Economist role focused on the International Seller Services team, leveraging LLMs and generative AI to analyze and improve the global seller ecosystem. The role involves applying economic theory and advanced analytics to solve business problems, build frameworks, and design measurement systems for seller growth and marketplace dynamics.

Software Development Engineer role focused on building and optimizing high-throughput, low-latency distributed systems for Sponsored Products ad delivery at Amazon. The role involves working at the intersection of search architecture, information retrieval, NLP, and deep learning at massive scale to improve ad coverage, relevance, and performance. It requires designing, developing, and operating these systems, handling billions of requests per day with millisecond response times, and innovating in core areas to advance ad matching capabilities. The team is also re-imagining advertising through generative AI technologies.

This role is a Business Development Specialist for Amazon Bedrock, focusing on Go-To-Market (GTM) strategy for Models on Bedrock. The individual will lead GTM strategy, expand model choice and access for customers, define GTM strategy, lead cross-functional initiatives to expand markets, develop scalable programs to drive adoption, and identify new opportunities. Responsibilities include creating sales plays, leveraging partners, building new initiatives, providing customer feedback for product roadmaps, and working with the partner network. The role also involves market sizing, pipeline building, understanding customer use cases and technical requirements, developing joint GTM strategies with foundation model partners, creating field training content, driving industry thought-leadership, and working with product teams to define new features. The ideal candidate has a business and technology background, domain expertise in generative AI and ML use cases, technical depth to articulate Bedrock's benefits, and an understanding of GenAI market trends and LLM providers. They will interact with internal AWS teams and external customers and model providers, driving GTM plans, understanding business problems, and helping define and implement GenAI solutions.

This role focuses on leading strategic transformation initiatives for enterprise customers adopting Amazon Kiro and AWS's generative AI platform to revolutionize how they build and deliver digital products. The Principal Customer Success Specialist will define methodologies, frameworks, and repeatable models for AI-driven digital product delivery transformation, influencing product roadmaps, partner ecosystems, and go-to-market strategies. Responsibilities include designing transformation strategies, building repeatable methodologies, enabling partner ecosystems, managing customer success, and providing thought leadership.

This role is for a Senior Software Development Engineer on the Amazon OpenSearch Service Control Plane team. The team manages a large fleet of cloud-native OpenSearch clusters, focusing on reliability, scalability, and automation. The role involves driving architectural decisions for large-scale distributed systems, leading design and development of complex services, and contributing to the OpenSearch project. A key aspect is building and applying AI fluency across the software development lifecycle, including using AI for code assistance and validation. The role also includes operational responsibilities and mentoring engineers.

This role involves applying causal inference, LLMs, and generative AI to economic research for Amazon's International Seller Services. The candidate will lead a team of economists and scientists, develop economic frameworks, and provide actionable insights to business leaders. Requires a PhD in economics and experience in analytics, applied economics, and team management.

This role focuses on designing and implementing Salesforce solutions within AI initiatives, integrating with AWS AI services to improve customer service efficiency through AI-powered automation. The primary focus is on Salesforce development and integration, not direct AI model building.

Software Development Engineer II on the SKG team within AWS Infrastructure Services. This role focuses on building intelligent systems to automate the triage, analysis, and routing of operational alarms in data centers, leveraging generative AI and integrating with services like Amazon Bedrock. The engineer will own features end-to-end, including design, coding, testing, deployment, and operation, with a focus on applied engineering and orchestrating AI services.

This role focuses on the design verification of hardware for machine learning acceleration, specifically mentioning AWS Inferentia. While it deals with hardware that runs ML models, the core responsibility is in hardware verification and design, not in developing or deploying ML models themselves.

Hardware Design Engineer role focused on the definition, design, and validation of AWS next-generation ML Chips, Cards, and server integration. The role involves designing and optimizing hardware in data centers, with a focus on PCIe and Serdes topics for custom platforms within AWS datacenters. This position requires leadership in applying new technologies to large-scale server deployments to improve product performance, quality, and cost.

This role is for a Senior Product Manager, Technical (PMT) at Amazon, focused on driving the strategy and launch of new features for the Worldwide Promotions and Events platform. The role involves understanding customer needs, defining product roadmaps, collaborating with engineering and UX teams, and running experiments to improve the customer experience and business outcomes related to promotions and deals on Amazon. While the role mentions using generative AI tools to enhance workflow efficiency and identify opportunities, the core responsibilities are product management for a consumer-facing platform, not direct AI/ML model development or deployment.

