Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| Software Development Engineer II, Post Silicon Validation Software Development Engineer II, Post Silicon Validation for AWS's next-generation machine learning accelerators. This role involves validating the complete vertical stack of ML accelerators, from silicon to system, ensuring quality and performance for AWS cloud infrastructure. Responsibilities include developing validation strategies, executing test plans, hardware bring-up and debug, and collaborating with cross-functional teams. | Serve | 7 |
| Senior AI Solution Architect This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments, acting as a trusted advisor to customers on adopting GenAI/ML and Agentic technologies. The Senior AI Solution Architect will manage technical relationships, make recommendations on architecture, and influence roadmap enhancements. Responsibilities include building technical relationships, advising on security, cost, performance, and operational efficiency for GenAI/ML and Agentic projects, and acting as the voice of the customer internally. The role involves defining cloud-native GenAI/ML and Agentic architectural patterns, creating and sharing best practices, technical content, and reference architectures, and evangelizing AWS technology for GenAI/ML and Agentic workloads through various channels. Additionally, it requires leading hands-on deep dives and technical workshops, contributing reusable code and assets. |
| Agent |
| 7 |
| Senior AI Solution Architect Senior AI Solution Architect for AWS, focusing on guiding customers in adopting GenAI/ML and Agentic technologies. This role involves building technical relationships, recommending architectures for GenAI/ML and Agentic projects, influencing roadmaps, defining cloud-native architectural patterns, and creating technical content. The role requires hands-on experience with AWS AI services, LLM integration, fine-tuning, inference, RAG, evaluation, vector databases, agentic workflows, and MLOps. | AgentServe | 7 |
| Senior AI Solution Architect This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects. | Agent | 7 |
| Sr. AI Specialist SA This role is for a Senior AI Specialist Solutions Architect at AWS, focusing on helping enterprise customers adopt and scale GenAI/ML and Agentic technologies. The role involves building technical relationships, designing scalable architectures, advising on best practices, and contributing to the development of AWS AI services. It requires hands-on experience with AWS AI services, implementing solutions like RAG, LLMs, and agentic workflows, and translating customer needs into technical solutions. | AgentServe | 7 |
| Sr AI Solution Architect, Data & AI Specialist Solutions Architect team This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale Generative AI, ML, and Agentic technologies. The architect will build technical relationships, provide architectural guidance, and translate customer needs into scalable solutions on AWS. Responsibilities include advising on security, cost, performance, and operational efficiency, contributing to AWS service roadmaps, and creating technical content like whitepapers and workshops. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and deploying LLMs. | AgentServe | 7 |
| Sr AI Solution Architect, Data & AI Specialist Solutions Architect team This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI, ML, and Agentic technologies. The architect will build technical relationships, craft scalable architectures, provide recommendations on various aspects of cloud adoption, and act as the voice of the customer internally. Responsibilities include creating technical content, leading deep dives, and ensuring solutions are production-ready. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and MLOps. | Agent | 7 |
| Principal AI Solution Architect, Data & AI Specialist Solutions Architect team This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects. | AgentServe | 7 |
| Applied Scientist II, Buyer Risk Prevention (BRP) Applied Scientist II role focused on building and deploying end-to-end machine learning models for fraud and risk prevention in an e-commerce environment. The role involves leveraging Generative AI and LLMs to enhance detection systems, analyzing large datasets, and collaborating with engineering and business stakeholders. Requires experience in model development from problem formulation to production, with a focus on scalable ML solutions. | Ship | 7 |
| Principal Solutions Architect, CEE Enterprise, FSI Principal Solutions Architect for AWS, focusing on financial services in Central Eastern Europe. The role involves leading technical strategy, architecting and implementing cloud solutions, and guiding customers in adopting agentic AI workloads, autonomous systems, and intelligent automation. Key responsibilities include designing scalable, secure, and compliant architectures, championing innovation with agentic architecture patterns and AI-SDLC methodologies, and translating business challenges into cloud-native solutions. The role also involves thought leadership, mentoring other Solutions Architects, and contributing to the AWS knowledge base. | Agent | 7 |
