Amazon

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.

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.

Software Development Engineer (Java&AWS) for Ring backend team, focusing on designing, implementing, and testing low-latency, high-uptime distributed systems and microservices. The role involves leveraging generative AI tools to improve development processes and will contribute to the next generation of Ring applications and services.

AWS Professional Services Cloud Architect in Australia focused on Public Sector customers, specializing in pre-sales and solution design for Agentic AI and Generative AI. The role involves understanding customer requirements, architecting cloud solutions, developing proof-of-concepts, and acting as a trusted advisor on emerging technologies.

Software Development Manager for AWS Compliance & Security Assurance, focusing on Denied Party Screening. The role involves leading teams to build and scale ML/LLM-powered detection and resolution systems to prevent prohibited transactions with denied entities, handling significant scaling and TPS challenges. The manager will define team vision, shape technical strategy, mentor engineers, and ensure operational excellence for these AI/ML systems.

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.

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.

This role is for a Senior Technical Account Manager (TAM) at AWS Enterprise Support, focusing on Healthcare and Life Sciences (HCLS) customers. The TAM will act as a trusted advisor, helping organizations leverage cloud and Generative AI for drug discovery, clinical operations, and patient outcomes. Responsibilities include crafting strategic support plans, guiding customers on AI/Gen AI adoption using AWS services like Bedrock and SageMaker, navigating regulated environments (HIPAA, GxP), and providing technical guidance. The role requires influencing technical decision-makers and managing complex, mission-critical workloads.

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.

Software Development Engineer Intern role focused on building AI-based automation technology operations platforms. Responsibilities include designing and developing scalable user interfaces, data structures, and algorithms, with a need to understand basic AI/ML algorithms. Requires collaboration with engineering teams for feature implementation and deployment.

Software Development Engineer Intern focused on building AI-based automation technology operations platforms, requiring design and development of scalable systems and collaboration with engineering teams. Basic qualifications include CS fundamentals and understanding of AI/ML algorithms, with preferred qualifications in GenAI, LLMs, and Agentic AI systems.

Senior Solutions Architect at AWS focusing on helping Independent Software Vendors (ISVs) in Canada adopt AWS cloud services. The role involves acting as a technical leader and strategic advisor, designing end-to-end architectures, and influencing long-term technology strategy. While the role requires deep technical expertise across multiple domains including AI/ML, generative AI, agentic applications, MLOps, and RAG (preferred qualifications), its primary function is to architect and drive the adoption of cloud solutions for customers, rather than directly building or researching AI models themselves. The role supports customers in shipping AI-powered products.

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.

Software Development Engineer role focused on building new personalization and optimization capabilities for Amazon's Brand Stores using generative AI and machine learning. The role involves partnering with product, design, and science teams to create customer-facing products that enhance the shopping experience and connect brands with shoppers.

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.

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.

Group Manager for Just Walk Out Technology, focusing on people and site management within Amazon's Applied AI Solutions organization. The role involves leading a team of managers, ensuring operational efficiency, and driving process improvements for a customer-facing AI product.

Support Engineer role focused on integrating Generative AI and Agentic systems into daily workflows to enhance designs and improve builder productivity. The role involves end-to-end development, technical guidance, and problem resolution within Amazon Pay.

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.

This role focuses on leveraging BI tools and AI technology to build an analytical foundation for optimizing last-mile operations. The Business Analyst will apply statistical knowledge, analyze data-driven processes, and provide insights for continuous improvement and operational excellence. Key responsibilities include designing data analysis projects, developing dashboards, conducting various statistical analyses, and automating processes with AI/ML tools.

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 building measurement and experimentation frameworks for lifecycle marketing campaigns within Amazon's EU Prime and Marketing Analytics & Science (PRIMAS) team. The scientist will design and execute experiments to measure campaign effectiveness, establish experimental standards, and apply causal inference methods to guide marketing strategy and investment decisions. The role involves working with various marketing channels and platforms, analyzing results, and providing optimization recommendations.

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.

The role involves data annotation and evaluation for AI development, focusing on Korean language data including text, voice, images, and videos. Responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, ensuring data privacy and security, and contributing to quality control and improvement by identifying error patterns and proposing solutions. The role also includes translation of guidelines and supporting AI development with appropriate decision-making.

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.

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.

Support Engineer role focused on Linux systems within AWS Region Services, involving troubleshooting, customer interaction, service improvement feedback, and using internal AI systems for problem-solving. The role emphasizes operational excellence and security within sensitive Australian government workloads.

