Amazon

Software Development Manager for Alexa Audio, focusing on building and scaling audio experiences for Alexa-enabled devices. The role involves leading a team of software engineers, setting technical vision, and partnering with product management to leverage Generative AI and LLM capabilities for customer-facing audio features.

This role is for a Sr. Principal Scientist focused on Stores Economics and Science at Amazon. The scientist will work with ML scientists to validate models, translate analysis into business actions, and manage data analysis and modeling. The team uses economics, statistics, and ML to understand Amazon's economy and aims to drive AI adoption across the company.

This role focuses on designing and delivering production-grade AWS architectures that integrate generative AI capabilities, including foundation models and agentic patterns, to solve complex business challenges for enterprise customers. The Solutions Architect acts as a trusted technical advisor, influencing customer technology strategy and driving adoption of AWS AI services.

Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams.

Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams.

Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams.

This role is for a Senior Technical Program Manager on the Amazon Ads Sponsored Products and Brands team. The primary focus is on managing projects related to generative AI technologies in advertising, from inception to deployment and improvement. The role involves coordinating across product, science, and engineering teams, driving efficient project execution, and recommending technical approaches. While the team works with GenAI and the role involves using GenAI tools, the core responsibilities are in program management and product delivery, not direct AI/ML model development.

Seeking an experienced software development manager to lead a new organization focused on simplifying and accelerating the software development experience for AWS engineers using GenAI and advanced AWS technologies. The role involves building services and tools to reduce friction, developing a strategic roadmap, and pioneering AI-powered builder experiences.

This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure.

Data Engineer role focused on building and optimizing data models and end-to-end data pipelines using AWS services for Amazon Publisher Monetization. The role involves implementing data solutions for human analysts and AI-powered tools, ensuring data quality, and collaborating with stakeholders to deliver data products. It also mentions leveraging LLMs and generative AI for development workflows and contributing to automated data infrastructure.

This role is for a Senior Product Manager focused on enhancing the shopping experience for Spanish and French-speaking customers in North America. The role involves identifying gaps in the customer journey, driving solutions, and envisioning innovative experiences leveraging AI/ML and generative AI. The primary focus is on delivering improved customer experiences within the consumer domain, with AI/ML being a tool to achieve product goals rather than the core craft of the role.

This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure.

This role focuses on building solutions to support the governance and security of agents, and converting the platform to an agentic-first interface. It emphasizes leveraging Generative AI tools and AI-assisted development environments to accelerate various stages of the software development lifecycle, including prototyping, development, validation, testing, and documentation synthesis. The role also requires an understanding of the responsible use of GenAI in security-sensitive environments.

This role is for a Sr. AI & Emerging Tech Specialist on the AWS National Security Emerging Technology team, focusing on supporting US Defense and Intelligence customers. The primary responsibility is to develop customer use cases, drive adoption of emerging technologies like generative AI, and shape go-to-market strategies. The role involves collaborating with account teams, understanding customer mission needs, and operationalizing AI at scale in secure environments. It requires a strong sales focus and the ability to negotiate and close complex AI and emerging technology opportunities.

Senior Product Manager for Amazon Global Logistics, focusing on pricing and revenue management systems. The role involves defining product strategy, designing pricing mechanisms, partnering with data science on ML models, and driving cross-functional initiatives to deliver end-to-end pricing solutions. The team is building pricing systems from the ground up.

UX Manager for Amazon Ads on Devices (Fire TV, Fire Tablet, Alexa, Echo) responsible for end-to-end advertising experiences. The role involves owning design strategy, driving cross-publisher alignment, and integrating AI into the design process to accelerate delivery and unlock creative possibilities. Focus on shipping high-quality, native ad experiences that respect customer experience and deliver advertiser results.

UX Manager for Amazon Ads, leading a team to create display advertising experiences. The role involves integrating AI into the design process to accelerate delivery and enhance quality, focusing on shipping high-quality experiences on time and at speed.

This role focuses on designing and implementing AI solutions for pharmaceutical customers within AWS, specifically leveraging agentic AI applications across the clinical trial lifecycle. The role involves collaborating with sales and delivery teams to ensure successful solution implementations and acting as a trusted advisor on emerging technologies. While AI is mentioned, the core function is solution architecture and customer engagement within the healthcare domain, not direct AI model development.

Software Development Engineer role focused on designing, architecting, and implementing machine learning solutions for audio ad systems at Audible. The role involves optimizing ad serving pipelines, real-time ad serving, and conversational AI integration, with a focus on scalable systems and customer experience.

Solutions Architect role focused on driving enterprise AI and agentic adoption by helping customers design and scale multi-agent workflows, generative AI applications, and AI-powered automation on AWS. This role involves guiding organizations through cloud migration and modernization, accelerating deployment from experimentation to enterprise-wide, and working with sales and partner networks.

