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 |
|---|---|---|
| Senior Applied Scientist, Alexa AI Senior Applied Scientist role focused on defining and driving the science roadmap for conversational AI systems using LLMs, impacting millions of customers. Responsibilities include designing LLM fine-tuning, alignment, and agentic architectures, owning end-to-end delivery from research to production, developing evaluation frameworks, and collaborating with cross-functional teams. The role involves publishing at top-tier conferences and generating intellectual property. | AgentPost-train | 9 |
| Sr. Applied Scientist, Alexa International The Senior Applied Scientist will focus on developing novel algorithms and modeling techniques for multilingual speech generation, text-to-speech synthesis, and speech-to-speech models within the Alexa International team. This role involves driving scientific strategy, influencing partner teams, and delivering solutions that enhance voice experiences across multiple languages, leveraging large-scale computing resources and addressing challenges in low-resource language settings. |
| Post-trainServe |
| 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Opportunity to design new algorithms and models, potentially publish work at top-tier conferences. | Ship | 7 |
| Program Manager, Alexa AI Program Manager for Alexa AI, focusing on driving cross-functional programs from machine learning research to customer-facing product delivery. The role involves managing the end-to-end lifecycle of initiatives, defining requirements, driving execution, and communicating progress and risks to senior leadership. It requires collaboration with engineers and scientists to ship features and improvements across languages, modalities, and devices. | Ship | 5 |
| Account Manager Account Manager role focused on growing complex brands on Amazon by owning strategic relationships with vendors, developing business plans, and leveraging data analytics and generative AI tools to identify growth opportunities. The role involves cross-functional leadership and driving performance across selection, operations, marketing, and commercial aspects. | — | 5 |
| Sr. Developer Advocate, Italy, AWS Developer Experience This role focuses on developer advocacy, guiding developers on how AI is changing software development, adopting AI-powered tools, and building on AWS. The advocate will create technical content, build community, and provide feedback to product teams. | — | 5 |
| Technical Account Manager, ES - EMEA - South This role is for a Technical Account Manager (TAM) within Amazon Web Services (AWS) Enterprise Support in EMEA. The TAM acts as a principal technical advisor and the 'voice of the customer' for organizations using AWS services. Responsibilities include crafting and executing strategies for AWS service adoption, providing strategic technical guidance, ensuring operational health of AWS environments, and building strong customer relationships to understand their needs and challenges. The role involves driving technical discussions, collaborating with various AWS teams, and proactively identifying opportunities for customers to gain value from AWS. It also includes providing reviews of service disruptions, planning, and helping customers migrate workloads. The TAM will also uplift customer capabilities through workshops and training sessions. This is not a sales role but a customer-facing technical advisory position. | — | 0 |
| Associate Account Manager Associate Account Manager (Brand Specialist) at Amazon AVS, responsible for owning brand relationships, developing short- and long-term growth strategies using data-driven insights, and driving customer satisfaction. This role involves analyzing business performance, managing operational excellence, planning marketing and advertising campaigns, and growing product selection. | — | 0 |
| Influencer Business Development Manager (Italian and English Speaker Needed) This role is for an Influencer Business Development Manager at Amazon, focusing on helping influencers monetize and scale their affiliate commerce content in Italy. The role involves strategic relationship management, sales performance analysis, creative collaboration, and program innovation, with a strong emphasis on data-driven insights and understanding the creator and marketing landscape. While the role mentions using generative AI tools for workflow efficiency, it is not the core craft. | — | 0 |
| Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning This role focuses on Business Intelligence Engineering within Amazon's delivery speed and long-term planning operations. The primary responsibilities involve advanced data analytics, metrics development, reporting, and data quality checks using SQL and BI tools to improve complex supply chain systems and influence roadmaps. While machine learning and data science are mentioned as areas of experience, the core function is data engineering and business intelligence to optimize logistics and delivery speed. | — | 0 |
| Data Scientist / Business Intel Engineer, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on business intelligence and analytics for the EU Prime and Marketing organization at Amazon. The primary responsibilities involve understanding customer behavior, designing and conducting experiments, and providing insights to improve customer engagement, sales, and marketing efficiency. The role requires strong data analysis, SQL, Python scripting, and data visualization skills, with a focus on building scalable and robust analytical solutions. | — | 0 |