Amazon

Software Development Engineer to build cloud services and tools that streamline firmware testing for Ring and Blink device software teams. The role involves integrating these services with firmware teams, including those building agentic workflows, and applying generative AI for test analysis and developer workflows.

Account Executive for AWS Enterprise Sales in New Zealand, focusing on driving adoption of AWS services, including Generative AI and agentic AI, to accelerate digital transformation and business growth for strategic enterprise accounts.

Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. The role involves providing technical expertise, guidance on industry trends, and leading project delivery to ensure customer success in their cloud journey. While AI tools for development productivity are mentioned, the core function is cloud solution delivery and customer consulting, not direct AI/ML model development.

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.

Software Development Engineer role focused on building and evolving a new confidential advertising program using generative AI technologies within Amazon Ads. The role involves prototyping, developing real-time and big data systems, and collaborating with scientists and economists on ML-based approaches to improve advertising experiences.

Software Development Engineer II role focused on building innovative automated solutions for FinTech customers, leveraging AWS cloud, machine learning algorithms, and distributed systems. The role involves driving architectural decisions, developing distributed services, and ensuring scalability and reliability.

This role supports Machine Learning (ML) models and classification algorithm development by performing data annotation, ensuring high-quality annotated data for training and evaluation, and collaborating with product, technology, and science teams. The focus is on data preparation for ML models.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation, supporting data scientists, and ensuring high-quality annotated data for training and evaluation.

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 is for a Senior Solutions Architect at AWS, focusing on helping enterprise customers in India with their digital transformation journeys using AWS services. The role involves designing cloud architectures, providing technical leadership, and driving revenue growth by understanding and implementing advanced cloud solutions. While the role touches upon various technologies including machine learning and analytics, its core function is in cloud architecture and solution implementation, not direct AI/ML model development.

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.

Senior Customer Success Specialist for Amazon Connect, a CCaaS solution leveraging generative AI. This role focuses on driving customer adoption, managing strategic accounts, and achieving revenue targets by acting as a strategic advisor and leading cross-functional teams. Requires experience in CCaaS or similar SaaS solutions and a passion for customer experience.

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.

Software Development Engineer role focused on building backend systems for Ring devices, with an emphasis on low-latency and high-uptime. The role involves designing, implementing, and testing distributed systems and microservices, with a secondary mention of leveraging generative AI tools for development productivity.

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.

Senior Solutions Architect for AWS in Switzerland, focusing on enterprise financial services customers. The role involves leading technical strategy, designing scalable and compliant architectures, and guiding customers in adopting agentic AI workloads, generative AI applications, and intelligent automation. Responsibilities include technical thought leadership, mentoring, and contributing to the AWS knowledge base with best practices and reference architectures for AI/ML implementations and agentic patterns.

Solutions Architect for AWS focusing on enterprise customers in the Retail and Consumer Goods industry. The role involves designing, building, and refining technical solutions, with a focus on applied AI and cloud-based software. Responsibilities include customer interaction, architectural design, and sharing best practices. Experience with Generative AI and agentic AI solutions is preferred.

Software Development Engineer III (Level 6) for Alexa Smart Home, focusing on designing, developing, testing, and deploying cloud services that streamline connectivity between Alexa-enabled devices and the Alexa Cloud. The role involves leading technical design, architecting scalable services for billions of devices, and contributing to the evolution of Alexa into an intelligent home companion. Experience in leading technical projects, mentoring junior engineers, and working across various components like Alexa skills, voice user interfaces, and IoT devices is expected. The role aims to improve customer experiences in the smart home environment.

Intern role focused on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data, analyzing error patterns, and proposing solutions to enhance labeling quality.

The role involves evaluating and labeling various data types (text, audio, image, video) to improve AI quality and support AI development. It includes generating human judgment data, monitoring harmful content generated by AI, and managing data security. The role also focuses on quality control, proposing solutions for improvement, and supporting AI development by making appropriate judgments with incomplete information. Translation of guidelines is also a responsibility. The role requires native-level Chinese or Korean and business-level Japanese or English.