The Sr. Technical Program Manager will own and drive large, critical programs involving machine learning models and AI systems to improve employee experience at Amazon. This role requires coordinating cross-functional teams, managing program lifecycles, defining strategies, and ensuring successful delivery of AI/ML-driven solutions.

This role is for an Associate Account Executive at Amazon Web Services (AWS) focused on accelerating pipeline growth for new and existing customers. The role involves identifying opportunities, developing strategies, and engaging with customers using AI-powered sales tools and data-driven insights. It's positioned as an entry point into AWS sales, with a clear career path towards full-cycle selling.

This role focuses on driving business outcomes for enterprise customers by connecting industry and business priorities to digital and AI strategy and solutions. The Senior Business Innovation Advisor will lead discovery workshops, build business cases quantifying transformation ROI, and develop customer-specific transformation roadmaps to inspire the adoption of AWS AI and cloud services. The role involves collaborating with sales leadership and account teams to shape deal structures and provide thought leadership on value-based selling practices.

This role is a Senior Sales Specialist for Analytics within AWS Enterprise Accounts. The primary focus is on driving revenue and market share by helping customers leverage AWS analytics and AI/ML services, including Amazon SageMaker and Amazon Bedrock, to achieve their business goals. The role involves understanding customer needs, crafting strategic plans, articulating value propositions, and managing the sales process from evaluation to closing deals. It requires a blend of strategic sales leadership, technical acumen in cloud and AI solutions, and strong business development skills.

This role is for a Senior Technical Program Manager at Amazon Ads, focusing on the media planning platform and Demand Side Platform (DSP). The individual will lead cross-functional programs, define technical requirements, develop roadmaps, and drive operational excellence. The role involves working with engineering, product, and applied scientists on AI-powered planning tools and agentic AI experiences, impacting billions in advertising revenue.

Solutions Architect for AWS, focusing on driving adoption of AWS services, including Generative AI and Agentic AI, with enterprise customers in the Hi-Tech and Semiconductor industry. The role involves building technical relationships, providing recommendations on cloud architecture, and educating customers on AWS technologies. This role is customer-facing and involves understanding customer needs to inform AWS roadmaps.

This role is for a Senior Security Solutions Architect at AWS, focusing on helping customers migrate workloads to the cloud and secure their generative AI applications. The role involves providing security expertise, designing and building solutions for security, risk, and compliance on AWS, and advising on identity and access management for both workforce and customer identities. The candidate will also develop technical artifacts, convey best practices, and mentor other AWS teams on security.

Data Engineer role focused on building and maintaining data pipelines and infrastructure, with a specific emphasis on contributing to generative AI initiatives and AI-enabled tools. Requires experience in data engineering, ETL, SQL, and scripting languages, with a plus for AWS and generative AI tool familiarity.

Senior Software Development Engineer role focused on enhancing Amazon Athena by providing customers with insights into their query performance, cost, and potential issues. The role involves leveraging AI/ML experience to drive optimizations and developing new capabilities within the Athena query engine and its distributed systems.

Senior UX Designer for Amazon Ads' Brand Innovation Lab, focusing on defining and leading advertising experiences across emerging technologies like generative AI. The role involves end-to-end design strategy, user research, prototyping, and collaboration with cross-functional teams to deliver innovative customer experiences.

Lead SDE C/C++ role focused on hardware/software co-design for ML acceleration systems, developing bare metal firmware for custom ASIC-based ML Accelerator chips. The role involves working at the intersection of hardware and software, collaborating with design teams, and driving best practices in embedded development for ML infrastructure.

Senior Software Development Engineer role focused on building agentic AI solutions for automating the lifecycle of AWS resource type onboarding. The role involves designing and building AI agent orchestration systems, working with large-scale distributed systems, and reasoning about AWS service APIs to automate tasks with minimal human intervention.

Principal Technical Program Manager to define and drive strategy for AI automation across Prime Video, influencing VP+ level decisions, identifying technical risks, and creating scalable mechanisms for responsible AI adoption and integration. The role involves advising senior leaders, managing cross-organizational initiatives, and ensuring alignment with business objectives for improved efficiency and customer experience in entertainment.

