Currently tracking 1088 active AI roles, with 1262 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 1550 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 (996 roles), Canada (60 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 706 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Delivery Consultant - AI/ML, AWS ProServe This role is for a Sr. Delivery Consultant focused on AI/ML solutions within AWS Professional Services. The consultant will design, implement, and manage AWS solutions for customers, providing technical expertise and guidance throughout the project lifecycle. Key responsibilities include architecting scalable solutions, gathering requirements, proposing migration strategies, acting as a trusted advisor, and sharing knowledge internally. The role requires significant experience in building large-scale ML and AI solutions. | Ship | 5 |
| Software Development Engineer, Conversational Ads Experience Software Development Engineer role focused on building conversational ad experiences powered by LLMs within Amazon Ads. The role involves driving product and engineering initiatives, designing and operating customer-facing functionality, and partnering with scientists to integrate sponsored prompt experiences. It emphasizes large-scale, low-latency distributed systems and aims to revolutionize advertising through generative AI. |
| Agent |
| 5 |
| Snr. Solutions Architect, Alexa India This role is for a Senior Solutions Architect at Amazon's Alexa India team, focusing on driving the adoption of Generative AI integrations with Tier 1 partners. The architect will act as a technical leader, providing consultation, developing architectural frameworks, and establishing best practices. The role involves deep technical engagement with partners, influencing product roadmaps, and accelerating the use of Alexa's capabilities to create innovative customer experiences. While the role involves Generative AI, the primary focus is on solution architecture, adoption, and partner engagement rather than core AI/ML model development. | — | 5 |
| Business Intelligence Engineer, Alexa Enterprise Data The Business Intelligence Engineer will be responsible for defining metrics and KPIs, deep-diving into data sets, and building automated reporting solutions for Alexa Enterprise. This role requires strong SQL, ETL, and data wrangling skills, along with excellent communication and stakeholder management abilities. | — | 5 |
| Principal Product Manager-Technical, AME Search Marketing The Principal Product Manager-Technical for Search Marketing at Amazon will lead the development and execution of paid and organic digital marketing strategies, focusing on driving web traffic and maximizing channel revenue. This role involves deep analysis of search marketing channels (SEO/SEM), running A/B experiments, and translating insights into product proposals and optimizations. The position requires a strong analytical and technical mindset, comfort with ambiguity, and the ability to influence stakeholders. The team builds AI-powered systems to automate processes at scale, optimizing customer acquisition through search-based experiences. | — | 5 |
| Software Development Engineer, Data Platform, Prime Video Personalization & Discovery Software Development Engineer role focused on building and scaling the data and ML infrastructure for Prime Video's personalization and discovery features. This involves designing and developing big data pipelines and platform solutions to support recommendation systems and customer experiences. | — | 5 |
| Principal TPM, Search This role is for a Principal TPM on the Amazon Search team, focusing on leveraging advanced ML algorithms for search and recommendation problems to enhance the customer shopping experience. The TPM will drive end-to-end program delivery, partner with technical and business stakeholders, and define KPIs to measure success. The role emphasizes a customer-centric approach, innovative thinking, and collaboration across science, engineering, product, and UX design teams. | Ship | 5 |
| Software Development Manager, Selling Partner Financial Tech Software Development Manager to lead the Vendor Funding team in building GenAI-powered solutions for Amazon Retail's financial systems, focusing on vendor agreements and profitability. | Ship | 5 |
| FR Annotations Auditor, Community Feedback Annotation Team This role involves evaluating annotated datasets for natural language processing models, ensuring accuracy and consistency. It focuses on data quality for training generative AI. | Data | 5 |
| Software Development Engineer This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that supports 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. The role is crucial for enabling massive AI training runs and other demanding cloud workloads. | — | 5 |
| Senior Software Development Engineer, AWS EC2 Nitro Team Senior Software Development Engineer on the AWS EC2 Nitro team, focusing on building and optimizing the foundation of cloud computing infrastructure for high-performance AI/ML training and inference workloads. The role involves working across the full technology stack, from hardware to software, to solve complex performance optimization problems at massive scale. | Serve | 5 |