This role is for a ProServe Cloud Architect on AWS Professional Services in Taiwan. The architect will design, architect, and implement cloud solutions on AWS for customers, acting as a trusted technical advisor. Key responsibilities include solution architecture, customer engagement, cloud migration, conducting Well-Architected Reviews, technical delivery, advising on emerging technologies like generative AI, and supporting pre-sales efforts. The role requires strong AWS expertise and experience in IT architecture and cloud solutions, with exposure to AI/ML services being a preferred qualification.

This role is for a Senior Solutions Architect within Amazon's AWS WWPS DOD sector, focusing on the Air Force. The primary responsibility is to help U.S. Department of War customers implement innovative cloud computing solutions using AWS services. The role involves owning technical engagements, defining architectures, responding to RFPs, and acting as a subject matter expert on security. While generative AI is mentioned as a helpful experience area, the core of the role is cloud architecture and consulting for defense clients, not direct AI/ML model development.

This role focuses on developing and driving Go-To-Market (GTM) strategies for AWS partners, particularly in the Generative AI space. The objective is to activate partners against demand signals, build their capabilities on AWS, and accelerate co-sell initiatives to drive incremental revenue. The role involves working with ISVs and SIs to build and test GTM strategies, promote partners and their solutions, and gather feedback to improve the partner and customer experience.

Software Development Engineer role focused on building and delivering automation solutions for Amazon's Retail Business Services (RBS). The role involves designing and developing large-scale distributed systems that leverage Machine/Deep Learning and LLMs to solve complex business problems related to selection, defect elimination, and operational processes. The engineer will work with applied scientists to build robust platforms and drive continuous improvements in engineering and operational excellence.

This role focuses on driving data-driven decision-making and operational excellence for the AWS Specialist and Partner organization within AWS Industries. The Specialist Strategy & Sales Operations Lead will act as a strategic business partner, translating complex data into actionable insights, shaping strategic direction, and managing mission-critical frameworks like territories, quota, and forecasting. A key aspect of the role involves leveraging AI and ML technologies to enhance sales processes and decision-making, ensuring responsible implementation to drive business impact and augment the sales organization's productivity.

This role is a business-focused technologist who partners with customers and internal AWS teams to develop strategies and roadmaps for leveraging generative AI and machine learning to enhance business outcomes. The role involves understanding customer needs, identifying opportunities, and driving adoption of AWS AI services, with a strong emphasis on connecting business value to scalable solutions.

This role is for a Sr. Technical Program Manager to lead a CRM initiative focused on customer behavior analytics. The program aims to revolutionize customer understanding and engagement using data science, machine learning, and personalization technologies. The TPM will drive technical strategy, roadmap, and execution of cross-functional projects, collaborating with various teams to deliver innovative customer experiences and drive business growth. While the role involves working with data science and ML, it is primarily a product/program management role focused on delivering customer-facing features and business impact, not core AI/ML model development.

Economist role focused on applying economic methods, statistics, and machine learning to improve business processes and employee well-being. Involves estimating models, designing experiments, and transforming prototypes into scalable solutions, working closely with engineers and computer scientists.

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 is for a Startup Account Manager at AWS, focusing on driving growth and revenue within well-funded, high-potential startups. The position requires strong sales acumen, knowledge of the startup ecosystem, and familiarity with AI/ML. Responsibilities include achieving sales quotas, crafting partnerships, accelerating service adoption, and building strategic relationships with key accounts and influencers. The role involves close collaboration with internal teams and business development to execute go-to-market strategies.

This role is for a Senior Product Manager, Technical at Amazon, focused on transforming the global promotions and events experience for millions of customers. The role involves leading a new initiative, defining product roadmaps, designing experiments, and working with technical teams to deliver scalable solutions. While the role mentions using generative AI tools to enhance workflow efficiency and identifying opportunities for AI to enhance products, it is not core to the role's responsibilities, which are primarily product management and strategy for customer-facing promotions.

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.

Software Development Engineer II for Global Transportation Tech Services (GTTS) at Amazon, focusing on building and managing the software platform for Amazon's outbound transportation network. The role involves designing network capacity, predicting gaps, responding to disruptions, and developing new greenfield products. It utilizes AWS services, big data processing, optimization algorithms, machine learning models, and GenAI. The position requires operating at all levels, providing strategic inputs, driving project execution, and talent development.

