Amazon

Data Engineer role focused on building and maintaining scalable data infrastructure and pipelines to support ML model training and inference for fraud prevention in e-commerce. The role involves processing large volumes of data, optimizing ETL processes, ensuring data integrity, and collaborating with scientists to productionize ML models, with a focus on low latency and high reliability for inference.

Software Development Engineer role focused on robotics at Amazon, involving the design, development, and operation of innovative products and services. The role requires collaboration with cross-disciplinary teams, building scalable cloud-native solutions, and leveraging GenAI/AI tools for development productivity. Key responsibilities include working with fulfillment center technologies like robotics, computer vision, and cloud services, as well as writing clean code and participating in agile development practices.

Data Scientist role at Amazon Music focused on accelerating customer growth through personalized experiences, engagement, and retention. The role involves advanced analytics, experimentation, building causal and predictive models, and driving data-informed product decisions. It touches on Gen AI initiatives and requires experience in ML/statistical modeling and data querying.

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 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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

This role focuses on Business Intelligence and Data Analytics for Private Pricing Deals within AWS. It involves creating performance reports, providing insights, building analytical models for hypothesis testing and forecasting, and developing self-service dashboards. The role requires strong SQL, Python scripting, and experience with AWS technologies, with a focus on translating business requirements into data-driven solutions.

This role focuses on Signal and Power Integrity (SI/PI) analysis and optimization for advanced packaging solutions of machine learning and data center ASICs. The engineer will perform simulations, build models, and contribute to design decisions across IC, package, and board boundaries, working with senior engineers to meet performance and power delivery targets. Responsibilities include package-level SI/PI simulations, stack-up design support, high-speed channel simulations, modeling advanced interconnects, and validating decoupling technologies. The role also involves coordinating with SoC and board design teams and identifying potential manufacturing risks.

This role is for a Senior Product Manager, Technical Products, focusing on Pay by Invoice within Amazon's fintech division. The core responsibility is to lead the development of agentic AI solutions to automate financial processes and improve invoice payments for B2B customers. The role involves defining product requirements, partnering with engineering on scaling architecture, driving cross-functional alignment, and creating new business ideas in the fintech space.

Senior Product Manager for Amazon Prime US, focusing on driving membership acquisition strategies. This role involves defining product roadmaps, partnering with research teams for customer insights, measuring performance, and collaborating with marketing and other internal teams. While the role mentions using generative AI tools for workflow efficiency and exploring their potential to enhance products, it is not core to the role's responsibilities.

The Senior Solutions Developer, Prototyping and Customer Engineering (PACE) role at Amazon Web Services (AWS) focuses on building prototypes and early-stage solutions for enterprise customers, primarily leveraging Generative AI. The role requires a strong technical background in cloud architectures and emerging technologies, with an emphasis on hands-on development, customer engagement, and problem-solving in ambiguous situations. The developer will work in small teams to rapidly iterate on solutions addressing specific customer use cases, often exploring new technical grounds.

This role is for a Senior Manager of Customer Solutions Management within Amazon's Energy and Utilities sector. The primary focus is on accelerating cloud and AI adoption for customers, leading a team of CSMs, and guiding complex implementations. The role involves translating technical concepts into business outcomes, managing risks, building scalable mechanisms, and driving the adoption of Generative AI within the CSM function. While AI is a key focus for customer adoption and internal scaling, the role itself is not directly building AI models but rather enabling customers and internal teams to leverage AI solutions.

This role is for a Principal TPM at Amazon, focusing on leading initiatives related to Agentic AI and next-generation intelligent experiences for Alexa. The TPM will drive the development and integration of Generative, Agentic, and Real-time AI technologies, collaborating with cross-functional teams to deliver seamless user experiences. While the role involves working with advanced AI, the core responsibilities are program management, roadmap prioritization, and process improvement, rather than direct AI/ML model development or research.

Lead high scope technical projects in Intelligent Talent Acquisition (ITA) Data team, focusing on data strategy, design, and hands-on development of complex products, mentoring data engineers, and ensuring high-quality data provision. Partner with stakeholders to develop scalable interoperability solutions.

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.

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 audit teams, execute complex audits, and provide analysis and insights for optimization. It requires experience with ML data workflows and leadership.

Data Scientist III role focused on owning data science elements for products, including data-based decision making, product performance optimization, and tracking. Responsibilities include translating business problems into data requirements, designing and implementing analysis projects, owning analysis, modeling, and system design, and communicating results. Requires experience building statistical and machine learning models, performing complex data analyses with scripting languages, and communicating with stakeholders.

This role is a Senior Specialist Sales Representative for Independent Software Vendors (ISVs) focusing on Generative AI and Machine Learning within Amazon Web Services (AWS). The primary responsibility is to drive adoption and revenue growth of AWS's Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role involves consultative selling, building trust with various customer personas (Line of Business, Data Science, IT), and developing sales strategies. While the role is deeply involved with AI/ML services, the core function is sales and business development, not direct AI/ML model development or research.

Data Scientist III role focused on owning data science elements for products, including data-based decision making, product performance optimization, and tracking. Responsibilities include translating business problems into data requirements, designing and implementing scientific analysis projects, and developing data science solutions. Requires experience in building statistical and machine learning models, complex data analysis with scripting languages, and communication with stakeholders.

This role is a sales specialist focused on driving the adoption of AWS Generative AI services within the automotive and manufacturing industries. The primary responsibility is to understand customer needs, articulate the value of AWS AI solutions, and guide customers through the sales lifecycle from ideation to production. The role involves collaborating with account teams, solution architects, and partners to embed and deploy AWS Generative AI solutions, ultimately unlocking new value streams and solving business problems for customers.

Product Manager for AWS Private Pricing, focusing on tools and technology enhancements, including generative AI, to improve internal and external customer experience and drive growth. Owns the full product lifecycle for these tools.

This role is for a Sr. Technical Evangelist focused on the US Public Sector, specifically government and defense. The primary responsibility is to translate complex cloud and AI architectures into compelling narratives and presentations for public sector leaders, showcasing how AWS services, including AI, can transform their operations. The role involves creating and delivering technical content, engaging with government agencies, and acting as a public-facing evangelist. While AI is a key component of the value proposition, the role itself is not about building or shipping AI models, but rather about evangelizing their use within the public sector context.

This role is for a Principal Evangelist at AWS Startup Marketing, focusing on showcasing how startups can leverage AWS cloud and AI services to accelerate their growth. The individual will create and present technical content, lead engagements with startups and VC firms, and act as a public-facing evangelist. While the role involves discussing AI services and generative AI tools, the core function is marketing and evangelism, not direct AI/ML model development or deployment.