| Sr Product Manager, GenAI Knowledge Manager, JP Seller Service This role is for a Senior Product Manager focused on GenAI Knowledge Management for JP Seller Service. The primary responsibility is to design and build a Knowledge Governance Framework from scratch, own the configuration and maintenance of an AI-powered knowledge platform, and improve how knowledge assets are collected, organized, shared, and applied to enhance AI tool value. The role involves bridging local business needs with a global product team and influencing the central product roadmap. It aims to solve problems of knowledge hoarding and scattered information by building systems, culture, and incentives that turn individual knowledge into a shared organizational asset. | Agent | 5 |
| Product Manager-Tech III, Finance Automation This role is for a Senior Product Manager-Tech on the Finance Automation team, focusing on end-to-end ownership of the customer experience, from product vision to launch. The role involves defining product roadmaps, engaging with technical and non-technical stakeholders, and contributing to technical discussions. While not core AI/ML development, it requires understanding ML/LLM fundamentals and experience with deploying LLMs in production. | — | 5 |
| Sr. Specialist Solutions Architect - HPC / ML, AWS WWSO EMEA, Advanced Compute The Sr. Specialist Solutions Architect will work with customers to design and implement cloud-based solutions, focusing on High Performance Computing (HPC) and Machine Learning (ML) workloads on AWS. This role involves providing technical expertise, thought leadership, and guidance on best practices for leveraging AWS services to solve complex customer challenges. | — | 5 |
| Sr. GTM Specialist AI Infrastructure - Israel, WWSO EMEA Advanced Compute This role is for a Sr. GTM Specialist for AI Infrastructure within AWS, focusing on the Israeli market. The individual will lead the go-to-market strategy, drive revenue growth, and build customer relationships with AI companies, from foundation model builders to enterprises deploying training and inference workloads. The role involves working with EC2 accelerated compute, EKS for AI, and SageMaker for AI workloads, and collaborating with partners like NVIDIA and open-weight model providers. The primary focus is on the business development and sales strategy for AI infrastructure, not on building or researching AI models directly. | — | 5 |
| Principal GenAI GTM Specialist, WWSO This role is a Principal GenAI GTM Specialist for AWS in EMEA, focused on driving enterprise adoption of Generative AI services like Amazon Bedrock. The specialist will develop and execute go-to-market strategies, translate technical capabilities into business outcomes, build transformation roadmaps, and engage with CxO/VP level stakeholders as well as practitioners. The role involves creating scaled GTM programs, providing thought leadership, synthesizing customer feedback for product roadmaps, and influencing marketing efforts. It requires deep technical proficiency in GenAI, ability to land AI/ML transformation programs, and a blend of technical depth and commercial acumen. | — | 5 |
| AI Data Associate with French, Artificial General Intelligence – Data Services The role involves foundational labeling functions for AI, including dialogue evaluation on speech, text, audio, video data, and delivering high-quality labeled data using in-house tools. It requires analyzing root causes, identifying error patterns, and proposing solutions to enhance labeling quality, as well as identifying and suggesting changes for operational issues. | Data | 5 |
| Director, Consumer Research – Creative & Marketing Research Director of Consumer Research for Creative & Marketing at Audible. Leads creative ad testing, shapes messaging strategy, and partners with Marketing and Creative teams. Explores and integrates AI and emerging technologies into research tools for creative analysis and effectiveness. Focuses on optimizing campaigns and understanding consumer resonance. | — | 5 |
| Sr Mgr, Solutions Architecture, Small and Medium Businesses Lead a team of Solutions Architects focused on helping SMB customers adopt cloud and generative AI solutions. This role involves coaching, driving adoption, shaping product strategy through field insights, and producing thought leadership. The primary focus is on customer success and driving measurable adoption of AWS services within the SMB segment. | — | 5 |
| Sr Mgr, Solutions Architecture, AGS TMEGS Games This role is for a Senior Manager of Solutions Architecture within AWS Global Sales, focusing on the Games vertical. The primary responsibility is to lead a team of Solutions Architects, build customer relationships, and drive the adoption of AWS services by crafting scalable cloud architectures. The role involves partnering with sales teams to achieve revenue growth and acting as a trusted advisor to customers, helping them understand best practices for cloud solutions, including generative AI applications in game development. The position requires strategic thinking, deep technical knowledge of cloud infrastructure, and familiarity with the demands of the games industry, such as always-on services and unpredictable scale. The role also involves hiring, developing, and managing technical teams, and contributing to AWS publications. | — | 5 |
