The role focuses on the EMIR (Electromigration and IR Drop) sign-off of SoCs (System on Chips) for AI workloads, involving power grid design, analysis, and modeling. It requires collaboration with various engineering teams and EDA tool vendors to ensure quality and advance EMIR analysis methodologies.

This role focuses on data management, building data pipelines, analytical modeling, and data visualization using Python and SQL. It involves executing data management processes, retrieving and analyzing large datasets, taking ownership of reporting processes, building and maintaining KPIs, and identifying process improvements. The role is early-career and aims to develop expertise in data analytics and business intelligence within Amazon's Global Logistics Domestic First Mile operations.

Mechanical Design Engineer for Amazon Fulfillment Technologies (AFT) Quality team, focusing on designing modular data-collection systems with sensors, optics, and computer systems for installation in various Amazon network environments. Requires experience in mechanical design, CAD, and leading cross-functional projects.

Senior Software Development Engineer role within AWS Infrastructure Supply Chain Automation, focusing on designing, developing, testing, and deploying large-scale systems and services for fulfillment operations and inventory management. The role involves guiding teams, building roadmaps, and ensuring secure, scalable, and low-latency services within a hyper-growth cloud environment. While knowledge of ML/LLM fundamentals is preferred, the core responsibilities are in traditional software engineering for supply chain automation.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a specific emphasis on governance, risk, and compliance. The role involves advising customers on architectures that meet various industry standards and regulatory requirements, and demonstrating how to automate compliance in the AWS cloud. While the team works with the Generative AI Innovation Center, the core responsibilities are centered around security and compliance consulting, not direct AI/ML model development or deployment.

This role is for a Senior Cloud Technical Account Manager (TAM) within AWS Enterprise Support. The TAM acts as the principal technical advisor and 'voice of the customer' for enterprise clients, helping them design, build, operate, and secure their cloud environments. The role focuses on proactive strategic guidance, driving adoption of AWS services, and ensuring customers gain maximum value from AWS, rather than direct hands-on troubleshooting. While the company (AWS) is heavily involved in AI, this specific role is customer-facing and advisory, focused on general cloud services and adoption strategies, not directly building or shipping AI models or systems.

This role is for a Vendor Manager at Amazon Canada's Hardlines team. The primary focus is on managing strategic vendor relationships, driving business growth, negotiating contracts, optimizing selection, managing inventory, and developing pricing strategies. While the role mentions using generative AI tools to enhance workflow efficiency and recognizing opportunities for AI enhancement, the core responsibilities are in vendor management and business operations, not in building or directly deploying AI models or systems.

Software Development Engineer, Lead Management and Account-Based Marketing Tech role at Amazon AWS. This role focuses on building and innovating a technology platform for ingesting, enriching, scoring, and passing leads to AWS Sales teams. It involves designing and implementing scalable end-to-end technical solutions using AWS tools, APIs, and Redshift, with a strong emphasis on software development lifecycle, technical leadership, and collaboration with stakeholders.

Software Development Engineer role focused on building Human Machine Interfacing Platforms for automated material handling systems and warehouse automation. Involves designing and implementing backend services, APIs, and tooling for deployment, management, and monitoring of industrial control systems and robotics.

Technical Program Manager for Amazon's fulfillment center automation systems, focusing on deployment, integration, and process optimization. The role involves managing cross-functional teams, defining program goals, driving execution, and ensuring delivery of automated solutions.

This role is for a Senior Business Intelligence Engineer responsible for building and owning the operational analytics ecosystem for Amazon Now's Finance, Supply Chain, Delivery, and Under-the-Roof operations. The role involves defining KPIs, building data pipelines, developing dashboards, conducting deep-dive analyses, and creating self-serve analytics capabilities in a greenfield environment.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a strong emphasis on governance, risk, and compliance (GRC) as they migrate workloads and regulated data to the AWS cloud. The role involves understanding and addressing specific risk, regulatory, and compliance requirements, translating them into scalable solutions, and communicating with stakeholders at all levels. While the team works with generative AI innovation centers, this specific role is centered on security and compliance in the cloud, not on building or directly deploying AI/ML models.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a specific emphasis on governance, risk, and compliance. The role involves advising customers on architectures that meet various industry standards and regulatory requirements, and demonstrating how to automate compliance in the AWS cloud. While the team works with the Generative AI Innovation Center, the core responsibilities are centered around security and compliance consulting, not direct AI/ML model development or deployment.

This role is for a Senior Vendor Manager in Amazon's Kitchen category. The primary responsibilities include managing the P&L, developing category strategy, building vendor partnerships, driving selection, profitability, and customer experience. The role requires strong business judgment, negotiation skills, analytical thinking, and leadership.

Senior engineering leader to build next-generation functionalities and infrastructure in AWS Identity, focusing on security and customer access control. The role involves leading a team, developing strategic roadmaps, and driving transformation across AWS engineering, potentially leveraging AI. Requires experience in building scalable and resilient systems, managing global footprints, and partnering with Product Management.