This role focuses on ensuring data quality and strategic oversight for human-in-the-loop and model-in-the-loop data pipelines that support LLM training. The consultant will provide domain expertise, mentorship, and collaborate with AI teams to optimize data collection and evaluation processes.

This role focuses on overseeing and optimizing human-in-the-loop and model-in-the-loop data pipelines for AI solutions, ensuring data quality and providing mentorship. It involves collaborating with AI teams on data collection for LLM training and evaluating AI systems.

Solutions Architect for AWS in Copenhagen, empowering enterprises with cloud technologies. Focuses on building technical relationships, advising on cloud value, security, cost, performance, and operational efficiency. Acts as a customer voice for product roadmap, creates reference architectures, and evangelizes AWS technology through content and speaking engagements. Requires experience with Generative AI and cloud architecture.

Data Scientist on the Core Tech Private Brands Analytics team, responsible for building and improving forecasting and planning models for Amazon Private Brands. This involves end-to-end pipeline development, replacing manual processes with code-driven solutions, and evaluating model accuracy. The role partners with business, science, and tech stakeholders and contributes to the organization's AI framework and experimentation rigor.

Senior Data Scientist role focused on building and guiding data-driven frameworks for personalization and content discovery in Prime Video, influencing customer experience through advanced statistical and machine learning techniques.

This role focuses on Signal & Power Integrity (SI/PI) analysis and optimization for advanced packaging solutions of machine learning and data center ASICs. The engineer will lead package-level SI/PI strategy, design and optimize package stack-ups, perform high-speed channel simulations, analyze and optimize the package PDN, and model advanced interconnects. The role requires expertise in SI/PI tools, advanced packaging technologies, and correlation of simulations with lab measurements.

Software Development Manager for AWS SageMaker Unified Studio, an AI-assisted development environment for Data Engineers, Data Scientists, SQL Analysts, and IT Administrators. The role involves leading a software development team to design, implement, test, and deploy innovative solutions at the intersection of Big Data, analytics, warehousing, and machine learning, while mentoring engineers and influencing technical strategy.

Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context.

Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context.

Senior Software Development Engineer role within AWS Specialist and Partner Organization focused on building end-to-end self-service solutions for customers to resolve issues independently, thereby deflecting manual work from support engineering teams. The role actively leverages AI-powered development tools, including generative AI and LLM-based code generation, to accelerate delivery and improve code quality. Responsibilities include architecting, designing, and implementing scalable distributed systems, mentoring junior engineers, and driving architectural decisions. The team embraces AI-first development practices to innovate and improve engineering quality.

Software Development Engineer II role focused on building AI-powered components for technical documentation experiences within AWS. The role involves designing, developing, and deploying scalable and maintainable solutions, with a strong emphasis on customer needs and engineering best practices. Experience with ML/LLM fundamentals is preferred.

This role focuses on optimizing the image processing pipeline (ISP tuning) for Ring cameras, ensuring high-quality images across various conditions. It involves deep technical work on camera hardware, ISP algorithms, and system validation, with an emphasis on AI-enhanced imaging techniques and developing systematic solutions for image quality challenges.

The Language Engineer role within Amazon's MIDAS team focuses on creating and managing data annotation guidelines and workflows to support AI model training and evaluation for search quality. This involves data wrangling, analysis, defining UI templates, and reporting on data quality metrics, requiring linguistic and scripting expertise to address NLP and language understanding challenges. The role collaborates with scientists, engineers, and product managers to improve various aspects of Amazon Search, including semantic matching, ranking, computer vision, image processing, and augmented reality.

This role is for a Senior Solutions Architect in AWS Global Sales, focusing on the Public Sector in Israel. The primary responsibility is to build technical relationships with customers, acting as a trusted advisor to help them adopt and maximize the AWS cloud. This involves making recommendations on various aspects of cloud architecture, informing the AWS roadmap with customer needs, and creating/sharing best practices and reference architectures. While Generative AI is mentioned as a preferred technical domain, the core function is broader cloud solutions architecture and customer enablement, not direct AI/ML model development.

This role is for a ProServe Cloud Architect at Amazon Web Services (AWS) who will design and implement cloud solutions for customers, focusing on achieving business outcomes. While the role involves working with AI/ML solutions and understanding related technologies, its core function is cloud architecture and customer consulting, not direct AI/ML model development or research.