| Senior Startup Investor Manager, VC, AWS, Startups Investors Management Senior Manager role focused on working with early-stage startups and venture capital firms to accelerate their success on AWS, leveraging cloud computing and emerging technologies like generative AI. The role involves identifying opportunities, providing technical and business guidance, and supporting initiatives between the investment community and AWS. | — | 5 |
| Sr. Security Services SA, AWS Industries - Customer Acceleration Team - Security Specialists This role is for a Senior Security Services Solutions Architect within AWS Industries, focusing on accelerating enterprise customer adoption of AWS security services. The role involves acting as a long-term security architect for large enterprise customers, designing solutions across various security domains, and driving the adoption of AWS security services. A key aspect is helping customers secure their generative AI and agentic AI workloads by architecting appropriate security controls. The role also involves translating field patterns into product feedback to shape the roadmap and publishing reusable assets. It's a founding role in a new team, focused on scaling the function. | — | 5 |
| Sr. Partner Development Manager, WWPS, PARTNERS-PS This role is a Senior Partner Development Manager for AWS's Worldwide Public Sector (WWPS) division, focused on managing and growing relationships with a leading frontier AI model provider. The primary responsibility (80%) is to drive joint go-to-market strategies, accelerate the adoption of AI capabilities (foundation models, agentic AI, multimodal reasoning) in public sector environments, and grow co-sell pipeline and revenue. The role also involves supporting a portfolio of other strategic WWPS ISV partners (20%). Key aspects include navigating public sector compliance, building executive relationships, and ensuring partner models are integrated with AWS services. The role is product-focused as it drives the adoption and commercialization of AI solutions. | — | 5 |
| Sr. Security Services SA, AWS Industries - Customer Acceleration Team - Security Specialists This role is for a Senior Security Services Solutions Architect within AWS Industries, focusing on accelerating enterprise customer adoption of AWS security services. The role involves serving as a long-term security architect, engaging with CISOs, driving adoption of AWS security services, and helping customers secure generative AI and agentic AI workloads. The architect will also translate field patterns into product feedback and help shape the roadmap for a newly formed team. | — | 5 |
| Sr. Technical Program Manager, Amazon Rufus Sr. Technical Program Manager to drive the delivery of generative AI-powered shopping assistant experiences used by millions of Amazon customers. This role coordinates across science, engineering, product, and design to ship novel customer experiences at Amazon scale, owning end-to-end program delivery of conversational customer experiences and the platforms that bring Rufus to life. | Ship | 5 |
| Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team This role focuses on ensuring the quality of Alexa+'s multilingual experience by driving quality across various modalities (text, voice, visual). It involves architecting AI-powered evaluation frameworks, building agentic automation tooling for test generation and evaluation, and performing manual and automated testing. The role requires fluency in one or more European languages and emphasizes quality across speech, visual, conversational, cultural, and linguistic dimensions. | Eval GateAgent | 5 |
| Software Development Engineer in Test, Alexa Global Quality - India This role focuses on building and evolving agentic automation tooling for end-to-end quality evaluation of Alexa's multi-locale experience. It involves creating scalable, AI-powered solutions for validation across speech, visual, conversational quality, and cultural/linguistic dimensions, including synthetic test generation and LLM-as-a-Judge evaluations. | Eval GateAgent | 5 |
| Data Engineer II, Perfect Order Experience This role focuses on building and maintaining data engineering platforms, data pipelines, and data clusters to support analytics and business needs within Amazon's Perfect Order Experience team. It involves working with large datasets, AWS technologies, and collaborating with engineering and science teams to implement analytics algorithms. The goal is to provide buyers with a perfect order experience by leveraging data and AI to detect and prevent risk. | — | 5 |
| Program Manager, Trust & Safety, Prime Video, Prime Video Trust & Safety This role owns the end-to-end prompt lifecycle for content classification automation systems using LLMs. It involves translating policy into precise prompts, rigorous testing, and deploying changes to production, balancing precision and recall to optimize classification quality. The role requires influencing cross-functional teams and managing program governance for prompt changes. | Agent | 5 |
