This role focuses on designing, implementing, and fine-tuning state-of-the-art Generative AI solutions for AWS customers, working directly with them to understand business problems and guide them towards production. It involves collaborating with AI/ML scientists and architects, creating best practices, and providing customer feedback to product teams. The role requires experience managing and deploying ML products, customer-facing engagement, and building/operating cloud solutions.

Data Scientist role focused on building AI capabilities for financial planning and analysis (FP&A) at Amazon. The role involves developing forecasting models and AI systems, including agents, to automate repetitive finance tasks. The models ship to production and influence key financial decisions like stock-based compensation and headcount planning. Responsibilities include applying data science methodologies, leading model lifecycles from research to production, conducting experiments, and partnering with stakeholders.

Software Development Engineer role focused on building and deploying AI and computer vision systems for workplace safety at Amazon. The role involves designing, developing, and maintaining production services, optimizing data pipelines, integrating ML model outputs, and collaborating with applied scientists to productionize models. It emphasizes end-to-end ownership from data ingestion to edge deployment and operational maintenance.

Software Development Engineer to build AI and computer vision systems for workplace safety, focusing on real-time inference, ML model deployment at the edge, and integrating ML outputs into internal tools. The role involves end-to-end software development, from data ingestion to production services.

The role focuses on building Generative AIUX products for AWS customers, specifically an AI-powered internal prototyping tool (Venue) and an external version (Arena). It involves integrating with LLMs, optimizing AI-driven interfaces, and designing end-to-end GenAI-powered services for design generation, validation, and automation.

This role focuses on helping enterprise customers adopt and implement Generative AI, Machine Learning, and Agentic technologies on AWS. The Solution Architect will act as a trusted advisor, building technical relationships, and crafting scalable architectures to address customer challenges. Responsibilities include guiding customers through GenAI/ML and Agentic projects, providing recommendations on various aspects of cloud architecture, advocating for customer needs internally, and creating technical content and best practices. The role requires hands-on experience with AWS AI services, LLM deployment, and RAG implementation.

This role focuses on designing and building agentic AI systems for security automation within Amazon. The scientist will reason about code, produce security intelligence, and adapt AI/ML techniques to solve security problems, ultimately contributing to the development of secure software at scale.

Software Development Engineer II for AWS User Experience Products & Platform team, focusing on building an intelligent, agent-powered system to automate and accelerate AWS Management Console development. The role involves designing and architecting a multi-agent system leveraging LLMs, tool-use, and autonomous reasoning to generate, validate, and deploy console experiences.

This role is for a Sr. Manager, GenAI/ML Specialist Solutions Architects at AWS, focusing on scaling the GenAI/ML business within specific industry segments (Auto/Mfg, Media & Entertainment). The individual will lead a team of Solutions Architects, define technical strategy, and partner with sales and product teams to drive customer adoption and growth of AWS's GenAI/ML services. The role requires strong leadership, deep technical understanding of AI/ML services, and experience in enterprise customer-facing roles.

Senior Applied Scientist role focused on developing and optimizing machine learning models and algorithms for Amazon's Last Mile delivery network. The role involves building solutions for capacity management, system policies, and optimizing delivery operations, with a strong emphasis on operations research and analytical skills. Candidates will be responsible for end-to-end model development, from data analysis to production system implementation, and will also mentor junior scientists.

Research Scientist focused on developing Control Barrier Function (CBF) theory and algorithms for safety-critical control in robotics. The role involves creating algorithms with formal safety guarantees, integrating them with learned control policies, and deploying them on next-generation robots. Key responsibilities include developing novel CBF algorithms, framing safety filtering within layered architectures involving learning-based components, designing multi-layer CBF filters, and formalizing the interplay between models and system dynamics. The role also requires implementing real-time optimization solvers, validating algorithms through simulation and hardware experiments, and contributing to theoretical foundations through publications. Collaboration with various teams and product leaders is essential for setting a science roadmap.

Research scientist to build deep learning models for predicting query resource consumption in Amazon Redshift, covering the full ML lifecycle from data analysis to production deployment and publication.

This role is for a Builder Solution Architect on the AWS Product Marketing Demo Engineering team. The primary responsibility is to design and implement production-quality technical demonstrations, sample code, and starter projects for AWS services, particularly focusing on Generative AI and Machine Learning. The role involves collaborating with various teams (field, GTM, service, cross-functional stakeholders) to understand use cases and develop demonstration solutions. The architect will also contribute to demo standards, best practices, and knowledge sharing through blogs and reference architectures. The role emphasizes software development skills to create showcases for new products and features, working in ambiguous environments and learning new concepts quickly.

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.