Software Development Engineer role focused on building and delivering automation solutions for Amazon's Retail Business Services (RBS). The role involves designing and developing large-scale distributed systems that leverage Machine/Deep Learning and LLMs to solve complex business problems related to selection, defect elimination, and operational processes. The engineer will work with applied scientists to build robust platforms and drive continuous improvements in engineering and operational excellence.

This role focuses on driving the enterprise-scale adoption of Amazon Quick, an AI-powered assistant. The Sr. Technical Architect will define and maintain reference architectures, build sprint readiness assessments, and drive technical quality across teams. They will also act as a bridge between field delivery and the product organization, translating customer blockers into requirements and coordinating engineering requests. The role involves developing technical underpinnings for workforce transformation, including workload patterns, transition criteria, and success metrics dashboards, all within the framework of the "Live in 45" methodology.

This role is for a Senior Business Intelligence Engineer focused on Sales Planning & Policy within AWS. The primary responsibilities involve working with large datasets, writing SQL queries, building data models with Python, and partnering with business owners to integrate ML/GenAI into scaling programs. The role emphasizes data analysis, reporting, KPI definition, and driving business decisions through insights. While the role mentions integrating ML/GenAI, its core function is BI engineering and data analysis, not direct AI/ML model development.

Product Manager for Amazon's AI shopping assistant (Rufus), focusing on expanding its content and category expertise in international markets. The role involves improving knowledge base, enhancing search capabilities, ensuring local relevance, designing new content-led experiences, and driving experimentation to optimize content strategy. It requires collaboration with regional stakeholders and technical teams to deliver world-class AI-powered shopping experiences globally.

This role focuses on designing and developing learning modules using AI tools and methodologies to accelerate content creation and transform learning experiences for associates. The primary goal is to create AI-enhanced learning solutions that impact a large number of users.

Data Engineer II role at AWS Professional Services focused on building and scaling data products, including AI/ML and generative AI tools, for enterprise customers. Responsibilities include developing ETL pipelines, data models, and data integration using SQL, Python, and AWS services, with a focus on scalability, automation, and platform reliability.

This role is for an AI & Emerging Tech Specialist within Amazon Web Services (AWS) National Security Emerging Technology team. The primary focus is on sales and customer engagement, developing use cases, driving adoption, and shaping go-to-market strategies for emerging technologies like generative AI and ML within US Defense and Intelligence agencies. The role requires a strong understanding of customer mission needs and the ability to leverage AWS services to create solutions. It involves collaboration with account teams, engineering leaders, and product teams, and requires a high-level security clearance.

Digital Marketing Manager responsible for designing, testing, and scaling paid media campaigns to drive new seller acquisition for Amazon. This role involves managing paid search campaigns, executing experiments, optimizing based on performance analysis, and contributing to strategic initiatives. The ideal candidate can operate at both strategic and tactical levels, leveraging data-driven decisions to improve customer acquisition and campaign performance.

This role focuses on leveraging advanced data analysis and AI tools, including agentic AI systems, to detect and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, analyze complex datasets, identify risks and gaps in existing mechanisms, and develop scalable solutions to endemic problems. The role requires strong analytical skills in SQL and Python, experience with AI tools, and the ability to manage projects from identification to solution scaling.

Product Manager Technical role focused on the Personal Information Domain product vision, strategy, and roadmap for Amazon's global workforce onboarding experience. The role involves defining how personal information is collected, stored, validated, and distributed, leveraging AI/ML for data quality automation and identity validation. It requires collaboration with engineering, legal, and compliance teams to drive self-service experiences and a centralized data platform.

Software Development Engineer II role focused on building customer service tooling and AI agentic workflows for online fashion retailers. The role involves developing critical services, leveraging AI tools to augment work, and building AI agents for customer service scenarios, impacting millions of customers.

Data Platform Engineer for Fauna Robotics, focused on building foundational data systems for robotics and ML development. This role involves designing and implementing infrastructure for data collection, storage, processing, and transformation from robot sensors, video, and logs, enabling ML training and fleet performance monitoring.

Product Marketing Manager for Amazon Connect, focusing on enterprise AI and generative AI solutions. The role involves shaping go-to-market strategy, developing positioning and messaging, creating technical content, and driving field enablement for AI chat, research agents, workflow automation, and analytics capabilities.