Amazon

This role is a Senior Specialist Business Development role focused on driving the adoption of AWS AI/ML/GenAI products and services within the WWSO (Worldwide Specialist Organization). The primary focus is on sales, business development, and customer engagement to promote AWS AI/ML solutions, rather than direct AI/ML model development or research. The role involves understanding customer business challenges and demonstrating how AWS AI/ML services can provide solutions, synthesizing market intelligence, and collaborating with sales and product teams.

Seeking a Sr. Quantitative UX Researcher to shape AI-native business applications, define research strategy, and influence human-AI interaction. This role involves owning experimental design, quantitative analysis, insight generation, and measurement strategies for AI-powered solutions. The researcher will work in 0 to 1 environments, define success metrics for agentic AI products, identify key behavioral signals, and invent AI-enabled tools and processes to scale research impact.

Product Manager, Technical for Amazon Merch on Demand to own the product end to end, including vision, strategy, and delivery. The role involves defining and executing product vision, strategy, and roadmap, framing discussions with stakeholders, establishing business indicators, and driving product discovery and prioritization. It also includes exploring and implementing AI-driven solutions for design assistance, personalization, and workflow automation, monitoring technology trends in AI, and overseeing user interface design, usability testing, and customer research. The role requires managing bottlenecks, resolving escalations, optimizing roadmaps, and influencing strategic direction.

This is a general Software Development Engineer (SDE) role within AWS that can be considered for various teams, including those focused on AI/ML. While AI/ML is mentioned as a potential specialization, the core responsibilities are for a general SDE, focusing on designing, developing, and maintaining code, implementing software solutions, and collaborating with cross-functional teams. The role emphasizes core software engineering principles and does not appear to be directly building or shipping AI models as its primary function.

This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data to optimize model performance within the consumer domain.

The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training.

This role is for a Sr. Analytics & AI Specialist Solutions Architect within AWS Global Sales. The primary focus is on helping customers leverage AWS services for data analytics and AI, acting as a trusted advisor and thought leader. The role involves deep technical expertise in data and AI domains to drive customer adoption and growth, collaborating with sales, marketing, and product teams. It emphasizes architectural reviews, thought leadership through content creation, and educating customers on AWS value propositions.

This role is for a Senior Solutions Architect on a new AWS Security Services team focused on driving customer adoption of AWS security services, particularly for generative AI and agentic architectures. The role involves owning the technical relationship with enterprise customers, architecting secure solutions, and providing feedback to product teams. It is a founding role on a new team, requiring the individual to help define processes and playbooks.

Senior Solutions Architect for AWS Security Services, focusing on helping enterprise customers securely adopt AWS security services, especially for generative AI and agentic architectures. This founding role involves owning technical relationships, architecting solutions, influencing product roadmaps, and producing thought leadership.

Senior Product Manager for Amazon Merch on Demand, focusing on e-commerce experiences in the sports and customization space. The role involves owning the product lifecycle, driving vision and strategy, leading cross-functional teams, and conducting customer discovery. While not directly building AI, the role requires understanding and leveraging generative AI tools to enhance workflows and customer experiences.

The Sr. Product Manager - Technical for Alexa Audio will own the product strategy and roadmap for audio features on Alexa, focusing on new content creation and enablement. This role involves working cross-functionally with engineering, science, design, and business teams to deliver industry-leading audio experiences across various devices and locales, leveraging Generative AI and LLM capabilities.

Senior Business Development Manager for Telecom CX at Amazon, focusing on leveraging Generative AI and Agentic AI to modernize customer journeys and contact center solutions. The role involves engaging with senior executives, understanding industry challenges, and delivering business outcome-driven propositions.

Senior Programmatic Solutions Consultant for Amazon Ads, focusing on managing the end-to-end customer experience for programmatic trading desks using the Amazon DSP. This role involves driving customer success through expertise in programmatic advertising, consulting on strategy, providing training, analyzing data for optimization, and advocating for customer feedback to inform product development. The role requires strong analytical skills, experience with digital advertising technologies, and client-facing experience.

