Amazon

Senior Product Manager for Amazon Business India, focusing on new customer acquisition and traffic. The role involves defining product strategy and roadmap, leveraging ML and Generative AI for targeting, personalization, and conversational experiences. It also includes building verification systems and a cross-store shopping experience, requiring close collaboration with engineering, science, and marketing teams.

Applied Scientist II role focused on building and deploying Generative AI and Machine Learning solutions for Amazon Private Brands' product assortment, pricing, and merchandising. The role involves adapting state-of-the-art research, inventing novel solutions, developing prototypes, and implementing production software, with a focus on agentic AI and large language models. Responsibilities include partnering with business stakeholders, adapting ML solutions, inventing and deploying novel science solutions, reviewing team's work, and publishing research.

Senior Software Development Engineer for Amazon Robotics' Vulcan program, focusing on motion behaviors for robotic manipulation. The role involves designing and building software infrastructure, observability tools, and ML training/deployment pipelines for production robot systems. It sits at the intersection of robotics, ML systems, and production engineering, requiring experience in C++, Python, and building reliable, scalable systems in complex real-time domains.

Applied Science Manager to lead a team focused on understanding and optimizing how advertising creates value for shoppers and selling partners, particularly as the shopping experience evolves towards agentic commerce. The role involves leading research, designing experiments, developing optimization algorithms, and translating research into production systems, with a strong emphasis on causal inference, economic modeling, and applied ML.

The Customer Solutions Manager (CSM) for AWS's Aerospace & Satellite team advises aerospace and satellite organizations on cloud adoption and AI transformation. The role involves guiding customers through multi-year cloud adoption, migration, modernization, and AI transformation initiatives, focusing on deploying agentic AI workflows, building generative AI assistants, modernizing telemetry and command platforms, and accelerating launch readiness with intelligent automation. The CSM acts as a trusted advisor and central connector between customers and AWS teams, driving execution and identifying opportunities for AI/ML capabilities in space data processing and autonomous operations.

Software Development Engineer II on the 3P Seller Tools and Gen AI Solutions team, building internal tools and external solutions powered by cloud computing and generative AI for 3P Sellers. The role focuses on agentic AI and distributed systems, creating new products and services from the ground up.

This role focuses on developing AI/ML products and scalable analytics applications for operations optimization. Key responsibilities include AI Agent development for data analytics, applying statistical and ML techniques, developing science-based Supply Chain solutions, and working with LLMs to automate processes. The role involves creating and maintaining data infrastructure for advanced analytics and ML solutions, with a focus on optimizing operations across various global regions.

This role focuses on developing and enhancing mathematical optimization models for supply chain planning, specifically for Amazon's North American network. It involves building intelligent agents using Agentic and Generative AI to automate planning workflows, make model outputs interpretable, and run network simulations. The role also includes collaborating with software engineering to productionalize models on AWS infrastructure and designing metrics for performance evaluation.

Software Development Engineer role focused on building and improving automated, algorithmic solutions using machine learning, computer vision, and robotics to prevent, detect, and correct inventory issues in Amazon's fulfillment centers. The role involves building new software services and tools, designing production systems, and working with research scientists on next-generation intelligent systems.

Software Development Engineer role focused on applying Generative AI and Large Language Models to enhance advertising experiences on Amazon's shopping surfaces at massive scale. The role involves designing, developing, and operating large-scale distributed systems, optimizing data pipelines, and collaborating with scientists and product managers to deliver personalized, context-aware advertising solutions.

Senior Prototyping Architect for a new AGS Security Engineering team focused on building secure solutions and prototypes for customers adopting generative AI and agentic architectures. The role involves hands-on building of security capabilities, developing secure reference patterns, and enabling the broader field to build securely. It emphasizes working with emerging technologies and evolving secure engagement practices.

Applied Scientist II role focused on building machine learning models and algorithms for the Last Mile delivery experience, involving mapping, location, sensor data pattern detection, and computer vision. The role requires driving designs from ideation to production, with an emphasis on building v1 products autonomously.

