Software Development Engineer III at Amazon Annapurna Labs, focused on building AI agents and tools to simplify and accelerate customer adoption of AWS Neuron, the software stack for Amazon's ML silicon (Trainium). The role involves technical leadership, research, and delivery of innovative software solutions to improve ML workload porting and optimization on AWS hardware.

Principal Software Engineer for Amazon's Alexa AI organization, focusing on the AI runtime backbone (Aurora). The role involves architecting and delivering large-scale, multi-modal, multi-lingual, and multi-model AI systems, including orchestration, routing, and inference optimization. Responsibilities include building evaluation infrastructure, ensuring responsible AI deployment, and defining technical strategy for AI experiences. This is a senior engineering role focused on production systems at scale.

Applied Scientist II role focused on designing, developing, and deploying Generative AI and LLM solutions for Amazon. The role involves working with foundation models, prompt engineering, RAG, fine-tuning, and production deployment of AI systems, with a focus on applied research and evaluation.

This role is for a Senior Software Development Manager leading a team to build AI agents and tools that simplify and accelerate customer adoption of AWS Neuron, a software stack for Amazon's Machine Learning silicon (Trainium). The focus is on applying Generative AI to improve the process of porting and optimizing ML workloads on Neuron, involving collaboration with scientists, engineers, and customers.

This role focuses on developing training environments, tasks, and integrations for scaling RL environments and core model capabilities for browser-based agents. The primary responsibility is to architect and deliver robust software solutions, including agentic harnesses, and engineer high-performance systems using TypeScript and Python.

Senior Machine Learning Engineer at AWS Applied AI Solutions focused on building a new agentic product. The role involves transforming research into production systems, owning end-to-end deployment of Generative AI and ML methods, and establishing scalable processes for model development, validation, and serving. Requires expertise in agentic systems, production ML, and scalable deployment architectures, bridging research and customer-facing products.

Senior technical leader to architect an intelligent decision-making platform using advanced AI/ML models for dynamic, context-aware decisions at scale. Focuses on generalized analytical patterns, multi-tenant processing, real-time context, and automated discovery within a large-scale, distributed system. The role involves building platform-level capabilities and ensuring pattern sharing while maintaining tenant isolation.

Lead a team to invent and build the SPB-Agent, a GenAI platform transforming retail-media advertising for Amazon advertisers. This agent will act as an intelligent advisor integrated into Amazon Ad Console and Seller/Vendor portals, using conversational interfaces and deep reasoning to help advertisers discover growth opportunities, optimize campaigns, and execute strategies at scale.

This role focuses on designing and deploying GenAI, NLP, and Computer Vision solutions to enhance customer experience and automate operations within Amazon's retail business. It involves developing novel ML models for task automation, text and image processing, and anomaly detection, with a strong emphasis on multi-modal LLM agents and retrieval systems.

This role leads the development of generative AI applications for advertisers, focusing on agentic experiences for recommendations and guidance. It involves fine-tuning, reinforcement learning, and preference optimization, with a strong emphasis on creating customer-facing products and mentoring AI talent.

Senior Applied Scientist role focused on developing and deploying machine learning models for Amazon's autonomous delivery systems, specifically in perception, prediction, and decision-making for autonomous vehicles. The role involves designing algorithms, leading research, transforming concepts into production, creating evaluation frameworks, and collaborating with engineering teams.

Principal Applied Scientist role focused on building industry-leading Conversational AI Systems using Generative AI, LLMs, NLU, Dialog Systems, and Applied ML. The role involves developing novel algorithms and modeling techniques to advance human language technology, impacting millions of customers through products and services. It requires a PhD, extensive experience in ML model building for business applications, and a strong publication/patent record. The team uses generative AI and foundation models to reimagine customer experiences on AWS.

Applied Scientist role focused on developing and optimizing delivery capacity in Amazon's Last Mile network. Requires strong skills in Operations Research or Machine Learning, building ML models, developing algorithms for business applications, and optimizing system policies. The role involves turning business requirements into mathematical models, contributing to production systems, and analyzing data.

This role focuses on designing, developing, and evaluating innovative optimization and machine learning models for Amazon's outbound transportation planning and execution systems. The scientist will work with large-scale data and distributed computing on the cloud to optimize inventory and shipments, reduce transportation costs, and improve customer experience. Collaboration with product managers and software engineers is key to building and integrating these solutions into production systems.

AWS Professional Services is seeking an AI/ML Architect to help Canadian Public Sector clients adopt and implement ML and Generative AI solutions. The role involves understanding business challenges, designing and building ML/GenAI solutions using AWS services, and collaborating with engineering teams to bring them to production.

This role is for a Partner Solutions Architect focused on driving innovation for SAP on AWS, with a strong emphasis on generative AI and agentic systems. The individual will architect and deliver solutions, proofs of concept, and reference architectures, combining AWS services with SAP technologies. They will leverage deep AI/ML and SAP functional expertise to solve complex customer problems and build partner capabilities. The role involves engaging with C-suite executives and technical practitioners to drive business-value-led conversations and influence the AWS product roadmap.

