Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1573 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1023 roles), Canada (59 roles), United Kingdom (47 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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. 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Associate Support Engineer, Region Services Associate Support Engineer role focused on technical support for AWS Region Services, involving troubleshooting, interacting with engineers, leveraging Linux experience, driving service team communication, and improving support processes. The role also involves writing technical articles, coaching new hires, and using internal AI systems for problem-solving. | — | 5 |
| Support Engineer, Region Services Support Engineer role focused on troubleshooting and resolving technical issues within AWS Region Services, leveraging Linux and distributed systems expertise. The role involves interacting with engineers, providing feedback on services, driving process improvements, and using internal AI systems for problem-solving. Requires experience with Linux, scripting, and distributed systems, with a preference for cloud computing and networking knowledge. A government security clearance is mandatory. | — | 5 |
| Professional Services Public Sector Presales Cloud Architect, AWS Professional Services ANZ AWS Professional Services Cloud Architect in Australia focused on Public Sector customers, specializing in pre-sales and solution design for Agentic AI and Generative AI. The role involves understanding customer requirements, architecting cloud solutions, developing proof-of-concepts, and acting as a trusted advisor on emerging technologies. | Agent | 5 |
| Support Engineer, Region Services Support Engineer role focused on Linux systems within AWS Region Services, involving troubleshooting, customer interaction, service improvement feedback, and using internal AI systems for problem-solving. The role emphasizes operational excellence and security within sensitive Australian government workloads. | — | 5 |
| Senior Finance Data Analyst This role is for a Senior Finance Data Analyst who will build reporting tools and dashboards for the Amazon Retail Finance team. The role involves automation, business intelligence, and integrating with AI/ML initiatives to improve financial analysis and reporting. While the role will interact with AI/ML tools and initiatives, its core function is data analysis and reporting within finance, not the direct development or research of AI models. | — | 5 |
| Senior Solutions Architect, Retail, Consumer Goods & Restaurants, AWS This role is for a Senior Solutions Architect at AWS, focusing on the Retail, Consumer Goods & Restaurants industries. The primary responsibility is to help customers understand and adopt AWS cloud solutions, driving business outcomes through architectural guidance, training, and strategic planning in partnership with sales teams. The role involves educating customers, building relationships, and acting as a technical liaison. | — | 1 |
| Account Executive, ANZ Public Sector Account Executive for AWS Public Sector in ANZ, responsible for driving growth, managing customer relationships, and achieving revenue targets by helping customers with cloud transformation involving AI, data, and analytics. | — | 0 |
| ACES Business Analyst, ACES BI and Analytics This Business Analyst role focuses on building models, tools, and systems for operational decision-making within Amazon's Australian network. Responsibilities include developing optimization models, automated dashboards, production tools, and ETL pipelines, and applying AI and automation to accelerate delivery. The role requires strong analytical skills, SQL, and experience with BI tools. | — | 0 |
| Business Development Specialist, Government Frameworks Business Development Specialist for AWS Government Frameworks in Australia and New Zealand, focusing on growing public sector revenue by leveraging and managing framework agreements, engaging senior government stakeholders, and enabling sales teams. | — | 0 |
| Sr Security Engineer, Region Services Senior Security Engineer for a national security cloud program in Australia. The role involves defining and embedding security across a portfolio of services, owning threat modeling, leading security initiatives like the Security Guardians program, architecting application security, and influencing security strategy. A key aspect is accelerating Generative AI proficiency among engineering teams and shaping how they think about security in an AI-augmented world. | — | 0 |
| APJ Senior Business Intelligence Engineer, Amazon Leo This role focuses on data analysis, building automated dashboards and reporting pipelines, and leveraging large datasets (including geo-spatial data) to support business decisions for the Amazon Leo consumer team. It requires strong SQL, scripting for automation (Python), and experience with AWS technologies. | — | 0 |
| Account Executive - Defence , Worldwide Public Sector Account Executive role focused on driving cloud adoption and revenue growth within the Australian defence sector, partnering with Defence Primes, agencies, and the Defence Industrial Base. The role involves positioning AWS as the primary cloud platform for transformational defence technology initiatives, including AI and ML, and helping customers develop their Digital Transformation and Sovereign Cloud strategies. | — | 0 |
| Associate Solutions Architect This role focuses on helping customers build infrastructures and applications at scale using AWS solutions. The Associate Solutions Architect will receive AWS technical training, learn cloud computing concepts, and develop business acumen. Responsibilities include understanding customer requirements, designing cloud architecture solutions, supporting pre-sales activities, and delivering technical presentations and workshops. | — | 0 |
| Senior Manager - Trade Compliance, APAC, Global Trade and Product Compliance Senior Manager for Trade Compliance in the APAC region for AWS Security, focusing on import/export regulations, process development, and stakeholder management. Requires extensive experience in customs and trade compliance within the APAC region and leveraging technology for process improvements. | — | 0 |
| Senior Delivery Practice Manager, AWS Professional Services This role manages a team of ProServe Delivery Consultants supporting AWS enterprise customers on transformative projects leveraging AWS technologies including Agentic AI, Generative AI, Application Modernisation, Data and Analytics. The DPM acts as a strategic advisor, builds and manages teams, drives business development, and ensures successful delivery of customer engagements on time and within budget. The role requires experience in consulting practice leadership, P&L responsibility, and translating technical concepts into business value. | — | 0 |
| Support Engineer, Region Services This role is a Support Engineer for AWS Region Services, focusing on Linux systems administration and troubleshooting in a secure cloud environment. While the role mentions using internal AI systems for problem-solving and diagnosis, the core responsibilities are centered around technical support, system administration, and operational excellence, not the direct development or deployment of AI models or agents. The role requires Australian citizenship and security clearance. | — | 0 |
| Senior Delivery Consultant: Application Modernisation, AWS Professional Services This role is for a Senior Delivery Consultant at AWS Professional Services, focusing on application modernization. The consultant will design, implement, and manage AWS solutions for customers, acting as a trusted advisor on cloud strategies and emerging technologies. The role involves collaborating with stakeholders, gathering requirements, proposing migration strategies, and ensuring successful project delivery. While the team touches on Generative AI, the core of this role is broad AWS solution delivery and customer consulting, not direct AI/ML model development or deployment. | — | 0 |
| Senior Delivery Consultant: Database Modernisation, AWS Professional Services This role is for a Senior Delivery Consultant focused on database modernization using AWS Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, provide technical guidance, gather requirements, propose migration strategies, and act as a trusted advisor on industry trends and emerging technologies. The role involves leading implementation processes, optimizing performance, and managing risks throughout the project lifecycle. It emphasizes customer success and leveraging AWS cloud services. | — | 0 |
