Senior Partner Solutions Architect at Amazon Web Services (AWS) in ANZ. The primary focus is on building technical relationships with strategic partners, advising them on cloud and AI adoption, designing scalable solutions on AWS, and driving the adoption of AWS services. The role involves technical leadership, influencing architectural decisions, and contributing thought leadership through various channels. While AI is mentioned as a domain of expertise, the core function is enabling partners to leverage AWS services, not directly building or shipping AI models. | — | 5 |
| Snr Startup Investor Manager, AWS Worldwide Startups This role focuses on identifying and working with early-stage startups and venture capital firms to accelerate their success on AWS. The Senior Startup Investment Manager will leverage deep technical understanding of cloud and emerging technologies, including generative AI, combined with business acumen to help startups build world-changing products on AWS infrastructure. | — | 5 |
| Prin. Analytics Specialist SA, Strategic Accounts, Data & AI Specialist SA Team Principal Solutions Architect (SA) for AWS Strategic Accounts, focusing on designing and implementing customer solutions leveraging AWS Analytics and AI services, including generative AI. The role involves direct customer engagement, providing architectural guidance, developing blueprints and content, and influencing GTM strategy and product direction. Key responsibilities include helping customers define their data strategy, generative AI strategy, and implement patterns like NLP pipelines and RAG. | Agent | 5 |
| Software Development Engineer, Public Sector Customer Engineering Software Development Engineer role focused on building prototypes and customer solutions using AWS services, including ML and data science, within the public sector. The role involves full software development lifecycle and collaboration with customers. | Ship | 5 |
| Account Executive - Education , ANZ Public Sector This role is for an Account Executive focused on selling AWS cloud services, including AI/ML solutions, to educational institutions in Australia. The primary responsibility is to drive cloud adoption and revenue growth by building strategic relationships with customers and helping them implement digital transformation and AI strategies using AWS. While AI/ML is mentioned as a key technology area, the core function of the role is sales and account management, not direct AI/ML development or research. | — | 5 |
| Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence Senior Customer Success Specialist focused on driving enterprise adoption of AWS's generative AI platform (Amazon Quick) and transforming business processes through AI. This role involves developing methodologies, enabling partners, and ensuring customers achieve measurable business value from AI. | — | 5 |
| Prin. Analytics Specialist SA, Strategic Accounts, AGS Data and AI Specialist Solutions Architect Principal Solutions Architect for AWS Strategic Accounts, focusing on designing and implementing AI and Analytics solutions for customers. This role involves deep customer engagement, architectural guidance, and influencing product roadmaps, with a strong emphasis on generative AI, data strategy, and adoption patterns. | Agent | 5 |
| Sr. OpenSearch Specialist Solutions Architect, WWSO Data & AI, AWS This role is for a Sr. OpenSearch Specialist Solutions Architect at AWS. The primary focus is on advising customers on designing and deploying scalable, secure, and performant search, analytics, and Generative AI solutions using Amazon OpenSearch. The role involves architectural reviews, migration assessments, and collaborating with product and sales teams to influence roadmaps and drive customer adoption. It also includes community building and creating enablement resources. | — | 5 |
| Software Development Engineer, Public Sector Customer Engineering Software Development Engineer role focused on building prototypes for public sector customers using AWS services, including AI/ML technologies. The role involves full software development lifecycle, customer collaboration, and hands-on work with various cloud and open-source technologies. | — | 5 |
| Senior Delivery Consultant: Modernisation, AWS Professional Services Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. The role involves providing technical expertise, guidance on industry trends, and leading project delivery to ensure customer success in their cloud journey. While AI tools for development productivity are mentioned, the core function is cloud solution delivery and customer consulting, not direct AI/ML model development. | — | 5 |
| Associate Support Engineer, Region Services Associate Support Engineer role focused on technical support for AWS Region Services, involving troubleshooting, issue resolution, and leveraging Linux and cloud expertise. The role uses internal AI systems for problem-solving and diagnosis, and contributes to service improvement and documentation. | — | 5 |
| Support Engineer This role is a Support Engineer for AWS Region Services, focusing on Linux technical support within a secure cloud environment. The role involves troubleshooting customer issues, interacting with engineering teams, driving process improvements, and writing technical documentation. While the role uses internal AI systems for problem-solving, its core function is technical support and system administration, not AI/ML development. | — | 5 |
| Support Engineer, Region Services Support Engineer role focused on Linux systems administration, troubleshooting, and operational support within AWS Region Services. The role involves interacting with engineers, leveraging Linux and technical experience, driving service team communication, and improving support processes. It also includes writing technical articles, coaching new hires, and developing tools. A key aspect is using internal AI systems for problem-solving and diagnosis, but the core function is technical support and operational excellence in a secure cloud environment. | — | 5 |
| Snr Startup Investor Manager, AWS Worldwide Startups This role focuses on working with early-stage startups and venture capital firms to accelerate their success on AWS, leveraging deep technical understanding of cloud and emerging technologies like generative AI. The Senior Startup Investment Manager will identify opportunities, develop initiatives, and ensure startups have the necessary support to build products on AWS infrastructure. | — | 5 |
| Senior AI Sales Specialist Senior AI Sales Specialist role at Amazon Web Services (AWS) focused on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support AI adoption at scale. The role involves building sales pipelines, advising on AWS AI services, leading technical discovery sessions, and guiding customers through AI adoption journeys. | — | 5 |