Amazon

Senior Solutions Architect for AWS Global Financial Services team, focusing on designing and implementing scalable cloud architectures for large financial institutions. The role involves advising senior stakeholders on cloud migration, cloud-native development, and AI adoption, partnering with sales teams, and contributing to the SA community through content and mentorship. The role touches on AI adoption and generative AI proof-of-concepts but is not primarily an AI development role.

This Principal PMT role at Amazon Ads focuses on leading product strategy and execution for a new product at the intersection of advertising and creator commerce, leveraging generative AI. The role involves building products that connect creators with advertisers to maximize earnings and performance, defining the product vision and roadmap for creator-powered advertising, and managing the end-to-end experience for both advertisers and creators. It requires operating across multiple dimensions, making trade-offs, and driving alignment across various teams.

Senior Solutions Architect role focused on helping enterprise customers build and migrate solutions on AWS, with a strong emphasis on AI/ML services. The role involves customer-facing technical discussions, workshops, and acting as a liaison between customers and engineering teams.

Senior Account Executive for AWS within the US Department of Defense, focusing on driving revenue and adoption of AWS services, including generative AI use cases. Requires understanding of customer missions, building executive relationships, and managing sales pipelines and contract negotiations. Must be a US Citizen with a Secret security clearance.

This role is for a Senior Frontier AI Partner Development Manager at Amazon Web Services (AWS). The primary focus is on building and managing relationships with startup Generative AI partners, driving their adoption of AWS services, and ultimately increasing revenue and market share for both the partners and AWS. The role involves developing joint go-to-market strategies, managing partner plans, setting revenue targets, and working with internal AWS teams and external customers. While the role is deeply involved with AI startups, the core function is partner development and sales, not direct AI/ML model development or research.

This role focuses on transforming brand enablement within AWS by leveraging AI-powered agents, automation, and self-service systems. The Sr. Brand Enablement Lead will design and deliver training programs, develop AI-driven resources, and govern vendor programs to ensure brand consistency at scale. It's a product-focused role aimed at building modern, scalable brand activation solutions.

This role is for a Senior Technical Account Manager at AWS who will help strategic customers maximize the value of AWS services, including Generative AI solutions. The role focuses on being a primary technical advisor and 'voice of the customer', guiding them through their cloud adoption journey, providing recommendations, and resolving operational challenges. It is not a sales role but a customer-facing technical support and advisory position.

Sr. Technical Program Manager for Amazon Customer Service, focusing on leveraging conversational AI and ML for self-service and automation. The role involves scoping, planning, and executing complex, cross-functional projects, partnering with engineering teams, and managing project lifecycles.

This role is for a Business Insights Analyst at Amazon Web Services (AWS) who will focus on data-driven decision-making. The analyst will be responsible for developing self-service reporting, conducting data analysis, building analytical tools, and delivering business insights. They will collaborate with data engineering and data science teams on data infrastructure and AI/ML models, but the core function is business intelligence and analysis, not direct AI/ML model development.

Product Manager, Technical role focused on driving the product strategy and delivery of AI-powered design automation solutions for AWS's global data center infrastructure. The role involves working at the intersection of Building Information Modeling (BIM), generative AI, and cloud-based platforms to transform data center design documentation creation, validation, and delivery.

This role is for a Sr. Product Manager - Technical to own and drive products within Amazon Private Brands Central (PBC), a product lifecycle management solution. The goal is to reduce time to market and enhance productivity by rethinking retail development and product management norms, with a focus on exploring how Gen AI can automate retail tasks and improve throughput. The role involves setting product vision, defining requirements, and building solutions from scratch, interacting with global stakeholders across various retail categories.

The AI Data Associate role focuses on foundational labeling tasks for generative AI and LLMs, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining confidentiality, delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to improve labeling quality and operational processes. The goal is to support the development and responsible deployment of AI by providing essential data.

The AI Data Associate role focuses on foundational labeling tasks for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining data quality, analyzing root causes of errors, and suggesting process improvements, all while adhering to strict confidentiality and Amazon's policies for responsible AI development.

The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining confidentiality, delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to enhance labeling quality and operational processes. The position requires C1+ French fluency and B2+ English proficiency, with a focus on analytical thinking, attention to detail, and structured problem-solving.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality.

The role involves foundational data labeling for generative AI and LLMs, including text, speech, audio, image, and video data. Responsibilities include maintaining confidentiality, delivering high-quality labeled data according to KPIs, using in-house tools, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, ability to make sound judgments, and proficiency in German.

This role is for a Senior Manager, Customer Success Specialist within AWS, focusing on the Amazon Connect service. The primary responsibility is to guide customers through their cloud adoption journey, ensuring they maximize the value of their Connect investment. This involves technical and business expertise, cross-functional team leadership, and driving customer success through adoption, retention, and expansion. The role leverages generative AI capabilities within Connect to improve customer and employee experiences.