This role is for a Delivery Consultant on the AWS Professional Services team, focusing on implementing end-to-end AI/ML and Generative AI solutions for enterprise customers in the life sciences industry. The consultant will design, implement, and manage AWS AI/ML and GenAI solutions, working closely with customers to understand their needs, architect scalable solutions, and ensure successful adoption. Responsibilities include data preparation, model development, deployment, monitoring, MLOps, and acting as a trusted advisor.

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.

Principal Product Manager - Technical to lead a new 0->1 initiative shaping how customers discover, organize, and share across Amazon, leveraging Generative AI and LLMs for transformative customer experiences. This role requires creative product thinking, deep technical fluency, and influencing senior leadership to drive execution across engineering, science, and design teams.

This role involves developing and implementing ML/LLM solutions for business needs within Amazon's Global Stores division. The analyst will collaborate with experts, drive product pilots, build scalable solutions, write code, develop ML/LLM models, and optimize solutions by coordinating between science and software teams. The role requires working independently in ambiguous, fast-paced environments with ML/LLM models.

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.

The Principal PMT will drive the vision, strategy, and execution of a Machine Learning platform and infrastructure for Prime Video, powering personalization, discovery, and customer/content intelligence at a global scale. This role owns the strategy and roadmap for foundational platforms across Data, ML, and Measurement, enabling teams to rapidly build, experiment, and productionize ML solutions. Key responsibilities include defining the multi-year vision for ML platform and infrastructure, developing data platform strategy, building end-to-end ML tooling, supporting large-scale model training and real-time inference, defining feature store strategy, owning the developer experience for ML builders, enhancing the measurement platform, influencing senior leadership, and driving adoption of platform capabilities.

Sr. Applied Scientist role focused on developing and deploying optimization, ML, and GenAI/LLM solutions for Amazon's fulfillment network. The role involves understanding operational processes, designing mathematical models, creating prototypes, partnering with engineers for production integration, and monitoring performance. Requires experience in building and deploying optimization and ML models at scale.

This role leads a performance engineering group focused on optimizing ML infrastructure for EC2, covering diverse workloads like LLMs and multimodal models. The responsibilities include building and managing a team, driving architectural decisions, developing performance measurement infrastructure, and establishing regression coverage across the ML systems stack from low-level optimization to serving layers.

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 Solutions Architect focused on Generative AI (GenAI) and Amazon Bedrock, responsible for designing and optimizing customer solutions, driving adoption, providing technical guidance, and acting as a liaison between customers and product teams. This role involves thought leadership, creating enablement materials, and building prototypes/PoCs for GenAI systems.

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.

This role is for a Software Development Manager on the Worldwide Returns & ReCommerce team at Amazon. The team builds AI and machine learning infrastructure for global reverse logistics, focusing on automating decision-making, maximizing financial recovery, and optimizing processing efficiency. The manager will lead teams in developing and deploying NLP, Computer Vision, and Classical ML models, as well as the associated infrastructure for model hosting, grading pipelines, and low-latency inference.

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.

Design and implement machine learning models for recommendation systems in talent acquisition at Amazon, focusing on fairness and explainability. The role involves full software development lifecycle, collaboration with cross-functional teams, and staying current with scientific literature to improve hiring processes.

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.

PhD or Master's level scientist with 3+ years of experience building models for business applications, focusing on machine learning, NLP, computer vision, automated reasoning, robotics, or quantum technologies. The role involves owning the design and development of end-to-end systems, creating technical roadmaps, and driving production-level projects for Amazon Science. Requires experience in patents or publications at top-tier conferences/journals and programming in Java, C++, or Python.

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.

Software Development Engineer role focused on building and operating features for Amazon's next-generation recommendation system (RecsAI), which is built on a custom-trained LLM for shopping. The role involves designing and delivering end-to-end solutions at Amazon scale, integrating LLMs into real-time recommendation experiences, and collaborating with product and science teams.

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 role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment.

Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment.

Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment.

Software Development Engineer role at Amazon Pharmacy focusing on building ML-driven supply chain systems. Responsibilities include system design, development, operational ownership, and collaboration, with an emphasis on productionizing ML models for demand forecasting, procurement, and inventory placement. The role involves working with large-scale datasets, distributed systems, and operations research techniques within a regulated healthcare environment.

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 III role focused on building and owning end-to-end large-scale distributed systems and AI/ML-powered applications for Amazon's product catalog. The role involves designing, implementing, and operating systems for product identity, matching, and relationship management, leveraging AI/ML solutions including multimodal LLMs, embedding-based systems, and agentic systems. Key responsibilities include leading architecture decisions, building and optimizing inference infrastructure, and partnering with Applied Scientists to productionize ML research.

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.