This role is for a Senior Frontier AI Partner Development Manager at Amazon Web Services (AWS), focusing on building and managing relationships with startup Generative AI partners. The primary responsibility is to drive go-to-market strategies, adoption of AWS services, and revenue growth through these partnerships. The role requires a blend of technical understanding, business development, sales, and partnership management skills, with a focus on strategic planning and execution for AI startups.

The Data Scientist II will design and implement solutions to address complex business questions using advanced statistical and machine learning (ML) techniques, experimentation, and big data. In this role, you will build scalable ML models, apply advanced analysis technique and statistical concepts to draw insights from massive datasets, and create intuitive science models and data visualizations. You can contribute to each layers of a data solution – you will work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, and implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality.

This role focuses on working with early-stage startups to help them leverage AWS technology at scale, acting as a trusted advisor and influencing their technical decisions. It involves designing large-scale architectures, supporting platform evolution, and advocating for customer needs with product teams. The role also includes creating technical content and presenting at events.

This role is a Security Assurance Solutions Architect for AWS, focusing on helping enterprise customers design, build, and operate secure cloud environments. The role involves advising customers on risk, regulatory, and compliance requirements, particularly for sensitive workloads and regulated data migrating to the cloud. It emphasizes understanding and translating compliance needs into scalable solutions, working with various AWS teams, and potentially traveling to customer sites. While the role mentions Generative AI and responsible AI practices as a way to augment productivity, its core function is in cloud security, risk, and compliance, not in building or directly shipping AI models or agents.

Data Engineer role focused on building and maintaining scalable data infrastructure and ETL pipelines to support business intelligence, analytics, and machine learning models within Amazon Transportation Services. The role involves integrating diverse data sources, curating data, and automating data pipelines using AWS technologies.

Senior Customer Solutions Manager for AWS supporting US Air Force (USAF) Intelligence and Information Dominance customers. The role focuses on accelerating cloud and AI adoption, driving customer outcomes, and managing complex engagements within DoD environments. Responsibilities include developing adoption strategies, identifying opportunities for generative AI and modernization, and acting as a trusted advisor to senior decision-makers.

Senior Product Manager for Amazon Connect's Workforce Acceleration team, focusing on developing next-generation generative AI-infused contact center capabilities. The role involves defining product roadmaps, requirements, and go-to-market strategies, working cross-functionally to deliver high-scale, customer-focused solutions.

This role is for a Sr. Technical Program Manager on the Amazon Ads Sponsored Products and Brands team. The role focuses on improving the quality of underlying agentic solutions and driving initiatives to incorporate brand intelligence across Amazon. While the team uses generative AI technologies, the TPM role itself is not directly building or researching AI models, but rather managing programs and product strategies related to AI-powered advertising products. The role requires strong technical program management experience, system design, and roadmap development.

This role is for a Senior GenAI Partner Development Manager on the AMER Tech Partners team, focusing on ISV partnerships within the Generative AI space. The primary responsibility is to lead go-to-market strategy and manage partnership relationships with strategic Generative AI ISVs, driving adoption of AWS cloud computing platform and revenue opportunities. The role involves defining and executing joint sales and GTM programs, managing partner development plans, setting revenue targets, managing opportunity pipelines, and collaborating with internal AWS teams and partner customer bases. It also requires understanding technical requirements to guide product offerings and using analytics tools for tracking and reporting.

Software Development Engineer role focused on building and operating large-scale machine learning systems for fraud detection and risk prevention at Amazon. The role involves developing ML systems for data, feature, model, and rule management, collaborating with ML scientists, and delivering next-gen solutions.

This role is for a Senior Customer Success Manager focused on driving business growth for influential Sellers on the Amazon Store. The candidate will build and execute strategic joint business plans, identify innovative ways to improve selection, merchandising, traffic, and operations. Key responsibilities include analyzing data, acting as a strategic partner, managing account goals, building trusted advisor relationships, and improving team efficiency. While not directly building AI, the role involves using generative AI tools to enhance workflow efficiency and identifying opportunities for AI to improve products and experiences.

