…The Amazon Optics team builds and manages services used by AWS employees to secure our physical sites. Our services allow customers to protect AWS…

…These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress…

…Beyond individual contribution, you will set the long-term technical vision across work streams, and influence product managers, engineers, scientists, and senior leaders on…

…The model could be a working group of AI-forward reps, managers, and leaders organized around defined themes in Sales & Onboarding, contributing domain expertise…

…Familiarity with AI/ML concepts, especially in areas such as Machine Learning, Inference, Performance Optimization, Capacity Management, and Inference Efficiency and Optimizations. Ability to…

…including Inferentia and Trainium Systems — delivering high-performance ML inference and training at cloud scale. We’re looking for a Senior Manager, Physical Design…

…autonomous driving - Track record of successful production ML deployments - Experience with large-scale distributed environments for ML training and inference - History of impactful first…

…As the Senior Manager of Solutions Architecture for Energy & Utilities, you will lead an elite team of Solutions Architects who excel at industry transformation…

…model inference, data pipelines, responsible AI compliance, safety guardrails, and graceful degradation at scale. Qualifications 12+ years of experience in program management and/or…

…Preferred Qualifications Experience managing teams that build AI platforms, agent runtimes, inference systems, or developer platforms. Experience with GPU inference optimization, model serving, workflow…

…What You Will Do Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance Establish company…

…agent behavior in production and catch failures before customers do Prompt infrastructure : Build prompt management systems — versioning, templating, and systematic evaluation — that keep agent…

…This will include leading incident management calls with customers and senior leadership, the timely resolution of incidents, post-incident reviews, and the implementation of…

…As a Senior Technical Program & Product Manager within Platform Engineering, you will partner with team leaders to understand organizational needs, align on priorities, and…

…with internal and external customers Liaise with team members, management, and clients Be transparent about challenges, failures, and successes, including the limitations and non…

…with internal and external customers Liaise with team members, management, and clients Be transparent about challenges, failures, and successes, including the limitations and non…

…memory, inference) and APIs, enterprise data grounding via Graph/D365/connectors. Azure Fabric & Azure AI Foundry — One Lake-based unified data management, Lakehouse architecture…

…Serve as the primary strategic technical advisor to customers' senior and executive stakeholders, shaping their long-term AI inference strategies and guiding them from…

…Managers, and AWS Trainers - Serve as a key member of the business development and accounting management team in helping to ensure customer success in…

…These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress…

…Ensure backlog items reflect customer value, technical feasibility, and compliance requirements Build and manage frameworks to track key product success metrics, including cost optimization…

…Senior Software Engineer who loves to build scalable, highly available, and secure microservices that run in Kubernetes. The Infrastructure team focuses on managing a…

…Agentic technologies across their organisation. • You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability…

…Build contact quality scoring and lifecycle management systems (coverage optimization, dormancy detection, reactivation modeling). Define success metrics, experimentation frameworks (A/B, causal inference), and…

…that have been successfully delivered to customers - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of…