Senior Business Intelligence Engineer to build AI-native data products for Amazon Devices, architecting semantic and contextual layers for AI agents to reason over business data. Responsibilities include data pipelines, MCP servers, semantic layers for AI agents, AI-powered automation for business workflows, and evaluating/integrating emerging AI/ML capabilities.

Senior ProServe Cloud Architect for Healthcare and Life Sciences at AWS, focusing on designing and implementing AI and cloud solutions for pharmaceutical customers. The role involves translating business objectives into technical solutions, guiding customers on industry trends and agentic AI, and collaborating with internal AWS teams to drive innovation and successful solution implementations.

This role is for a Sr. Manager of Software Development focused on building and delivering next-generation agentic AI technologies within Amazon's Devices organization. The role involves leading a team to create intelligent, scalable systems that unify enterprise tools and streamline data-driven decision-making, bringing AI-powered efficiency to the engineering ecosystem. The focus is on building and launching new AI services from the ground up, with a strong emphasis on agentic AI and its application in hardware engineering.

This role focuses on applying Generative AI, ML, and NLP to enhance customer service experiences within Amazon. The Applied Scientist will own the definition and implementation of AI-driven innovations, transforming business requirements into technology solutions. Key responsibilities include developing novel algorithms, analyzing data for insights, and collaborating with cross-functional teams to integrate models into production systems.

Software Development Engineer II role focused on building AI-powered learning solutions and content creation tools using generative AI and an agentic AI framework for Amazon's talent development ecosystem.

Software Development Engineer role focused on building and improving automated, algorithmic solutions using machine learning, computer vision, and robotics to prevent, detect, and correct inventory issues in Amazon's fulfillment centers. The role involves building new software services and tools, designing production systems, and working with research scientists on next-generation intelligent systems.

This role is for a Data and AI Cloud Architect on the AWS Professional Services team in Taiwan, focusing on the manufacturing and semiconductor industries. The architect will design and implement modern data platforms, analytics solutions, and AI/ML workloads on AWS, acting as a trusted technical advisor to enterprise customers. Key responsibilities include leading architecture design, building end-to-end data architectures, architecting AI/ML solutions using AWS services like SageMaker and Bedrock for industry-specific use cases, collaborating with stakeholders on data strategies, mentoring junior consultants, and developing reusable assets. The role also involves partnering with AWS teams, contributing to thought leadership, and staying current with data engineering, analytics, and generative AI trends. Basic qualifications include experience conveying technical concepts, a relevant degree or equivalent experience, 8+ years in data/cloud architecture with 5+ years on AWS, deep expertise in data platform technologies (Python, SQL, Spark, Scala), and fluency in Mandarin and English. Preferred qualifications include experience with large-scale transformation programs, domain expertise in manufacturing/semiconductor industries, knowledge of Industry 4.0, experience with generative AI architectures (RAG, fine-tuning, agents), and familiarity with Taiwan's data privacy regulations.

Product Manager for AWS FinOps Agent, focusing on building agentic workflows and defining the strategy for generative AI in cloud financial management. The role involves understanding customer needs, defining product vision, and collaborating with engineering and applied science teams to deliver autonomous FinOps experiences.

This role focuses on building the next generation of software verification tools by combining advances in AI, cloud computing, and formal verification techniques. The Principal Applied Scientist will define roadmaps, lead delivery of AI solutions, identify and implement new analysis capabilities, and explore generative AI for tasks like requirement formalization, test generation, and proof repair. The role involves using a combination of traditional formal methods and generative AI to solve complex code analysis problems.

Senior Product Manager for Alexa Canada, focusing on expanding Alexa's presence in the Canadian market. This role involves defining user needs, creating product roadmaps, understanding market dynamics (including emerging AI/ML), developing requirements, leading cross-functional teams, owning the customer experience, tracking launches, managing trade-offs, monitoring performance, and working closely with engineering. The role requires technical depth to evaluate AI model behavior and technical approaches, and a proactive exploration of new AI capabilities like large language models and agentic AI.

Principal Product Manager, Technical for Amazon Music's Agent Experience and Music Intelligence. This role defines the strategic vision for AI-powered music experiences across all Amazon Music product surfaces, focusing on cross-platform strategy, intelligence layer utilization, and emerging technologies like generative AI. The PM will influence senior leadership, partner across organizations, and translate complex technical capabilities into customer-facing product strategies with clear business cases.