This role is for a Senior Programmatic Solutions Consultant at Amazon Ads, focusing on managing the end-to-end experience for enterprise customers using the Amazon DSP. The consultant will drive customer success through expertise in programmatic advertising, provide training, strategic consulting, campaign optimization recommendations, and act as a liaison between customers and internal Amazon teams. The role involves analyzing data, advocating for customers, and ensuring proficient use of the Amazon DSP.

This role focuses on designing, delivering, and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting continuous price-performance improvements for large-scale LLM training and inference. The candidate will work across the full technical stack from baremetal server hardware to userland software, acting as a technical leader and systems debugger.

This role focuses on building and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting generative AI training and inference. The Systems Development Engineer will work on server designs, optimizing price-performance, and ensuring reliability and scalability of the underlying hardware infrastructure.

This role focuses on enabling partners and customers to deploy Generative AI (GenAI) workloads on AWS. The Partner Solution Architect will drive the go-to-market strategy for building and scaling GenAI solutions, working directly with customers to understand their challenges and implement scalable GenAI solutions, often through proof-of-concepts. The role involves collaborating with account teams, research scientists, and product teams to drive model implementations and create new solutions. Key responsibilities include enabling partners on AWS AI/data services, defining engagement strategies for autonomous agents and GenAI adoption, collaborating with AWS service teams on new capabilities, providing thought leadership on AI/data solutions, driving best practices, evangelizing partner value propositions, and offering architectural guidance for partner engagements.

Software Engineer role focused on building and scaling a large-scale machine learning platform for Amazon Personalize, an AWS service that provides individualized recommendations. The role involves architecting and developing the platform, optimizing performance, and creating solutions for distributed systems.

This role focuses on creating and delivering AI-powered demonstrations for AWS customers, educating them on AI technologies and their business value. It involves building high-quality demos, providing technical guidance, and facilitating hands-on experiences with AWS services and partner solutions, ultimately driving customer engagement and pipeline opportunities.

This role focuses on optimizing sales operations processes, analyzing sales trends, and developing automated solutions, with a specific emphasis on leveraging Generative AI capabilities to enhance workflow efficiency and derive insights from complex data. The position requires a Bachelor's degree and experience in data-driven planning, analytical initiatives, and implementing innovative processes.

Software Development Manager for AWS QuickSuite, a new Generative AI application for enterprises. The role involves leading a team of engineers to define, develop, and ship AI software, collaborating with scientists and product managers, and ensuring operational excellence.

This role is for a Senior Solutions Architect on a new AWS Security Services team focused on driving customer adoption of AWS security services, particularly for generative AI and agentic architectures. The role involves owning the technical relationship with enterprise customers, architecting secure solutions, and providing feedback to product teams. It is a founding role on a new team, requiring the individual to help define processes and playbooks.

This role focuses on working with early-stage startups to help them leverage AWS technology at scale, providing technical guidance, designing architectures, and acting as a trusted advisor. While the role mentions generative AI and deep learning, its core function is cloud solutions architecture and customer enablement, not direct AI/ML model development or deployment.

This role is for a Global Retirement Risk Manager at Amazon, focusing on identifying, assessing, mitigating, and monitoring risks within the company's global retirement programs. The individual will develop risk management strategies, frameworks, and governance structures, implement monitoring mechanisms, and manage risk reporting. While the core role is risk management, it involves using AI-powered analytics tools and generative AI applications for tasks like risk monitoring, predictive modeling, and dashboard development, making it AI-adjacent.

Senior Sales Specialist for Generative AI/ML at AWS, focusing on driving customer adoption and revenue growth for AWS's GenAI services within a specific territory. The role involves identifying customer opportunities, understanding their needs, aligning them with AWS GenAI solutions, and acting as a trusted advisor to embed and deploy these solutions. Responsibilities include developing GTM strategies, engaging with C-suite leaders, creating value propositions, co-developing GTM motions for new products, and gathering customer insights for product roadmaps.

