Sr. AI Architect - Enterprise (US)

What you'll do

• Design and oversee sovereign AI architectures, reference designs, and implementation across the solution lifecycle.
• Develop AI governance and risk controls, incorporating data sovereignty, privacy, security, auditability, and regulatory requirements.
• Advise customers and senior stakeholders, lead technical workshops and reviews, and mentor architects.

What they ask for

• Demonstrated experience deploying and configuring enterprise Kubernetes, including Rancher RKE2, Red Hat OpenShift, or CNCF Kubernetes.
• 5+ years of hands-on Linux experience.
• Familiarity with SLURM on Kubernetes frameworks, Ansible automation, and REST APIs for product integrations.
• Familiarity with HPC architectures, network topologies, high-performance storage, and NVIDIA AI Enterprise tools, specifically BCM and DCGM.

Nice to have

• Experience with Sovereign Cloud, MLOps, or compliance-led AI deployments; familiarity with EU AI Act, GDPR, HIPAA, FedRAMP, CJIS, or related frameworks.
• Professional services, consulting, or large-scale transformation experience; experience launching a new sales motion or offering.

Pay

USD 183,000 - 378,000 (combined base salary and target-level sales compensation; 80%/20% mix) in California & New York; USD 161,000 - 378,000 (combined base salary and target-level sales compensation; 80%/20% mix) in Georgia & North Carolina & Texas

Tools

Rancher RKE2, Red Hat OpenShift, CNCF Kubernetes, SLURM, Slinky, SUNK, Ansible, REST APIs

AI focus

Architects and governs sovereign AI/ML deployments, including responsible AI, model lifecycle management, inference infrastructure, security, and risk monitoring.