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.

Customer Engineer focused on building Agentic AI and multi-modal Generative AI applications and workflows for financial services customers on AWS. This role involves creating end-to-end solutions, prototypes, and modern data applications, with a strong emphasis on hands-on development with AWS AI services.

Principal Product Manager - Tech for Sponsored Products and Brands, focusing on advertiser-facing Gen AI products and conversational commerce. The role involves defining product vision, rethinking campaign management using LLMs, and collaborating with various teams to deliver intelligent, adaptive experiences. It requires deep Ad Tech expertise and the ability to influence across organizational boundaries.

This role focuses on building and delivering Generative AI solutions for customer-facing business problems using AWS services and open-source technology. Responsibilities include designing, developing, and evaluating solutions like RAG, multi-agent systems, and model fine-tuning, as well as providing guidance and creating best practices for customers. The role also involves analyzing data to optimize processes and identify investment opportunities.

Software Development Engineer II role focused on building the backend services for an AI-powered conversational agent (Amazon Marketing Cloud Assistant) that allows advertisers to interact with data using natural language. The role involves designing and building scalable data pipelines, LLM orchestration, prompt engineering, tool use, agent workflows, and contributing to the evaluation framework for agent accuracy. It operates at the intersection of LLMs, distributed systems, and large-scale advertising data.

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.

Software Development Engineer II (SDE II) for Amazon Robotics Scanless Tech team, focusing on developing and deploying machine learning and computer vision based software technologies for robotics applications. The role involves building edge and cloud CV applications, leveraging AWS ML, optimizing fulfillment infrastructure, and partnering with Applied Scientists to develop ML applications. The team's solutions are core to the business and deployed at scale.

Data Scientist I role focused on developing and delivering core data science capabilities for AI-enabled operations, leveraging LLMs, Generative AI, and predictive analytics to solve complex operational problems within Amazon's global footprint. The role involves assessing solution approaches, designing extensible solutions, owning end-to-end data science projects, collaborating with cross-functional teams, and contributing to AI strategy and investment priorities.

Software Development Engineer role focused on building and operating agentic AI solutions for security monitoring of relational databases (Aurora and RDS) at massive scale. The role involves capturing and analyzing security telemetry to identify and mitigate threats, requiring strong distributed systems engineering skills and operational excellence.

This Applied Scientist role focuses on building and deploying AI/ML models and LLM-powered systems for Amazon's North America Stores. The role involves developing workflows that combine ML models with optimization engines and human-in-the-loop capabilities, building scalable data and inference pipelines, and designing experimentation frameworks. The goal is to automate complex business processes and serve real-time predictions in production, impacting areas like supply chain, customer engagement, and inventory management.

Research Scientist role focused on building novel solutions for workforce optimization using operations research, causal inference, machine learning, and generative AI. The role involves designing simulation and optimization models for scheduling, hiring, and task assignment, developing causal inference frameworks, and collaborating with senior leaders to influence strategic decisions. The work directly impacts operational efficiency and employee experience at Amazon's global scale.

Applied Scientist role at Amazon Prime Video focusing on building multi-modal machine learning technologies for content localization, understanding, and enrichment. The role involves applying state-of-the-art NLP and computer vision research, particularly with vision-language models and multimodal LLMs, to understand video content, including long-context understanding and causal reasoning across temporal sequences. The goal is to power next-generation video understanding and search capabilities for Prime Video.

Solutions Architect II for AWS Worldwide Public Sector's US Nonprofit (NPO) team, focusing on the Membership sub-vertical. The role involves architecting, demonstrating, and accelerating AWS adoption for large nonprofit organizations. Key responsibilities include leading generative AI engagements on Amazon Bedrock (Knowledge Base, AgentCore, RAG, agentic AI, Responsible AI), modernizing contact centers with Amazon Connect, and building AI-driven analytics. The role also involves mentoring junior SAs and contributing to internal accelerators and demo-build programs.