| Software Development Engineer III, Sponsored Products and Brands Software Development Engineer III for Amazon's Sponsored Products and Brands team, focusing on building conversational ad experiences powered by LLMs. The role involves developing large-scale, low-latency distributed systems, ML infrastructure, LLM-based AI workflows, and contributing to LLMOps, with a focus on customer-facing functionality impacting millions of shoppers. | AgentServe | 7 |
| GenAI Experiences Demo Architect , AWS Professional Services This role focuses on building and presenting generative AI demonstrations for AWS customers, educating them on AI technologies and providing architectural guidance for solutions involving AWS services and partner offerings. The role involves creating industry-grade demos, delivering compelling tours, and facilitating hands-on experiences to drive customer engagement and pipeline opportunities. | Agent | 7 |
| Applied Scientist, AWS Applied AI Solutions Core Services Applied Scientist role focused on developing and productizing AI solutions for enterprise services within AWS. The role involves designing and implementing ML systems for diverse applications, creating scalable algorithms, conducting experimentation with advanced techniques (LLMs, CV, agentic AI), and collaborating with engineering and product teams to deliver customer impact. The primary output is shipped AI products, with a secondary focus on agentic AI systems. | ShipAgent | 7 |
| Applied Scientist, Amazon Music Applied Scientist role at Amazon Music focusing on building, training, and deploying ML models for customer experiences and business decisions. The role involves collaborating with scientists and engineers, experimenting with modern ML techniques, and implementing scalable data pipelines and model-serving systems. It's suitable for early-career individuals with a PhD or Master's degree and 3+ years of experience in building models for business applications. | Post-trainServe | 7 |
| Sr. Applied Scientist, Amazon Books This role focuses on developing and implementing novel algorithms and agentic systems at the intersection of AI, LLMs, NLP, search, and deep learning for the Amazon Books team. The goal is to advance the state-of-the-art and build technologies that enhance customer discovery experiences for millions of users. | Agent | 7 |
| Software Development Engineer, RecsAI - Personalization Software Development Engineer role focused on building and scaling Amazon's next-generation recommendation system (RecsAI) which uses LLMs trained for shopping to provide personalized product suggestions. The role involves designing, building, testing, and operating features for this system, collaborating with product and science teams, and ensuring maintainability, scalability, performance, and reliability at Amazon scale. It emphasizes end-to-end ownership, experimentation, and integrating generative AI into real-time recommendation experiences. | Ship | 7 |
| Principal Solutions Developer , Prototyping and Customer Engineering (PACE) Principal Solutions Developer role focused on building prototypes and customer engineering solutions using AI, Agentic Design, Serverless, and multimodal Generative AI. The role involves partnering with customers to explore new technical grounds, craft scalable solutions, and accelerate AWS adoption. It requires a builder's mentality, technical depth, business acumen, and the ability to operate independently in ambiguous environments. | Agent | 7 |
| Sr. Software Development Engineer, Ring AI (Edge AI) Senior Software Development Engineer focused on developing and deploying edge AI solutions with a specialization in computer vision for consumer devices. The role involves designing and implementing efficient edge AI architectures, collaborating with applied science and cloud teams, and optimizing system performance. | ServePost-train | 7 |
| Applied Scientist, Sales AI This role focuses on building AI agents to optimize end-to-end workflows for Amazon's Advertising Sales organization. It involves applying expertise in NLP, LLMs, Deep Learning, Reinforcement Learning, and Recommender Systems to create and refine production-ready models, with a strong emphasis on autonomous agents operating at scale. The scientist will also collaborate with engineering and product teams, conduct A/B experiments, and contribute to scientific publications. | Agent | 7 |