Senior Economist role focused on causal inference, machine learning, and empirical industrial organization to optimize resource allocation and pricing decisions within Amazon Devices. The role involves leading vision setting, methods innovation, and influencing business executives, with outputs integrated into scaled systems for automation and objective maximization.

Software Development Engineer (Java&AWS) for Ring backend team, focusing on designing, implementing, and testing low-latency, high-uptime distributed systems and microservices. The role involves leveraging generative AI tools to improve development processes and will contribute to the next generation of Ring applications and services.

AWS Professional Services Cloud Architect in Australia focused on Public Sector customers, specializing in pre-sales and solution design for Agentic AI and Generative AI. The role involves understanding customer requirements, architecting cloud solutions, developing proof-of-concepts, and acting as a trusted advisor on emerging technologies.

Senior Technical Program Manager for Amazon Games GenAI team, focusing on delivering innovative Gen AI games. This role involves program management across a portfolio of AI games, acting as a liaison between GenAI tooling, AWS, and studio teams. Responsibilities include onboarding developers to AI services, shaping the product roadmap, assessing AI models and tools, and coordinating with various stakeholders for successful game launches. The role requires strong technical program management experience, game industry experience, and fluency in Generative AI concepts.

Software Development Manager for AWS Compliance & Security Assurance, focusing on Denied Party Screening. The role involves leading teams to build and scale ML/LLM-powered detection and resolution systems to prevent prohibited transactions with denied entities, handling significant scaling and TPS challenges. The manager will define team vision, shape technical strategy, mentor engineers, and ensure operational excellence for these AI/ML systems.

Technical Program Manager to lead cross-functional programs for Amazon's creator programs, focusing on social shopping and creator monetization. The role involves launching new customer-facing technology products, managing complex technical projects, and developing technical strategy. While the role utilizes AI tools for workflow efficiency and identifies opportunities for AI enhancement, its core function is program management rather than direct AI/ML development.

This role is for a Sr. Technical Program Manager on the Alexa Domains team, focusing on leading initiatives related to Agentic AI, Generative AI, and Real-time AI to enhance conversational experiences for millions of customers. The TPM will collaborate with cross-functional teams to design and deliver innovative solutions, integrate advanced AI systems into Alexa's core capabilities, and manage program roadmaps, prioritization, and quality initiatives.

Program Manager for Alpha/Beta testing of crime reduction products, leveraging AI-powered analytics tools to process user feedback, generate insights, and drive product launches. Focuses on managing testing programs, recruiting participants, monitoring engagement, and synthesizing AI-generated reports with qualitative insights.

Embedded Software Engineer role focused on developing and maintaining firmware for Machine Learning Accelerator (MLA) servers, including Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software. The role involves hardware/software co-design, device drivers, control systems, and automation for server infrastructure that supports ML workloads, but does not involve developing ML algorithms directly.

iOS Software Development Engineer for the Ring team, responsible for developing mobile applications that interact seamlessly with devices and delight customers. The role involves designing and building features, improving mobile application architecture, and using AI tools to enhance development efficiency, including creating unit tests, code, documents, and tickets. The goal is to provide the best customer experience and support new products that help make neighborhoods safer.

This role is for an Android Software Development Engineer on the Ring team, focusing on building and improving mobile applications that interact with Ring devices. The engineer will use AI tools to enhance feature development efficiency, including code generation and testing, and will collaborate with a cross-functional team to deliver new features for millions of users, aiming to make neighborhoods safer.

This role is for a Technical Program Manager within Amazon's Accounts Payables Technology team, focused on driving automation through agentic AI and ML. The TPM will manage complex cross-functional programs, define strategy, and ensure delivery of automation solutions that optimize financial operations. While the team uses AI/ML, the role itself is focused on program management and product delivery rather than direct AI/ML development.