Senior Applied Scientist on the Linear Personalization Experience (LPEX) team at Amazon Prime Video. This role focuses on defining and driving the science strategy and roadmap for Linear TV personalization, designing, developing, and deploying ML models for content recommendation, viewer engagement optimization, and real-time personalization. The role involves owning the complete ML lifecycle, building and optimizing recommendation systems with strict real-time latency requirements, and partnering with software engineering teams for production deployment. The team is building next-generation, AI-powered personalization and recommendation systems.

Cloud Architect for AWS Professional Services focusing on enterprise customers, with a specialization in AI/Agentic AI architectures and Retail/Consumer Goods (RCG) solutions. The role involves pre-sales, solution design, and collaboration across Amazon business units to drive SOW signings and successful implementations.

Software Development Engineer to build industry-first conversational advertising experiences powered by LLMs on Amazon Search. This role involves shipping GenAI to hundreds of millions of shoppers, working at the intersection of Generative AI and advertising at Amazon's scale. Responsibilities include designing and developing new conversational ad experiences, building large-scale, low-latency distributed systems and ML infrastructure, partnering with scientists to implement and operationalize LLMOps, and building data pipelines for personalized, AI-driven advertising.

Manager for a Business Intelligence team focused on building AI-powered analytics infrastructure and GenAI-enabled data products for FBA Inventory Optimization. The role involves leading a team, establishing technical standards, designing and building data/monitoring pipelines for AI-powered growth advisor products, architecting reusable data infrastructure, defining measurement frameworks for AI-driven experiences, and partnering with product/science teams on causal frameworks and attribution. The goal is to shift from traditional reporting to intelligent, AI-native data systems that deliver predictive insights and support AI agents.

Software Dev Engineer II for Amazon Ads Conversational Ad Experiences team, focusing on generative AI and LLMs to revolutionize advertising. The role involves designing and building net new conversational ad experiences, integrating AI-driven solutions, and creating scalable systems for personalized ads. It requires strong software engineering skills, experience with large-scale distributed systems, and collaboration with science teams to implement LLM models in production and contribute to LLMOps.

This role focuses on designing and implementing agentic AI and generative AI solutions for healthcare and life sciences customers on AWS. The Principal ProServe Cloud Architect will partner with customers to understand their business objectives and translate them into innovative cloud and AI solutions, focusing on areas like clinical trial management, data operations, and regulatory submissions. The role involves technical advisory, solution design, and collaboration with various AWS teams to drive digital transformation and achieve customer business outcomes.

Software Development Manager to lead a team building an advertiser Intelligence Center (AIC) service, which serves as the contextual backbone for AI agents. The role involves owning the technical vision, people development, and delivery for systems that aggregate, structure, and serve advertiser context to agents, enabling AI-driven workflows. This is a greenfield leadership opportunity at the intersection of large-scale data systems, Generative AI, and production agent frameworks.

Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, the contextual backbone for AI agents in Amazon Advertising. This role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. It sits at the intersection of large-scale data systems, Generative AI, and production agent frameworks, focusing on building context services for intelligent sales workflows.

Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, which acts as the contextual backbone for AI agents in Amazon Advertising. The role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. This is a greenfield opportunity to work at the intersection of large-scale data systems, Generative AI, and production agent frameworks.

Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, which acts as the contextual backbone for AI agents in Amazon Advertising. The role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. This is a greenfield opportunity to work at the intersection of large-scale data systems, Generative AI, and production agent frameworks.

Software Development Engineer to build an Advertiser Intelligence Center (AIC) service, which acts as the contextual backbone for AI agents in Amazon Advertising. The role involves designing and implementing systems to aggregate, structure, and serve advertiser context to agents, enabling AI-driven sales workflows. This is a greenfield opportunity to work at the intersection of large-scale data systems, Generative AI, and production agent frameworks.

Senior Solutions Architect to lead technical partner integrations for Alexa+, Amazon's next-generation personal AI assistant. This role involves designing, validating, and shipping integrations that bring third-party agentic capabilities into Alexa+ across diverse consumer categories. The architect will work hands-on with partners, build playbooks and reference architectures, and influence product roadmaps. The role requires experience with modern integration protocols, agentic system design, and full-stack fluency.