This role is an AI/ML Specialist Solutions Architect focused on helping banking customers design and adopt GenAI solutions on AWS. The role involves understanding customer needs, designing solutions using AWS AI/ML services like SageMaker and Bedrock, and acting as a technical liaison between customers and AWS service teams. It emphasizes driving adoption, thought leadership, and providing customer feedback for product improvement.

This role is a Go-to-Market (GTM) Lead for AI solutions within the Federal Civilian sector for AWS. The primary focus is on driving sales strategy, pipeline development, and solution positioning, rather than directly building or researching AI models. The role involves understanding customer needs, translating complex AI technologies into tangible outcomes, and working with various internal teams and external partners to accelerate deal velocity and adoption of AI solutions in regulated government environments.

Manager for Aurora PostgreSQL team focused on performance engineering, leveraging AWS infrastructure and machine learning to optimize database performance and drive the roadmap for feature and performance improvements.

This role focuses on providing technical advocacy and architectural guidance to early-stage startup companies using AWS cloud services. The goal is to help these startups build scalable, secure, and cost-effective solutions as they grow. The role involves direct customer engagement, creating technical content, and advocating for customer needs with product teams.

Senior Product Manager (Tech) for Amazon Ads' Conversational Ad Experiences team, focusing on leveraging generative AI to revolutionize advertising. The role involves defining product strategy, driving technology choices, leading innovation, and managing the end-to-end delivery of AI-powered ad experiences for shoppers and advertisers in conversational contexts.

Software Development Engineer role focused on building and scaling data processing and machine learning infrastructure using open-source technologies like Ray and AWS services. The role involves designing, developing, and contributing to large-scale distributed systems and data platforms that support internal customers including ML specialists and research scientists.

This role is for a Business Intelligence Engineer on the GO-AI team within Amazon Robotics. The primary focus is on developing foundation models for complex visual reasoning tasks, but the role itself is centered around data analysis, ETL pipeline design, and dashboard creation to support leadership decision-making. While the team works with AI and foundation models, this specific role is more on the BI/data engineering side, using AI tools and insights rather than directly building or shipping AI models.

Software Development Engineer II on the RDS Telemetry Platform team at Amazon. This role involves building and operating infrastructure for collecting, ingesting, and routing database telemetry across the RDS fleet. The team develops automated engines using traditional and generative-AI techniques to detect performance anomalies, diagnose root causes, and provide tuning recommendations. The role requires developing products that capture and store telemetry, and exploring solutions to leverage this data for database performance optimization and security threat detection. It emphasizes solving complex engineering challenges in distributed systems at massive scale, with a focus on reliability, efficiency, and fault tolerance. Experience with ML/LLM fundamentals is preferred.

Senior Technical Program Manager for the Featured Merchant Algorithm (FMA) team at Amazon, responsible for algorithms and services that power offer selection on the retail platform. The role involves leveraging AI/ML and big data to rank and select the best offer for customers, driving a significant portion of Amazon's product sales. The TPM will collaborate with stakeholders, engineers, PMs, and scientists to deliver new features, shape strategy, manage complex programs, and communicate progress to senior leadership.

Support Engineer role focused on Linux systems administration, troubleshooting, and operational support within AWS Region Services. The role involves interacting with engineers, leveraging Linux and technical experience, driving service team communication, and improving support processes. It also includes writing technical articles, coaching new hires, and developing tools. A key aspect is using internal AI systems for problem-solving and diagnosis, but the core function is technical support and operational excellence in a secure cloud environment.

The Principal Developer Advocate will be the external face of AWS in ML hardware acceleration, focusing on AWS Trainium and the Neuron SDK. This role involves creating content, speaking at conferences, engaging with the ML developer community, and building partnerships to drive awareness and adoption of AWS's ML hardware solutions. The ideal candidate has a background in software engineering, ML research, or systems performance, with a passion for open-source AI and hardware-software co-design.

This role focuses on driving the adoption of Amazon Bedrock, a generative AI service, through strategic partnerships. The specialist will develop and execute go-to-market strategies, working with partners to build Bedrock-powered solutions and position AWS for enterprise generative AI workloads. The role requires a blend of strategic thinking, technical understanding of generative AI, and business development acumen, with an emphasis on partner-led revenue growth.

Product Manager for Selling Partner Services at Amazon, focusing on leveraging Generative AI and ML to improve listing content generation for sellers. The role involves defining product vision, driving roadmap strategy, and collaborating with engineering and UX teams to deliver AI-enhanced solutions.

Manager of Data Engineering to lead a team building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The team will build multi-agent solutions to automate data engineering tasks and use generative AI tooling daily. The role involves partnering with BI, applied science, and product teams, and contributing to shared platform infrastructure.

The AI Data Associate role focuses on foundational labeling tasks for AI development, including dialogue evaluation across various data modalities (text, speech, audio, image, video). The role requires delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to improve labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) at Amazon.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs. The role involves working with various data types, delivering high-quality labeled data using in-house tools, and analyzing root causes to improve labeling quality.