Applied Scientist role focused on developing and optimizing delivery capacity in Amazon's Last Mile network. Requires strong skills in Operations Research or Machine Learning, building ML models, developing algorithms for business applications, and optimizing system policies. The role involves turning business requirements into mathematical models, contributing to production systems, and analyzing data.

Senior Technical Program Manager to drive organizational effectiveness through hands-on development of AI-powered tools, automation, and knowledge systems for the Field Engineering team within AWS Infrastructure Services. The role focuses on leveraging generative AI technologies, including Amazon QuickSight, to streamline processes, enhance engineering analysis, and accelerate availability solutions.

Senior Solutions Architect focused on helping GovTech ISVs build and scale generative AI and agentic systems on AWS, with a strong emphasis on regulated environments. The role involves guiding technical strategy, architecture, and productionization of AI prototypes into robust, scalable applications.

Senior Solutions Architect for GovTech ISVs, focusing on helping them build and scale generative AI and agentic systems on AWS. The role involves guiding technical strategy, architecture, and security for regulated environments, with an emphasis on modernizing platforms and ensuring AI solutions are production-ready.

Software Development Engineer role focused on building applied AI solutions, specifically agentic products, within the AWS Applied AI Solutions organization. The role involves transforming research into production systems, owning end-to-end deployment of Generative AI and ML methods, and establishing scalable processes for ML development and serving.

This role is for an AI Specialist Solutions Architect (SSA) at AWS, focusing on helping enterprise customers adopt and scale GenAI/ML and Agentic technologies. The role involves building technical relationships, advising on architectures, and advocating for customer needs to influence AWS roadmaps. It requires a strong understanding of production software and LLM deployment, with a focus on translating AI ambitions into scalable, operational programs.

Software Development Engineer role focused on building and optimizing AI-powered personalization and recommendation systems for Prime Video's Linear TV segment. The role involves designing and implementing high-performance personalization systems, productionizing ML models with Applied Scientists, architecting data pipelines, developing real-time serving infrastructure, and leading A/B testing frameworks. Requires strong software development skills, experience with ML frameworks, SQL, distributed systems, and knowledge of recommendation systems and model serving.

Senior ProServe Cloud Architect for Healthcare and Life Sciences at AWS, focusing on designing and implementing AI and cloud solutions for pharmaceutical customers. This role involves understanding customer business objectives, architecting scalable AWS solutions for clinical development challenges, and advising on emerging technologies including agentic AI applications. The position requires deep domain knowledge of the pharmaceutical sector, including data standards and compliance frameworks, and collaboration with various AWS teams to drive innovation and customer success.

This role focuses on building Generative AI and LLM-powered solutions for forecasting, operational dashboards, and workforce optimization. It involves creating agentic AI systems for natural language querying, root cause analysis, and recommendation engines, utilizing transformer architectures and prompt engineering.

Senior Solutions Architect for GovTech ISVs, focusing on helping them build and scale generative AI and agentic systems on AWS. The role involves guiding technical strategy, architecture, and security for regulated environments, with an emphasis on modernizing platforms and ensuring AI solutions are production-ready.

This role involves building AI-powered automation solutions to bridge Salesforce and Amazon Advertising systems, focusing on campaign trafficking and workflow orchestration. The engineer will develop scalable technology solutions, collaborate with cross-functional teams, and contribute to AI/LLM automation initiatives by integrating Generative AI models into production workflows.

Senior AI/ML Architect role within AWS Professional Services, focusing on building and deploying ML and Generative AI solutions for Canadian Public Sector clients. The role involves understanding business needs, designing solutions using AWS ML services, collaborating with engineering teams, and supporting projects from inception to production.

Software Development Engineer role focused on productizing Generative AI experiences for advertisers at Amazon Advertising. The role involves building customer-facing features, designing and deploying scalable distributed services, and working with various AI technologies like diffusion models, LLMs, computer vision, and reinforcement learning. It requires strong full-stack coding expertise and an understanding of AI agent concepts.

Software Engineer II role focused on deploying autonomous agents for supply chain optimization, leveraging generative AI and ML to build intelligent infrastructure. The role involves designing and deploying AI systems/agents, building Gen AI technologies with AWS, and collaborating with cross-functional teams.

Software Development Engineer role on the Data Center Gen AI team at AWS, focused on building generative AI solutions for data center operations. The role involves developing intelligent systems that optimize technician workflows, automate decision-making, and enhance operational efficiency using LLM integration, RAG, agent frameworks, and full-stack serverless technologies. The position aims to transform data center operations through AI/ML innovations and build platform primitives for other teams.

Partner Solutions Architect focused on Data and AI Go-To-Market (GTM) for Amazon QuickSuite, with a primary emphasis on designing and implementing enterprise BI solutions, AI-powered analytics platforms, and agentic AI systems for workplace automation. The role involves collaborating with partners and customers to adopt AWS services, devising engagement strategies, and providing architectural guidance for AI-driven business intelligence and autonomous workplace agents.