This role is for a Physical Design Engineer focused on custom SoCs for AWS Machine Learning servers, including Inferentia and Trainium Systems. The engineer will be responsible for full chip floorplan, placement, integration, signoff, and tapeout, collaborating with FE teams and using industry-standard EDA tools for physical verification. The role requires expertise in physical verification, semiconductor manufacturing processes, and successful tape-outs, with a focus on advanced technology nodes.

This role focuses on creating functional prototypes for Amazon's consumer devices and services, bridging design and engineering to innovate user experiences. It involves building interactive prototypes to validate design concepts, collaborating with cross-functional teams, and potentially integrating emerging technologies.

Senior Software Development Engineer on the AWS Commerce Platform team, responsible for designing, developing, and operating highly available, secure systems that handle confidential billing data at scale. The role involves contributing to growth by hiring engineers, ensuring architectural sanity, operational excellence, and quality, and working across teams to deliver platform features. Key focuses include protecting customer information, maintaining low latencies, and simplifying commerce complexity.

Software Development Engineer role within the AWS Commerce Platform team, focusing on building and managing the back and front-end services for AWS customers to purchase, understand, and manage their infrastructure costs. The role involves tackling scalability, performance, and distributed computing challenges, processing large volumes of data using stream processing and map-reduce techniques, and managing data with advanced database technologies. The team emphasizes work-life balance, mentorship, and an inclusive culture.

Principal Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. Requires a PhD, experience in professional software development, and programming in specific languages like O'Caml or Dafny. The role involves solving complex problems, leading design and implementation of solutions, providing cross-organizational technical influence, and mentoring others.

Embedded Software Engineer role focused on developing and maintaining firmware for Machine Learning Accelerator (MLA) servers, including BMC and SMC software, device drivers, and control systems. The role involves hardware/software co-design and supporting the physical systems that execute ML workloads, rather than developing ML algorithms themselves.

Lead a DevOps team responsible for Data Analytics and Machine Learning services within AWS, focusing on building and operating massively scalable distributed systems and cloud computing offerings. Requires strong leadership, technical ability, and experience in developing and operating platforms and services.

This role is for a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include architecting complex solutions, gathering requirements, proposing migration strategies, advising on industry trends, and leading implementation processes. The role requires a US Citizen with an active TS/SCI security clearance with polygraph.

Technical Program Manager for AWS's AI Data Center Network Build team, responsible for end-to-end network delivery across US data center builds for ML workloads. This role involves coordinating construction, deployment, and validation of network infrastructure, working with network engineers, data center construction teams, and supply chain to ensure timely and accurate delivery of production fabric readiness for AI services.

Amazon Robotics is seeking an experienced Robotics Control Engineer to join their Motion Planning and Control team. The role involves designing, developing, and implementing real-time robotic systems for fulfillment centers, focusing on motion planning, control theory, and machine learning applications. Responsibilities include developing control code, system optimizations, and collaborating with hardware and software teams from prototyping to production. The position requires experience with robotics work cells, control systems, and programming languages like C++ and Codesys, with a focus on launching, testing, and debugging systems in lab and field environments.

This role is for a Senior Data Engineer/Architect focused on designing and building data lakes, data warehouses, and scalable data platforms in the cloud for public sector customers. The role involves translating business outcomes into data architecture and engineering solutions, optimizing data platforms, and acting as a trusted advisor on data technologies. While it supports ML solutions, the core focus is on data infrastructure and engineering, not direct AI/ML model development.

Software Development Engineer role focused on building next-gen data lakes and cloud networking fabric for Amazon, with an emphasis on applying Generative AI to solve complex problems at scale within microservices architecture.

This role focuses on automated reasoning, privacy, and sovereignty within AWS, requiring deep knowledge in areas like SAT, SMT, symbolic simulation, and program analysis. The candidate will solve complex problems, lead design and implementation, and provide cross-organizational technical influence. While the company is in AI, the core craft of this role is not AI/ML model building but rather formal methods and reasoning.

This role focuses on automated reasoning, which is a subfield of AI, but the core responsibilities involve traditional computer science research in areas like SAT, SMT, theorem proving, and program analysis, rather than direct application or development of modern ML/LLM models. The role is classified as Research, with a primary stage of L0 (data/foundational research) and an AI score of 0 because it does not directly involve shipping ML models or agents.

This role focuses on automated reasoning, which is a subfield of AI, but the core responsibilities and required skills (SAT, SMT, theorem proving, program analysis) are more aligned with traditional computer science research and formal methods rather than the development or deployment of machine learning models or agents. The role is classified as Research within the Enterprise AI domain, with an AI maturity signal of Exploring, and a primary stage of L0 (Data) due to the foundational nature of the research in logic and formal systems, which can be seen as a form of data preparation or foundational work for more complex AI systems. However, since the role does not directly ship ML models or agents, it is marked as not AI-related.

This role focuses on automated reasoning, privacy, and sovereignty within AWS, solving complex problems with deep scientific innovation and providing cross-organizational technical influence. It involves developing strategic plans for new solutions and mentoring others.