| Applied Scientist, Sales AI Applied Scientist role focused on building AI/ML solutions for Amazon's Advertising Sales business. The role involves developing and implementing models for insights, recommendations, and generative AI-powered workflows to improve sales team efficiency and customer success. It requires expertise in quantitative modeling, deep learning, RL, and NLP, with a focus on production deployment and A/B experimentation. | AgentPost-train | 7 |
| Applied Scientist, Sales AI Applied Scientist role focused on building and refining Generative AI and ML models to optimize Amazon's Ad Sales business. The role involves conceptualizing research, guiding technical approaches, conducting data analysis, running A/B experiments, and working with engineers to deliver end-to-end solutions into production. The goal is to transform account team operations with actionable insights, recommendations, and GenAI integration for improved efficiency. | Ship | 7 |
| Sr. Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering This role focuses on building and operating AWS cloud infrastructure for AI training and inference, specifically targeting high-performance and scalable solutions for large language models. The engineer will work on server designs, system-level debugging, and implementing automation solutions, including agentic workflows and AI-driven tools, to enhance the productivity of other engineers and influence AI implementation and core architecture. | Serve | 7 |
| Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing Senior GenAI & ML Specialist Solutions Architect for AWS, focusing on Automotive & Manufacturing. This role involves customer-facing pre-sales, designing and deploying Generative AI and ML solutions on AWS, and engaging with enterprise customers and partners. Requires deep technical expertise in ML, LLMs, RAG, fine-tuning, prompt engineering, agents, and AIOps, along with strong software engineering and cloud architecture skills. | Agent | 7 |
| Support Engineer - Intelligent Document Processing, CORS - Rapid Solutions Support Engineer role focused on implementing, fine-tuning, and troubleshooting AI-powered systems for compliance document validation using LLMs and ML algorithms. Requires Python, ML frameworks, AWS, and familiarity with compliance processes. | Post-train | 7 |
| Support Engineer - Intelligent Document Processing, CORS - Rapid Solutions Support Engineer role focused on implementing, fine-tuning, and troubleshooting AI-powered systems for compliance document validation using LLMs and ML algorithms. Requires Python, ML frameworks, AWS, and familiarity with compliance processes. | Post-train | 7 |
| GenAI Experiences Demo Architect , AWS Professional Services This role focuses on building and presenting generative AI demonstrations for AWS customers, educating them on AI technologies and providing architectural guidance for solutions involving AWS services and partner offerings. The role involves creating industry-grade demos, delivering compelling tours, and facilitating hands-on experiences to drive customer engagement and pipeline opportunities. | Agent | 7 |
| Applied Scientist II, Search Ranking The Applied Scientist II role on the Amazon Search team focuses on inventing signals and algorithms for machine-learned ranking models to improve search quality for millions of customers. The role spans the entire development pipeline, from data analysis and prototyping to A/B testing and production deployment. | Ship | 7 |
| Software Development Engineer, Middle Mile Disruption Detection and Execution Software Development Engineer role focused on building and deploying ML and GenAI models to resolve disruptions in Amazon's Middle Mile Transportation network. The role involves developing intelligent systems for predictive analytics and automation, operating high-volume, low-latency services, and collaborating with stakeholders. | Agent | 7 |
| Data Scientist II, SAnDS, SAnDS Data Scientist II role focused on building predictive models and optimization algorithms for AWS Global Services support organization, utilizing machine learning and deep learning to drive business and operational improvements. The role involves partnering with various teams to optimize and predict across the network, with a focus on contact forecasting and cost optimization. | Data | 7 |
| Sr. Generative AI Specialist Solutions Architect, Brazil Senior Generative AI Specialist Solutions Architect for AWS Brazil. The role involves helping clients build and deploy GenAI applications using Amazon Bedrock and SageMaker, fine-tuning and creating GenAI models, and enabling enterprise clients to leverage these models for end-user applications. The position also includes influencing product direction and helping clients enter new markets with GenAI. The role requires deep technical expertise in multimodal generative image technologies, fine-tuning, and prompt engineering, with a preference for strong ML development experience and experience building applications and designing architectures. The individual will act as a subject matter expert, evangelize AWS GenAI services, partner with internal teams, and provide customer feedback to product and engineering teams. | AgentPost-train | 7 |
