This role is for a Senior GenAI Security Consultant who will embed directly with Forward Deployed Engineering (FDE) teams to build and implement secure GenAI solutions. The focus is on hands-on coding and architecture to ensure security by design, rather than a strategy role. Responsibilities include co-developing solutions, enforcing security standards, architecting and implementing controls, translating requirements into code, and serving as a technical security authority. The role also involves building innovative GenAI-powered security solutions and contributing to thought leadership.

This role focuses on developing and optimizing AI-driven conversational shopping experiences using ML, NLP, and multimodal technologies. The Data Scientist will work on agentic systems, information retrieval, recommender systems, and multimodal LLMs to improve customer journeys, analyze experiments, and collaborate on deploying production systems. The role involves handling large-scale data and contributing to both agent capabilities and the underlying inference infrastructure.

Applied Scientist II role focused on developing and deploying sophisticated AI solutions for Amazon's Strategic Account Services (SAS) organization, leveraging deep learning, LLMs, and advanced ML techniques to improve seller operations and internal consultancy. The role involves end-to-end development from research to production, including architecting recommendation and optimization systems, pioneering applications of foundation models, and conducting rigorous A/B experiments.

Economist II role focused on causal inference and machine learning for Prime Video Ads, involving experiment design, model building, and translating findings into business decisions. Requires a quantitative approach and end-to-end model implementation.

This role focuses on leveraging Gen AI and multi-agent systems to revolutionize hiring processes at Amazon. The Data Scientist will develop and deploy ML models for anomaly detection, root cause analysis, and candidate quality optimization, aiming to improve efficiency and reduce defect detection time. The role involves working with AWS infrastructure and designing experiments to evaluate system stability and attract top talent.

Senior Applied Scientist role focused on developing machine learning algorithms for high-scale recommendations problems within Prime Video. The role involves designing, prototyping, and integrating ML models into production systems, with a focus on generative AI and large models to reduce operational load and deliver personalized recommendations.

Software Development Engineer to build and improve a generative AI-powered shopping assistant (Rufus) for millions of Amazon customers, focusing on product research, comparisons, and recommendations.

This role focuses on building next-generation software verification tools by combining AI, cloud computing, and formal methods. The scientist will explore generative AI techniques for formalizing requirements, generating tests, and repairing proofs, and will work on agentic systems to ensure AI agents operate within safety boundaries.

The role is for a Senior Manager of Software Development focused on building next-generation Agentic security systems at Amazon. The position involves leading teams to create AI-powered security products from the ground up, working at the intersection of AI and security at a large scale. The manager will collaborate with security, engineering, and science leaders, and shape products that transform business security practices.

Applied Scientist role focused on building machine learning and optimization models for Amazon's large-scale transportation planning systems, including dynamic pricing and network planning. The role involves designing, building, and implementing scalable products and algorithms within production systems, with a focus on external freight and marketplace operations.

The role involves designing and implementing machine learning models for recommendation systems to improve Amazon's talent acquisition processes. It focuses on building ML products that match job seekers with opportunities and recruiters with talent, operating at a global scale. The work involves representation learning, reinforcement learning, and probabilistic modeling, with an emphasis on fairness and explainability.

This role focuses on curating and evaluating content to train and optimize AI models for conversational shopping experiences in new marketplaces and languages. It involves defining guidelines, ensuring response quality, analyzing errors, and creating frameworks for prompt tuning and management. The role also guides the development of automation and internal tools for editorial curation and evaluation, collaborating with product, science, and engineering teams.

The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required.

The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required.

The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required.

MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and implementing state-of-the-art solutions for complex problems, potentially leading to production deployment and publication.

This role is for a Sr HRBP in Amazon's EU Business Finance organization, focusing on HR strategy, organizational effectiveness, change management, and leadership coaching. While the role encourages the adoption and strategic application of AI tools within HR to enhance effectiveness, improve decision-making, and streamline processes, the core responsibilities do not involve building or shipping AI/ML models or systems. The primary focus is on HR strategy and people initiatives, with AI tools being a means to enhance these HR functions.

This role focuses on driving the adoption of AWS AI and Cloud technologies within the EMEA Financial Services Industry, specifically targeting capital markets clients. The specialist will act as a trusted advisor, partnering with sales teams to identify opportunities, engage stakeholders, and translate emerging technologies into customer-relevant solutions. The role emphasizes business development, domain expertise, and ensuring security and compliance.

This role is for a Sr. Customer Solutions Manager at Amazon Web Services (AWS) in the UK & Ireland. The primary responsibility is to guide large and complex customers through their cloud adoption journey, ensuring effective collaboration between AWS teams and the customer. The role involves acting as a trusted partner, leveraging transformation expertise, and driving customer education, governance, and migration planning. A key aspect is proactively solving customer challenges with new ideas and providing guidance on their Generative AI strategy. The role requires strong delivery and change management background, excellent problem-solving abilities, and exemplary communication skills.

This role owns the AI and Surge Inference enablement strategy and program roadmap for the EMEA AGS Sales organization. The focus is on equipping sales teams with the skills, knowledge, and tools to lead AI conversations with customers and accelerate AI outcomes. It involves developing and delivering enablement programs across various AI domains, building relationships with sales leadership and AI stakeholders, and measuring program impact.

This role focuses on building AI-powered prototype solutions, agents, and automations to improve marketer productivity within Amazon Ads Marketing. It involves transforming UX and marketing workflow ideas into working code using AI-assisted development tools, and shipping AI use cases from pilot to production. The role also involves evaluating AI tools and developing reusable prototyping methods and agent frameworks.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency.

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.

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 consulting with AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. The Data Solutions Lead will transform research objectives into data collection requirements, coordinate delivery, and monitor collection health metrics.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency.