This role focuses on automated reasoning, which is a subfield of AI, but the core responsibilities and required skills (SAT, SMT, theorem proving, program analysis) do not directly involve building or shipping AI/ML models or agents as defined by the schema's stages L0-L6. The role is more aligned with traditional computer science research in formal methods and logic, rather than the direct application or development of AI/ML systems.

This role is responsible for developing and executing the energy strategy for AWS data centers, managing complex power infrastructure projects, and collaborating with utilities and internal teams to ensure reliable and cost-effective energy supply. The role involves strategic planning, project management, stakeholder management, and financial oversight within the energy sector.

This role focuses on deploying, scaling, and automating network infrastructure for AWS global services, including creating deployment processes, defining network standards, and collaborating with automation teams to enhance scalability. It involves working with network fabrics, ensuring efficient internet traffic flow, and managing network designs from concept to production.

Senior Software Development Engineer role focused on improving the developer experience for Amazon Ads. The role involves designing and building scalable solutions for API integration, domain models, and developer tools, with a focus on reducing time-to-market for new features and ensuring consistency across various surfaces. This is a leadership role influencing architectural decisions and mentoring engineers.

This role is for a Delivery Consultant on the AWS Professional Services team, focusing on designing, implementing, and managing AWS cloud solutions for customers. The consultant will provide technical expertise, guide customers through their cloud journey, and propose migration strategies. The role requires deep understanding of AWS products and services, and experience in architecting scalable, secure solutions. It involves collaborating with stakeholders, troubleshooting, and advising on industry trends.

This role is for a Sr. Solutions Architect focused on driving adoption of Amazon Leo broadband solutions within the telecommunications segment. The responsibilities include engaging with customers to influence roadmaps, designing architectures, developing reference solutions, and translating customer requirements into product direction. The role also involves solving technical and commercial blockers, building partnerships, and creating technical content. While the role mentions "Generative / Agentic AI" in the context of SAP, the core focus is on satellite broadband connectivity and telecommunications networking.

Strategic Business Development Account Manager for AWS, focusing on 4th Estate Defense Agencies. The role involves engaging with senior leaders, developing IT modernization strategies, and shaping AWS product roadmaps by driving new requirements. Requires a Top Secret/SCI security clearance.

Solutions Architect for AWS WWPS HCLS team, focusing on helping Healthtech & ISV customers with their cloud transformation journeys by designing scalable, flexible, and resilient cloud architectures using AWS services. The role involves technical leadership, customer engagement, and driving adoption of AWS.

Principal Product Manager Technical for Amazon's eCommerce Foundation (eCF) organization, specifically within the Business Data Technologies (BDT) group. This role focuses on building an enterprise-wide managed data solution leveraging AWS technologies, enabling teams to produce and process analytical data across various storage and compute environments. The PMT will drive initiatives for next-generation data catalog, discovery, and transformation platforms.

This role is for a Delivery Consultant on the AWS Professional Services team, focusing on designing, implementing, and managing AWS cloud solutions for customers. The consultant will act as a trusted advisor, providing technical expertise, guidance on industry trends, and best practices throughout the project lifecycle, including migration strategies and performance optimization. The role requires strong AWS knowledge, solution architecture experience, and a TS/SCI security clearance.

The Data Collection Specialist role focuses on learning quickly, accurately executing data collection procedures, recording data, and documenting associated information. The ideal candidate is organized, detail-oriented, and possesses strong interpersonal skills. Responsibilities include contributing to data collection project improvements by identifying tool issues and suggesting enhancements, and understanding protocol changes based on data needs and workflows. A passion for data, efficiency, and accuracy, along with proactive problem-solving, is highly valued.

This role focuses on data collection, accuracy, and documentation for data processing projects, with a preference for experience in machine learning data processing needs and computer skills. It involves learning quickly, executing procedures, recording data, and suggesting improvements to tools and protocols.

Senior Product Marketing Manager for Fashion & Fitness, focusing on paid social marketing strategy, creative execution, and merchandising to drive performance and conversion across social platforms. This role requires a strong understanding of social media channels, creative judgment, and data-driven iteration to optimize ROAS and CTR.

Software Development Manager for AWS Console Platform and AWS Widget Toolkit (AWT) focusing on UXP2. The role involves technical leadership, managing a development team, and owning the technical roadmap for Console platform infrastructure, ensuring scalability and operational excellence. Responsibilities include maintaining high availability, improving the builder onboarding experience, driving architecture decisions, and leading hiring and development of engineers. The team works on products enabling users to manage AWS applications and infrastructure, with a focus on delivering an effective user experience across multiple channels.

This requisition is for a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026 across all AWS SDE positions, including specialized engineering roles in areas like AI/ML, Healthcare AI, and others. The role involves designing, developing, and maintaining code, implementing software solutions, collaborating with cross-functional teams, and identifying/resolving performance bottlenecks.

This role involves designing, implementing, and managing AWS solutions for customers, focusing on cloud migrations and modernization. The consultant will provide technical expertise, guide customers through their cloud journey, and advise on industry trends and emerging technologies.

This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor for cloud adoption and migration strategies. It involves technical expertise in AWS services, stakeholder collaboration, and project delivery.