Data Engineer II role focused on designing, building, and evolving data capabilities for Sales Planning and Compensation (SPC) within AWS. The role involves end-to-end data solutions, including ingestion, transformation, and analytics, with an emphasis on incorporating generative AI practices to enhance efficiency and decision-making. Key responsibilities include developing data pipelines, building data models, optimizing infrastructure, and leveraging AWS GenAI services like Amazon Bedrock and Amazon Q.

Software Development Engineer role focused on applying AI/ML to complex business problems within the Vendor Funding team at Amazon. The role involves leveraging generative AI tools to enhance workflow efficiency and integrate AI solutions into products and services to drive business value. While the company is exploring AI integration, the core responsibilities are in software development and applying existing AI tools rather than building core AI models.

This role focuses on creating technical content (tutorials, guides, demos) to help developers understand and adopt AI-assisted development tools, specifically Amazon Q Developer. The goal is to improve developer productivity and showcase practical workflows. It involves hands-on coding, community engagement, and influencing product roadmaps based on developer feedback, but has no sales quota or revenue targets.

Software Development Manager for Prime Video's Title Lifecycle Presentation & Science team. This role leads a team of engineers and applied scientists responsible for presenting content to customers, using applied science, experimentation, and data signals. The manager will own team execution, delivery, technical direction, drive experimentation, manage ML-powered feature delivery, and navigate cross-team dependencies. Requires experience leading combined engineering/science teams, delivering through experimentation, managing dependencies, and strong technical judgment in distributed systems and ML productionization.

Director of AWS Database, Analytics & Storage Solutions Architecture leading a global team to drive technical customer engagement, solution design, and adoption across AWS's data portfolio, with a focus on preparing data for the agentic AI era and leveraging AI/agentic technologies to enhance SA effectiveness.

Product Marketing Manager for AWS, focusing on AI app and agent building products like Amazon Bedrock. The role involves translating complex cloud solutions into customer value, shaping product strategy, developing messaging, and acting as a product evangelist. Requires a blend of technical and business strategy skills to influence product roadmaps and drive go-to-market strategies for AI offerings.

This role is for a Legal Program Manager at Twitch, responsible for managing legal compliance initiatives and driving the adoption of AI-powered solutions within the legal team. The role involves planning, coordinating, and tracking initiatives, translating legal recommendations into actionable workstreams, and facilitating stakeholder meetings. While the role focuses on deploying AI tools, it is not a core AI/ML development role.

Sr. Technical Program Manager for Amazon Customer Service, focusing on scoping, planning, and execution of complex, cross-functional projects. The role involves partnering with engineering teams to deliver self-service automation products based on generative AI, aiming to empower customers to resolve issues quickly and efficiently.

This role is for a Senior Strategic Supply Chain Manager at Amazon Private Brands. The primary focus is on owning supply chain strategy and execution for import-heavy portfolios, optimizing availability, speed, and operational excellence. Key responsibilities include managing inventory health, auditing buying and forecasting models, driving process improvements, and identifying cost optimization initiatives. The role involves partnering with global and cross-functional teams, leveraging data-driven decision making, and utilizing AI-powered tools for monitoring and automation. While AI tools are used, the core craft is supply chain management, not AI/ML model development.

Software Development Manager for Amazon's Merch on Demand business, leading a team responsible for the Merch Portal and Kit Your Team programs. The role involves managing engineers, owning technical vision, driving expansion into new markets, and operating large-scale production systems. While the team utilizes AI for store creation, the core focus is on product development and management of existing large-scale systems.

This role is for a Senior Product Manager - Tech at Amazon, focusing on Cross Border and International Expansions. The core responsibility is to drive product strategy, roadmap planning, and end-to-end execution for complex initiatives. While the role is primarily product management, it explicitly mentions leveraging generative AI tools to enhance workflow efficiency, craft prompts, evaluate AI outputs, and integrate AI solutions into products and services, indicating an AI-adjacent function.

This role involves working with early-stage generative AI startups to help them leverage AWS technology for developing, training, tuning, and deploying foundation models. The role requires providing technical guidance, architecting solutions, supporting the adoption of AWS services, and advocating for customer needs with product teams. It also involves creating technical content and presenting at events.

This role focuses on building Business Intelligence solutions, including AI-powered agents and dashboards, to drive operational excellence and automate processes within Amazon's HR and AWS Region Services. It involves data engineering, ETL pipeline development, and leveraging AI/ML use cases to enhance workforce analytics and reporting.