| Software Development Engineer II, Ads AI Core Infrastructure Software Development Engineer II role focused on building AI agent infrastructure for Amazon Advertising. The role involves designing and implementing scalable real-time data ingestion and processing pipelines to provide advertiser context to AI agents with sub-second latency. Key responsibilities include architecting data services, optimizing performance, and leveraging AI coding agents for development. The role operates at the intersection of real-time data engineering and AI agent infrastructure, aiming to deliver immediate, strategic advice to advertisers. | AgentData | 7 |
| Software Development Engineer, Middle Mile Disruption Management Software Development Engineer role focused on building intelligent systems powered by ML and GenAI to resolve transportation disruptions. The role involves building and deploying ML models for predictive analytics and leveraging generative AI for automation and decision support within Amazon's Middle Mile Transportation Technology team. | Agent | 7 |
| Software Development Engineer II, JWO Software Development Engineer II role within AWS Applied AI Solutions, focusing on the Just Walk Out (JWO) checkout-free retail technology. The role involves designing, developing, and deploying reliable distributed services that leverage computer vision and machine learning to create a seamless shopping experience. The engineer will contribute to inventing new features, prototyping, and mentoring other engineers, working with languages like Java and Python on the AWS cloud stack. | ShipServe | 7 |
| Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing Senior Solutions Architect for Generative AI and ML workloads in the Automotive & Manufacturing sector, focusing on customer adoption of AWS services. This role involves translating business challenges into technical solutions, designing and deploying architectures, engaging with enterprise customers and partners, and providing feedback to product teams. Requires deep technical expertise in ML, LLMs, RAG, fine-tuning, agents, and AIOps, along with strong business acumen for customer engagements. | Agent | 7 |
| Applied Scientist, AWS Applied AI Solutions Applied Scientist role focused on developing Agentic AI solutions using Gen AI within AWS Applied AI Solutions. The role involves extending scientific techniques, inventing new ones, and delivering components into production with high quality standards. Requires experience in building models for business applications and strong programming skills. | Agent | 7 |
| Member of Technical Staff, Data Platform , AGI Backend engineer responsible for building and operating core services that ingest, process, and distribute large-scale, multi-modal datasets to internal tools and data pipelines for an AGI research lab. Focuses on designing backend architecture, defining operational standards, and ensuring production health, performance, and observability. | Data | 7 |
| Member of Technical Staff, Research Tools Platform , AGI Software Engineer on the Research Tools Platform team at Amazon AGI Autonomy, responsible for building tools that support model development, data creation, evaluation, and experimentation for AI agents. The role involves defining system architecture, building UI components, and collaborating with researchers and engineers. | Data | 7 |
| Data Scientist II (ADBL175) Data Scientist II at Audible (Amazon) focused on building production-ready LLM solutions and recommendation systems. Requires a Master's degree and 2+ years of experience in data science, ML modeling, Python/R, and non-linear models. Experience with LLMs (programmatic access, evaluation, fine-tuning), recommendation systems, and SQL/ETL is required. | ShipPost-train | 7 |
| Applied Scientist II, FinAuto Applied Scientist II role focused on building and implementing machine learning models for financial fraud, theft, abuse, and waste detection within Amazon's financial systems. The role involves research, development, and production deployment of ML solutions, with a focus on analyzing large datasets and creating scalable solutions. | Agent | 7 |
| Senior Software Development Engineer, Ads Agent Fabric (Ads AI Core Infrastructure) Senior Software Development Engineer role focused on building and owning the design and delivery of critical infrastructure components for AI agents in Amazon Ads. This includes an agent-builder SDK, agent-builder tools, and a managed runtime, enabling advertisers to build and deploy AI agents at scale. The role involves working at the intersection of distributed systems, ML infrastructure, and developer tooling, defining technical strategy for scalable platforms in an emerging space. | AgentServe | 7 |