| Sr. Sales Operations Lead, ASP Sales Operations--Data & AI Pillar This role is for a Sr. Sales Operations Lead within AWS, focusing on the Data and AI Pillar. The primary responsibility is to drive data-driven decision-making and operational excellence for sales initiatives by translating complex data into actionable insights. The role involves managing sales processes, systems, and metrics, including territories, quota, forecasting, and business reviews, to support revenue growth and customer acquisition. It also involves leveraging AI/ML technologies to enhance sales processes and decision-making, and orchestrating AI-human collaboration in the sales process. | — | 5 |
| Software Devlopment Engineer, FinTech Account Receivables Cash Applications Software Development Engineer role focused on building AI-based Financial systems for Amazon's FinTech Account Receivables Cash Applications, involving integration with ML and Generative AI models on AWS. | Ship | 5 |
| Consultant, AWS Professional Services, Agentic Delivery Acceleration This role focuses on designing and developing user interfaces and workflow automation solutions for agentic AI products within AWS Professional Services. The goal is to accelerate customer adoption, reduce risk, and enhance experiences by leveraging AI to streamline business processes and improve operational efficiency. | Agent | 5 |
| Principal Customer Solutions Manager, Global Financial Services (GFS), AWS This role is a Principal Customer Solutions Manager for AWS Global Financial Services in Japan. The primary focus is to lead cloud transformation strategies for major financial institutions, including driving AI/ML and Generative AI adoption from proof-of-concept to production. The role involves engaging with C-suite executives, managing complex programs across geographies and regulatory environments, and delivering measurable business outcomes. It is a customer-facing, strategic, and program management-oriented position within the fintech domain, operating at a scaling maturity level for AI adoption. | — | 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 |
| Software Development Engineer, AWS Kumo Health Experience Software Development Engineer role within AWS Kumo Health Experience team, focusing on scaling AWS support capabilities. The team uses machine learning to understand customer behavior, predict intent, personalize content, and automate issue resolution via chatbots. The role involves contributing to a complete vertical stack of an SOA-based system, using various technologies including Kotlin, Java, JavaScript, React, Node, Elastic Search, and native AWS services. | — | 5 |
| Software Development Engineer - Testing Infrastructure & Performance, Trainium/Neuron, Annapurna Labs Software Development Engineer to own and evolve the testing infrastructure and performance pipeline that validates Neuron software across workloads, models, and hardware configurations. Build data pipelines that collect, process, and surface performance metrics and dashboards for visibility into regression detection, performance trends, and release readiness. | Serve | 5 |
| Sr. Solutions Architect, Media, Entertainment, Games & Sports (MEGS) This role is for a Sr. Solutions Architect within AWS MEGS, partnering with large entertainment companies to design and build cloud-based solutions. The role involves advising on architecture, building prototypes, and identifying/advancing generative AI and ML use cases from exploration to production. While AI/ML is a component, the core focus is on broader cloud solutions and customer engagement across various media and entertainment workloads. | — | 5 |
| Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation This role is for a Senior Business Intelligence Engineer focused on Sales Planning & Compensation within AWS SMGS. The primary responsibilities involve working with large datasets, writing SQL queries, building data models with Python, and partnering with business owners to integrate ML and generative AI into scaling programs. The role requires strong analytical and statistical rigor to drive business decisions and communicate complex results. While the role mentions integrating ML and generative AI, its core function is BI engineering and data analysis, not direct AI/ML model development. | — | 5 |
| Senior Customer Solutions Manager , WWPS HCLS This role focuses on guiding technically advanced initiatives for Amazon Web Services (AWS) within the Healthcare & Life Sciences (HCLS) sector. The Senior Customer Solutions Manager will act as a strategic partner to life sciences customers, helping them accelerate their cloud and AI transformation journeys to achieve sustained business value. The role involves working with C-level executives and technical leaders to align AWS investments with business priorities, drive AI adoption, and ensure customers maximize the potential of AWS services. Responsibilities include designing and executing end-to-end cloud adoption experiences, managing complex programs, orchestrating cross-functional teams, and understanding Life Sciences regulatory requirements. | — | 5 |
| Quality Auditor - German Speaker, AGI Data Services - Ground Truth Quality This role focuses on quality assurance for AI data services, involving manual review and validation of data quality for AI development and training. The Quality Auditor will conduct audits, coach data associates, identify root causes of issues, and ensure compliance with quality standards. Experience in ML/Data Labeling operations and data annotation metrics is required. | Data | 5 |