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 focuses on supporting customers in enhancing their business or operational outcomes through the use of advanced and emerging technologies like generative AI and machine learning. The AI Strategist will partner with customers and internal AWS teams to craft industry-specific programs, drive sales opportunities, and ensure customer success in deploying proof-of-concept projects and production solutions. The role involves educating customers on AWS value propositions, conducting workshops, and operationalizing best practices for holistic generative AI/ML adoption within enterprises.

Security Engineer role focused on building and operating security logging pipelines and developing monitoring/detection capabilities for AI/ML workloads and AWS infrastructure at Amazon scale. The role involves programming, security frameworks, incident response, cloud security, and securing applications integrating LLMs/generative AI.

Senior Economist role focused on building innovative solutions using econometrics, machine learning, and experimentation for Amazon Retail's product assortment. The role involves developing econometric models and experiments to measure customer and financial impact, influencing business decisions, and collaborating with a multidisciplinary team.

This role is for a Senior Solutions Architect focused on AWS security services, helping enterprise customers adopt and operationalize these services, particularly in the context of securing generative AI and agentic architectures. The role involves owning the technical relationship, architecting solutions, and providing feedback to product teams. While it touches on AI/agentic architectures, the core function is security service adoption and operationalization, not building AI models or systems themselves.

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.

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.

Product Manager Technical for Amazon Payments International Expansion, focusing on launching local payment methods (LPMs) globally. The role involves defining product strategy, driving cross-functional alignment, assessing market opportunities, and ensuring successful product delivery. It emphasizes using AI tools and data insights to enhance customer payment experiences and operational efficiency within the fintech domain.

This role is for a Senior Partner Solutions Architect at AWS with deep domain expertise in the Financial Services (FSI) industry, specifically Banking and Capital Markets. The primary focus is on shaping and publishing repeatable industry solutions with AWS partners to accelerate customer adoption of AWS cloud computing services, including AI and Generative AI. The role involves working with partners and customers to develop sales opportunities, provide architectural guidance, and evangelize partner solutions.

This role focuses on foundational data labeling for AI models, specifically for Alexa. Responsibilities include annotating text, speech, image, and video data, maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and research skills, attention to detail, and fluency in French and English.

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 build relationships with investors, create programs to support startups, and leverage technical understanding of cloud and emerging technologies like generative AI to help startups innovate and scale on AWS infrastructure. The role involves evaluating startups, advising them on cloud architecture and go-to-market strategies, and collecting market signals to inform AWS innovation.

This role leads a team responsible for end-to-end execution of data collections that improve General Intelligence models. It involves managing teams across multiple sites, driving business value through efficiency and agility, and having the technical acumen to handle challenging collections. The role also focuses on global program improvement initiatives, stakeholder coordination, monitoring collection health, and collaborating with product and technology teams.

Operations Manager for Amazon's Artificial General Intelligence Data Services team in London, focusing on managing and scaling data operations for AI/ML technologies, leading teams, and ensuring service delivery and performance targets are met.

The role involves foundational labeling functions for generative AI, including dialogue evaluation on speech, text, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. This role supports the development and deployment of large language models (LLMs) and AI responsibly.

This role is for a Senior Data & AI Cloud Architect within AWS Professional Services. The primary focus is on designing, implementing, and managing AWS solutions for customers, with a strong emphasis on data infrastructures and AI programs. While the role involves working with AI programs and data infrastructures, the core craft is cloud architecture and solution delivery, not direct AI/ML model development.

This role focuses on designing and implementing complex AWS solutions, with a specific emphasis on Data/AI programs and GenAI implementations including LLMs, RAG, and vector databases. The role involves acting as a trusted advisor to customers, leading technical teams, and ensuring successful cloud adoption and migration strategies.

This role is a Team Manager for Amazon Data Services, focusing on speech and language solutions for Alexa. The primary responsibilities include managing job assignments, monitoring performance, supporting hiring and training, ensuring productivity, developing work schedules, liaising with other teams, tracking metrics, filing tickets, providing feedback, and implementing process improvements. The team researches and delivers multi-language Text-to-Speech technology.

This role focuses on foundational data labeling for AI models, specifically for Alexa's performance improvement. Responsibilities include data annotation across various modalities (text, speech, image, video), maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and problem-solving skills, attention to detail, and fluency in French and English.

This role focuses on designing, implementing, and supporting datasets and BI solutions to provide actionable insights and drive business results. It involves deep data analysis, experimentation design, and partnering with cross-functional teams to identify opportunities and measure innovation initiatives. The role requires strong SQL, Python, and data manipulation skills, along with experience in A/B testing and data visualization.

Technical Program Manager to lead adoption of application security processes and improvements across internal customer teams at Amazon. This role involves planning, organizing, and managing the project lifecycle, collaborating with internal customers and security teams, architecting scope of work documents, and guiding the evolution of internal security support solutions. The TPM will also define and implement best practices, own business proposals and metrics, and manage program risks.

This role is part of the AWS EMEA Field Enablement team, focusing on developing and delivering learning experiences for sales teams. The role involves creating and improving onboarding and continuous readiness programs, facilitating training sessions, gathering feedback, tracking KPIs, and supporting the adoption of AI-powered selling tools. The goal is to enhance seller confidence and capability to drive customer impact.

Software Development Engineer role focused on building and maintaining large-scale data pipelines, signal collection systems, and analytics infrastructure for Amazon Ads Traffic Quality. The role involves designing, implementing, testing, and deploying production-level systems to identify and mitigate invalid traffic (IVT) and fraudulent engagement patterns in programmatic advertising. It emphasizes operational excellence, delivering high-quality code, and collaborating with cross-functional teams.