| Software Development Engineer, JWO Software Development Engineer role within AWS Applied AI Solutions, focusing on building and scaling the Machine Learning platform for Just Walk Out (JWO) Technology. The role involves solving problems in computer vision, image recognition, machine learning, and distributed systems, with a need for entrepreneurial spirit and full-stack development skills. | Serve | 7 |
| ECAD Application Development Engineer, Design Technologies This role focuses on developing and customizing ECAD applications, with a significant emphasis on integrating AI/ML technologies to enhance design processes. The engineer will lead the customization and extension of Cadence applications, explore AI-based design review and generation capabilities, and collaborate with AI/ML teams to integrate LLMs and ML into ECAD workflows. The goal is to enable intelligent automation and design assistance in hardware engineering. | Agent | 7 |
| Sr. Software Development Engineer. - Tech, Brand Measurement, Measurement, Ad Tech, and Data Science (MADS) Senior Software Development Engineer role focused on building innovative solutions for brand measurement in Amazon Ads, leveraging generative AI and machine learning to optimize advertising performance and deliver AI-driven insights to advertisers. | Agent | 7 |
| Sr. Software Engineer, Alexa Connections This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, aiming to redefine intelligent conversational experiences. The engineer will lead the development and scaling of real-time agentic AI solutions, collaborate with cross-functional teams, and ensure high quality and customer experience. | Agent | 7 |
| Sr. Data Scientist, WWPS ProServe Data and Machine Learning Senior Data Scientist role at AWS ProServe focused on designing, implementing, and scaling AI/ML and Generative AI solutions for enterprise customers. The role involves working directly with clients to understand their needs, develop statistical models, select and train models, and guide them through their AI transformation journey. Requires strong expertise in data science, ML, generative AI, and AWS cloud services, with a focus on delivering customer success and business value through AI. | Agent | 7 |
| Sr Software Dev Engineer, Customer Behavior Analytics This role focuses on building and operating Amazon's customer behavior analytics and targeting systems, specifically inventing and scaling agentic analytics and targeting. The goal is to create an AI-powered content targeting ecosystem where human and AI agents collaborate, driving efficiency across the entire lifecycle. The role involves building at scale, ensuring customer experience, safety, security, data integrity, and implementing correctness and accuracy measurements and guardrails for agentic actions. | Agent | 7 |
| Software Development Engineer, JWO Software Development Engineer role within AWS Applied AI Solutions focused on building and scaling the Machine Learning platform for Just Walk Out (JWO) Technology. This involves working with computer vision, image recognition, machine learning, and distributed systems to power checkout-free shopping experiences. The role requires strong software engineering skills, including full-stack development, and experience with Java and AWS services. | Serve | 7 |
| Software Development Engineer II, Featured Merchant Algorithm Software Development Engineer II on the Featured Merchant Algorithm team at Amazon. This role involves working with machine learning models to select the best offer for customers on Amazon's product detail pages and search results. The team focuses on optimizing customer experience by considering factors like price, availability, and delivery options. The engineer will collaborate with various stakeholders to strategize and launch new features, using data to drive decisions and present impact. | Ship | 7 |
| Software Development Engineer II, Featured Merchant Algorithm Software Development Engineer II on the Featured Merchant Algorithm team at Amazon. This role involves working with machine learning models to select the best offer for customers on Amazon's product detail pages and search results. The team focuses on optimizing customer experience by considering factors like price, availability, and delivery options. The engineer will collaborate with various stakeholders to strategize and launch new features, using data to drive decisions and present impact. | Ship | 7 |
| Sr. Applied Scientist, Amazon Transportation Senior Applied Scientist role focused on designing and evaluating algorithms for predictive modeling and optimization in large-scale transportation planning systems. This involves developing novel machine learning and AI techniques to improve marketplace optimization solutions, working closely with business leaders and engineers to build scalable products, and implementing models within production systems. | Agent | 7 |