| Sr. Solutions Architect , WWPS - HCLS - Medical Technology Solutions Architect role focused on designing and implementing AWS cloud solutions for Healthcare & Life Sciences customers, with a significant emphasis on AI/ML and Generative AI use cases, including prototyping and architectural guidance. | Agent | 5 |
| High-Speed Interface Validation Engineer, Post Silicon Validation This role validates high-speed interfaces (HBM, PCIe, UCIe, SerDes) for AWS's next-generation ML accelerators, focusing on link integrity, performance, and reliability at electrical and protocol layers. Responsibilities include electrical characterization, protocol compliance testing, stress testing, and debugging link failures using lab instrumentation. The role operates in a fast-paced environment, collaborating with design teams to ensure the scalability and quality of custom silicon for AI/ML workloads. | — | 5 |
| Sr. Business Intelligence Engineer, B2C, Amazon Leo This role focuses on building the analytics and data foundations for Amazon Leo's global marketing engine. The Business Intelligence Engineer will design and build datasets, dashboards, and pipelines to measure customer behavior, marketing effectiveness, and growth. Responsibilities include architecting data foundations, developing SQL transformations and data models, managing dashboards, conducting deep-dive analysis, and driving alignment on KPIs and data governance. | — | 5 |
| Front-End Engineer II, Amazon Quick, Amazon Quick Front-End Engineer II for Amazon Quick, a generative AI-powered assistant, focusing on designing and delivering scalable front-end capabilities for web and mobile platforms to enhance AI-powered user experiences. | — | 5 |
| Senior delivery consultant – GenAI This role focuses on designing, implementing, and managing AWS AI/ML solutions for customers, acting as a trusted advisor and leveraging expertise in cloud architecture, machine learning algorithms, deep learning frameworks, and AI/ML service architecture. The consultant will guide customers through their cloud journey, focusing on the deployment and optimization of AI/ML services. | Serve | 5 |
| Sr. Program Manager, Business Development Operations, Selling Partner API This role is for a Sr. Program Manager within Amazon's Selling Partner Services (SPS) Business Development team, focusing on API products. The position involves managing the full lifecycle of API products, from concept to market adoption, and acting as a liaison between strategy and execution. Responsibilities include GTM readiness, launch operations, maintaining business rhythms, managing the engagement portfolio, and overseeing domain team offboarding. While the role mentions leveraging generative AI tools and integrating AI solutions, its core function is program management and operational oversight of API products, not direct AI/ML development or research. | — | 5 |
| Manager II, ML Data Operations, Global Operations Artificial Intelligence, Amazon Robotics Manager II, ML Data Operations at Amazon Robotics, leading large-scale ML data annotation and operational delivery teams. Responsible for operational excellence, people leadership, stakeholder management, quality governance, workforce planning, process optimization, and business continuity across AI/ML programs supporting Amazon Robotics and Fulfilment Technologies. | Data | 5 |
| Sr. HR Business Partner This role is for a Senior HR Business Partner supporting NA Stores teams in India and emerging business verticals. The primary focus is on strategic people and organizational strategy to drive business outcomes. Responsibilities include organizational effectiveness, senior leader coaching, change management, talent planning, and HR functional excellence. The role requires adopting AI tools to enhance HR effectiveness, streamline processes, and improve data-driven decision-making. | — | 5 |
| OPM, AI&Automation, Accessories Operations team This role is for an Operations Program Manager (OPM) who will focus on enhancing traditional program management with AI and automation. The individual will champion the adoption of AI tools, act as a liaison between operations and technical teams, identify opportunities for AI/automation, manage the rollout and adoption of new capabilities, and prioritize initiatives. The role requires an understanding of AI/ML concepts and the ability to translate business needs into technical requirements, but not to build models directly. The primary focus is on applying existing AI tools to improve operational efficiency and scalability within an enterprise context. | — | 5 |
| Software Development Engineer-II (SDE 2), WWRR Tech - UTR Software Development Engineer II role focused on building and delivering massively scalable, distributed real-time systems for Amazon's Worldwide Returns & ReCommerce (WW R&R) organization. The team aims to achieve zero cost of returns, zero waste, and zero defects by developing products and driving operational excellence in the circular economy. While the role involves training machine learning models, the primary focus is on software engineering for these systems, not core AI/ML model development or research. | — | 5 |