Solutions Architect for AWS Global Sales, focusing on driving adoption of AWS cloud services, including Generative AI and intelligent automation, for enterprise customers in the Hi-Tech and Semiconductor industry. The role involves building technical relationships, making recommendations on cloud architecture, and educating customers on AWS technologies and new possibilities with services like Amazon Bedrock and Agentic AI architectures. The role also involves creating and sharing best practices and technical content.

Technical Program Manager II for Amazon's Workplace Health and Safety (WHS) Data-Tech team. This role leads cross-organizational workstreams for data and technology initiatives, partnering with product, data engineering, software development, and data science teams. Responsibilities include driving strategy implementation, assessing risks, balancing business needs with technical constraints, and transforming technical concepts into documentation. The role coordinates across domains like data pipelines, analytics, generative AI, computer vision, and web/mobile technologies, aiming to reduce workplace risks and injuries.

This role is for a Customer Success Manager at AWS, focusing on helping Independent Software Vendors (ISVs) transform their businesses using cloud and AI technologies. The CSM will guide customers through adoption, migration, and achieving business outcomes by connecting them with AWS expertise and programs. The role requires understanding cloud and AI concepts to advise clients on strategy, governance, and adoption of generative AI and agentic capabilities.

Solutions Architect for AWS in the UK, focusing on the Travel and Hospitality industry. This role involves working with customers to understand their needs, provide technical guidance on AWS technologies, drive innovation, and manage the technical relationship. The Solutions Architect will also act as the voice of the customer internally and create technical content and reference architectures, including for AI/ML use cases.

This role is for a Senior Technical Account Manager (TAM) at AWS Enterprise Support, focusing on Healthcare and Life Sciences (HCLS) customers. The TAM will act as a trusted advisor, helping organizations leverage cloud and Generative AI for drug discovery, clinical operations, and patient outcomes. Responsibilities include crafting strategic support plans, guiding customers on AI/Gen AI adoption using AWS services like Bedrock and SageMaker, navigating regulated environments (HIPAA, GxP), and providing technical guidance. The role requires influencing technical decision-makers and managing complex, mission-critical workloads.

This role focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of auditors, execute complex audits, and provide analysis and insights for optimization. The role requires hands-on audit execution and leadership experience in technical domains.

Software Development Engineer Intern role focused on building AI-based automation technology operations platforms. Responsibilities include designing and developing scalable user interfaces, data structures, and algorithms, with a need to understand basic AI/ML algorithms. Requires collaboration with engineering teams for feature implementation and deployment.

Software Development Engineer Intern focused on building AI-based automation technology operations platforms, requiring design and development of scalable systems and collaboration with engineering teams. Basic qualifications include CS fundamentals and understanding of AI/ML algorithms, with preferred qualifications in GenAI, LLMs, and Agentic AI systems.

Senior Solutions Architect at AWS focusing on helping Independent Software Vendors (ISVs) in Canada adopt AWS cloud services. The role involves acting as a technical leader and strategic advisor, designing end-to-end architectures, and influencing long-term technology strategy. While the role requires deep technical expertise across multiple domains including AI/ML, generative AI, agentic applications, MLOps, and RAG (preferred qualifications), its primary function is to architect and drive the adoption of cloud solutions for customers, rather than directly building or researching AI models themselves. The role supports customers in shipping AI-powered products.

This role focuses on building and maintaining scalable data pipelines, designing and implementing ontology structures, and enabling query grounding on knowledge graph systems. It involves using ETL software, programming languages, and LLMs for data cleaning, manipulation, and mapping. The role also includes analyzing pipeline performance, creating documentation, and performing quality assurance and root cause analysis on issues.

Software Development Engineer role focused on building new personalization and optimization capabilities for Amazon's Brand Stores using generative AI and machine learning. The role involves partnering with product, design, and science teams to create customer-facing products that enhance the shopping experience and connect brands with shoppers.