Chicago or Detroit or Minneapolis or St. Louis or Kansas City or Omaha or Columbus or Tulsa or Nashville or Austin
$185k-$235k/yrFieldFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOE10+ years in technical pre-sales/solutions architecture; hands-on AI/ML infrastructure design across GPU, storage, networking and MLOps; NVIDIA and cloud platform experience; bachelor's degree required; strong presentation and whiteboarding skills.
NVIDIA DGX, NVIDIA HGX, CUDA, AI Enterprise, NeMo, Omniverse, Advanced Technology Center (ATC), AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data, MLOps
Kirkland & Ellis: Provides legal services for corporate, litigation, and transactional matters.
12+ YOE5+ MgmtBachelor's required; 12+ years infrastructure/platform/cloud engineering experience with 5+ years managing managers; 5+ years designing and operating production AI/ML platforms; deep Microsoft Azure and hybrid GPU experience; executive communication and governance knowledge.
Microsoft Azure, Microsoft Azure OpenAI, Microsoft Azure AI Foundry, Microsoft Azure AI Search, Microsoft Azure Kubernetes Service (AKS), Kubernetes, Docker, MLOps, CI/CD, Infrastructure-as-Code, GPU, Microsoft 365 (M365) Automation, FinOps
GE HealthCareNasdaq: GEHC: Develops and sells medical imaging and diagnostic technology.
10+ YOE10+ years designing enterprise software architectures, expertise in distributed systems, medical imaging (DICOM/PACS), cloud-native platforms, AI integration, and leading senior technical teams.
DICOM, PACS, AWS, Azure, Google Cloud, Kubernetes, C++, Python, Java, Go, CUDA
Senior Applied AI Solutions Architect — Amazon Connect, Applied AI SA - AIVT
Seattle or Arlington or Atlanta or New York or Denver or Herndon or Chicago or Mountain View or San Francisco
$154k-$208k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
7+ YOE7+ years in software/cloud domains, 3+ years design/implementation experience, ML/LLM experience, familiarity with MCP/A2A, hands-on with cloud integrations and agentic AI patterns.