Software Development Engineer II role focused on building the platform for AI agents within the AWS Billing console. This includes developing agent-facing interfaces, generated user experiences, and integrating with customer-built agents. The role also involves delivering contractual cost and usage data exports and scaling the platform. It emphasizes end-to-end ownership, operational excellence, and contributing to the evolution of the console in an agent-mediated world.

Senior Account Manager for AWS Enterprise Games, focusing on a strategic customer in the game industry. The role requires building growth plans, establishing relationships with diverse stakeholders, and leveraging technical fluency and a consultative approach. Experience with AI/ML is increasingly important for customers exploring its use in personalized player experiences, real-time operations, and content creation.

Senior Software Engineer role focused on building and scaling MLOps/GenAIOps systems for Amazon's Talent Solutions. The role involves managing large data volumes, supporting the ML lifecycle (training, validation), and enhancing LLM responses using techniques like RAG and Prompt Engineering. Emphasis on scalable systems for model deployment and GenAI application building.

Associate Account Executive role at Amazon Web Services (AWS) focused on accelerating pipeline growth for new and existing customers. The role involves identifying whitespace opportunities, developing outreach strategies, and driving net-new business using AI-powered sales tools and data-driven insights. It's positioned as an entry point into AWS's North American sales organization with a clear career path.

Principal Technical Product Manager for Amazon's Sponsored Products and Brands Marketplace Intelligence team, focusing on improving ad experiences on Search pages. This role involves developing roadmaps, collaborating with scientists and engineers on ranking and placement improvements, overseeing business operations, and driving growth in key advertising segments. The team leverages generative AI to revolutionize customer discovery and brand engagement.

Sr. Manager, Product Management – Technical to lead the team responsible for differentiated recommendation experiences on Amazon's search results pages, which are AI-generated discovery modules and personalized collections that offer shoppers curated, organized and highly personalized advertising. This role manages a cross-functional team of scientists, engineers and product managers and defines the long-term vision for ad recommendation experiences on Amazon Search.

The Principal PMT will lead the product vision and strategy for personalized video advertising experiences within Amazon Ads, leveraging generative AI to enhance customer discovery and brand engagement. This role involves charting product direction, collaborating with partners, defining customer experiences, and influencing senior leadership.

This role involves designing and implementing AI and cloud solutions for healthcare and life sciences customers, focusing on clinical development, data operations, and regulatory submissions. The architect will act as a trusted advisor, guiding customers on emerging technologies like agentic AI and collaborating with internal teams to drive innovation and customer business outcomes.

This role focuses on manufacturing and quality assurance for AI servers and systems, specifically those utilizing Trainium chips. The engineer will work with cross-geographical ODMs and CMs to implement test techniques, improve manufacturing processes, qualify production lines, and mitigate product/component risks. The role is part of Annapurna Labs, which develops custom silicon and servers for AWS, including ML accelerators like Trainium and Inferentia. While the products are AI-related, the core function of this role is manufacturing engineering, not direct AI/ML model development or research.

This Program Manager role focuses on providing analytical support for an e-commerce innovation team. The role involves deep-dive analysis, building partnerships with analytics teams, producing independent analyses, and owning performance narratives. A key aspect is establishing a repeatable approach to leveraging generative and agentic AI tools to accelerate analytical output and reduce manual effort.

This role is for a Sr. Marketing Analytics Manager at Amazon Devices. The primary focus is on owning and evolving traffic and marketing reporting mechanisms, serving as an analytics expert, and conducting deep-dive analyses to identify trends and growth opportunities. The role involves developing data visualizations and automated reporting solutions, partnering with product leaders, and proactively identifying anomalies. A key aspect is identifying opportunities to leverage AI and automation tools to improve reporting efficiency and analytical depth. While the role encourages the use of AI tools, it does not involve building AI models or agents as its core function.

Finance Manager for Amazon's Alexa Enterprise Frames team, an AI-powered smart glasses platform for delivery associates. The role involves financial modeling, analysis, and strategic guidance for a business at the intersection of wearable hardware, AI/ML, and logistics.

Applied Scientist in AWS Science of Security focused on building models for business applications to enhance AWS security, privacy, and sovereignty. The role involves solving complex problems, owning solution design and delivery, and providing cross-organizational technical influence.