Software Development Engineer in Test focused on AI-enhanced automation for camera SDKs, aiming to improve test frameworks, efficiency, and defect detection in embedded systems.

This role is for a Sr. Sales Specialist focused on Generative AI and Machine Learning within Amazon Web Services (AWS). The primary responsibility is to drive the adoption of AWS's AI/ML and Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role involves full-cycle sales, from lead identification to revenue realization, and requires building trust with various customer personas. While the role is deeply involved with AI/ML services, it is a sales function, not a hands-on building or research role.

Software Development Engineer role focused on building AI Agents and APIs for Amazon's advertising platform to improve campaign planning and impact for advertisers. The role involves designing and implementing scalable systems, working across the full software development lifecycle, and collaborating with data scientists and product managers.

Group Manager for Just Walk Out Technology, focusing on people management, site management, and driving process improvements within a team that leverages computer vision, sensor fusion, and machine learning for automated checkout experiences.

Software Development Engineer role at Amazon Advertising focused on building scalable ad serving systems that leverage LLMs for personalized ad experiences. The role involves developing and launching these systems, partnering with various teams, and working with the latest technologies in search, advertising, and e-commerce.

Program Manager for a Workforce Management team focused on labor forecasting for grocery stores. The role involves contributing to forecasting strategy, roadmap execution, and delivery, supporting capacity planning and operational decision-making. It requires a systems thinker with expertise in workforce forecasting and the ability to drive alignment across stakeholders. The role will leverage AI/ML to improve forecast accuracy and automate processes, and will partner with Finance for long-range forecasting and financial planning.

This role is for a GenAI/ML Specialist Solutions Architect at AWS, focusing on driving the adoption of AWS GenAI/ML services for large enterprise customers in the UKI. The role involves providing deep technical expertise, designing solutions, acting as a trusted advisor, leading architectural reviews, and contributing to product feedback. It requires a strong understanding of Generative AI and Machine Learning services, enterprise-grade architectural strategies, and the ability to translate complex technical concepts into business value.

This role is for a Program Manager, Tech Subject Matter Expert (SME) in Amazon Logistics (AMZL) Last Mile network. The SME will partner with technology and operations teams to prioritize, develop, optimize, and sustain technology and processes. While the role mentions leveraging AI and ML to transform decision-making and automate human decisions, the core responsibilities focus on program management, process improvement, defining business requirements, and driving adoption of technology solutions. The role does not involve directly building or shipping AI/ML models or systems, but rather influencing and managing the integration of technology, including AI/ML-powered tools, into the operational workflow. Therefore, it is considered AI-adjacent.

Software Development Engineer to build high-performance, globally scalable AI-based Financial systems, partnering with science teams to build customized ML models and integrate with Generative AI models. Focus on designing and developing services for global financial transactions using AWS cloud platform.

Software Development Engineer I (SDE I) role focused on building Gen AI solutions for freight logistics, including carrier-facing features and internal tools to boost developer productivity. The role involves leveraging AI technologies like Agentcore and Bedrock within Amazon's middle-mile network to optimize pricing, manage capacity, and enhance carrier engagement.

Director of Technology for AWS Israel, responsible for technical sales leadership, shaping cloud and generative AI adoption, partnering with customers and internal teams to design scalable cloud architectures, and leading a team of Solutions Architects. The role involves influencing technical strategy, engaging with C-suite executives, and driving digital transformation and cloud adoption.

Senior Solutions Architect for AWS ISV team, focusing on helping top software companies accelerate their global innovation journey by leveraging AWS Cloud capabilities, particularly in Data, Analytics, and Generative AI. The role involves owning the technical relationship with customers, providing strategic guidance, designing cloud-native reference architectures, and driving adoption of AWS services.

This role focuses on content strategy and development for Amazon's employee amplification program, with a significant emphasis on leveraging and refining generative AI tools for content creation. The specialist will own content creation, messaging, and quality, ensuring alignment with brand guidelines and driving hiring outcomes. Key responsibilities include managing the content library, developing AI content prompts and outputs, creating targeted campaign content, crafting executive messaging, coordinating PR content, developing self-serve templates, localizing content, and measuring performance. The role requires a blend of creative storytelling, operational discipline, and analytical rigor, using AI tools to build scalable content systems while maintaining authenticity.

This role focuses on working with early-stage startups and venture capital firms to accelerate their success on AWS, leveraging deep technical understanding of cloud and emerging technologies like generative AI. The Senior Startup Investment Manager will identify opportunities, develop initiatives, and ensure startups have the necessary support to build products on AWS infrastructure.

This role is for a Sr. Solution Architect focused on Generative AI for startups within AWS. The primary responsibility is to guide early-stage startup companies in deploying scalable and secure cloud architectures, acting as a trusted advisor. While the role involves working with AI technologies and advising customers on their use, the core function is not building or shipping AI models but rather enabling startups to leverage AWS services for their AI initiatives. The role also includes advocating for product needs and creating technical content.