This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The Senior Startup Investor Manager will leverage technical understanding of cloud and emerging technologies like generative AI, combined with business acumen, to identify opportunities and ensure startups have access to the necessary resources to build products on AWS. The primary focus is on supporting initiatives between the investment community and AWS to help startups grow.

Product Marketing Manager for Amazon credit cards, leading content optimization (A/B testing) on a proprietary ML advertising platform. Responsibilities include owning a roadmap, building tests, scaling learnings, and improving customer conversion across the acquisition funnel. This role involves partnering with marketers, data scientists, designers, and product managers, with a focus on regulatory and compliance requirements.

This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. The Ontologist will create semantically rich data models, ensure machine ingestion and inference capabilities, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience by understanding customer intent and product data.

This role is for a Sr. Solutions Architect in Healthcare & Life Sciences (HCLS) at AWS. The primary focus is on designing and architecting cloud solutions for HCLS customers, with a significant emphasis on leveraging Artificial Intelligence, Machine Learning, and Generative AI to address industry-specific challenges and accelerate adoption of AWS services. The role involves customer-facing technical design guidance, prototyping, and supporting migration efforts, with a specific mention of building Generative AI prototypes for drug discovery.

This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focused on the Healthcare industry. The primary responsibility is to help healthcare providers implement innovative cloud computing and AI solutions, solve technical problems, and enhance patient and clinician experiences. The role involves owning technical engagements, defining implementation architectures, responding to RFPs, and acting as a subject matter expert on security. While the role involves working with AI solutions, the core craft is not building AI models but rather architecting and implementing cloud solutions that leverage AI for healthcare clients.

This role focuses on designing and implementing cloud architectures, particularly leveraging AI/ML and Generative AI, for Healthcare and Life Sciences customers on AWS. The Solutions Architect will build prototypes, provide technical guidance, and create reference architectures to accelerate customer adoption of AWS services in the HCLS domain.

Senior Solutions Architect for Healthcare & Life Sciences (HCLS) at AWS, focusing on designing and delivering cloud architectures that leverage AI/ML and Generative AI for HCLS customers. The role involves customer engagement, building prototypes, educating customers on AWS capabilities, and staying current with emerging AI/ML technologies to provide guidance and reference architectures. It also includes collaborating with account management, professional services, and product teams.

Program Manager for Amazon's Ring and Blink Customer Experience and Insights Team, focusing on AI-driven transformation. The role involves leveraging generative AI and machine learning to identify and resolve customer contact drivers, improve customer experience, and drive automation. Responsibilities include AI strategy, program management, stakeholder engagement, and mentoring junior team members on AI adoption.

This role focuses on working with early-stage startups to help them leverage AWS technology at scale, including deep learning and generative AI. The Solutions Architect will provide technical strategy, design solutions, serve as a trusted advisor, and advocate for customer needs with product teams. The role also involves creating technical content and presenting at events.

Software Development Engineer role focused on building scalable, multi-tiered software applications for Global Real Estate and Facilities Tech at Amazon. The role involves designing and developing systems, leading engineering best practices, driving architectural decisions, and implementing innovative solutions. While the team uses a GenAI-forward approach including AI pair programming and spec-driven code generation, and the candidate is expected to use generative AI tools to enhance workflow efficiency and integrate AI capabilities into products, the core craft of the role is software development for real estate management systems, not building core AI models or agents.

This role focuses on building and maintaining production-grade causal inference and machine learning systems for marketing attribution within Amazon's advertising ecosystem. The Data Scientist will own end-to-end modeling pipelines, from problem formulation and experimental design to model development, productionization, and stakeholder communication, aiming to measure marketing effectiveness and drive advertiser growth.

This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design to enable machine learning execution. The primary focus is on the low-level software that drives the hardware for ML inference.

This role is for a Sr. Technical Program Manager focused on AI/ML hardware, specifically server and rack delivery for accelerator silicon like Trainium. The role involves program managing the design, implementation, and integration of new server generations, working with cross-functional teams (hardware, silicon, firmware, software), and ensuring high-quality hardware and software systems for AI/ML workloads. While the hardware supports AI/ML, the core function is program management of hardware development, not direct AI/ML model building or research.

Software Development Engineer for AWS Identity team to build products combining automated reasoning and technology for IAM Access Analyzer, recommending access control for AWS customers. Focus on designing scalable solutions, delivering customer-facing functionality, and leading projects using data analysis and machine learning techniques.

Data Scientist III role focused on building and deploying machine learning models for customer segmentation, personalization, and optimization in a consumer retail setting. The role involves applying causal inference, LLMs, and advanced optimization techniques to drive evidence-based decisions and improve customer experiences across various channels. Collaboration with engineering for data pipelines and serving infrastructure is key, with a focus on translating analytical results into actionable business strategies.