This role involves designing and developing AI-powered automation solutions to bridge Salesforce and Amazon Advertising systems, focusing on campaign trafficking and workflow orchestration. The engineer will build scalable technology solutions, collaborate with cross-functional teams, and contribute to AI/LLM automation initiatives by integrating Generative AI models into production workflows. The role also includes developing monitoring, alerting, and automated testing frameworks, troubleshooting complex technical issues, and driving continuous improvement.

This role focuses on designing and implementing data and AI solutions on AWS for enterprise customers in the manufacturing and semiconductor industries. The architect will lead the design of end-to-end data architectures and AI/ML solutions using AWS services, with a specific emphasis on generative AI architectures like RAG, fine-tuning, and AI agents. The role involves collaborating with stakeholders, mentoring junior architects, and developing reusable assets.

This role focuses on enabling AWS partners to build, scale, and sell Generative AI solutions, specifically Foundation Models and Agentic solutions. The Solutions Architect will develop joint solutions, create go-to-market strategies, and drive technical enablement. Key responsibilities include architecting integrated solutions, building proof-of-concepts, influencing partner roadmaps, and creating technical content. The role requires deep technical expertise in GenAI, strong partner relationship management, and the ability to act as a technical liaison.

This role focuses on building and deploying AI-powered risk assessment and classification pipelines to automatically categorize escalations, identify abuse patterns, and quantify systemic defects within Amazon's marketplace. It involves using AI/ML infrastructure to develop topic models, root cause classifiers, and risk scoring frameworks, and integrating these into operational workflows to improve risk intelligence and prevent abuse. The role also involves studying investigation processes to identify areas for AI-driven automation or augmentation.

Data Scientist II on the Alexa Smart Home team to develop machine learning models, analytical frameworks, and Gen-AI powered solutions that improve product quality, inform strategic decisions, and enable proactive detection of customer experience issues. This role involves working with large-scale behavioral and interaction datasets, designing experimentation frameworks, and partnering with engineering, product, and science teams to deliver data-driven solutions.

Software Development Engineer II role focused on building an AI-native framework for customer experience engineering within Amazon Prime. The role involves designing and developing Agentcore infrastructure, multi-agent orchestration, and autonomous experimentation capabilities, aiming to compress CX development from weeks to hours using GenAI.

Senior AI/ML Architect role within AWS Professional Services, focusing on building and deploying ML and Generative AI solutions for Canadian Public Sector clients. This involves understanding business needs, designing solutions using AWS ML services, collaborating with engineering teams, and supporting projects from inception to production.

Software Development Manager leading a team to build AI-powered customer support products for Amazon Advertising, focusing on AI agents and automation for advertiser case resolution and campaign management.

Software Development Engineer role in Amazon's Finance Technology group, focusing on building big data and ML systems for fraud detection using Generative AI and LLMs. The role involves developing ML pipelines to process large transaction volumes and collaborating with scientists and finance teams.

Senior Specialist Solutions Architect for AI at AWS Mexico, focusing on architecting enterprise-grade AI/ML and generative AI solutions for C-suite executives. Requires deep technical experience in ML, GenAI, and agentic capabilities, including LLM customization, fine-tuning, inference optimization, agentic frameworks, RAG, and prompt engineering, with a focus on delivering measurable business outcomes and adhering to governance and compliance standards.

Software Development Engineer role focused on building and managing Agentic AI capabilities for AWS analytics services, specifically an Apache Spark Upgrade Agent that uses conversational interfaces and automated code transformation to reduce upgrade timelines. The role also involves managing a Model Context Protocol server for AI assistants and Agents, providing secure access to troubleshooting and code recommendation tools.

Applied Scientist II role focused on developing and deploying machine learning models and data-driven solutions for operational efficiency in Amazon's Fulfillment Centers and Transportation Sites. The role involves working with diverse datasets and ML frameworks to create predictive models, optimization algorithms, and intelligent automation, with a focus on scalability and production readiness. The team specifically handles network device management through a user-friendly, auditable mechanism for provisioning, configuration, and policy management.

Applied Scientist role focused on building causal ML systems for Amazon's pricing decisions. The role emphasizes shipping production-quality pipelines with real business impact, bridging econometric analysis and ML pipelines. Responsibilities include designing, training, and deploying causal estimation models, owning causal ML methodology, supporting pricing experiment analysis, and connecting model outputs to business outcomes.

Software Development Engineer role focused on building AI-powered planning infrastructure for Amazon Ads. The role involves designing and delivering agentic skills, multi-step orchestration workflows, scalable APIs, and ML-informed optimization services. The tech stack includes TypeScript, Python, and AWS services.

AI Engineer role focused on deploying and productizing agentic AI models for automation at scale within Amazon Business EU. Responsibilities include developing AI agents, owning end-to-end deployment, establishing scalable ML processes, and contributing to customer-facing features.

Data Scientist II role focused on building LLM-powered financial forecasting and knowledge retrieval systems, including RAG, for Amazon's WW Ops FP&A team. Requires translating business ambiguity into production-grade AI solutions and influencing roadmaps.