Job Description
8+ years in enterprise software architecture, with at least 3 years in AI/ML platform architecture
• Demonstrable experience designing production systems that were deployed in regulated environments —
financial services, healthcare, government, or equivalent — where architectural decisions had compliance
and regulatory implications
• Deep expertise in cloud-native architecture on Azure and/or GCP — proven ability to design production
systems using managed services, Kubernetes, IAM, encryption, and networking on at least one platform;
working familiarity with the other
• Experience designing BYOC (Bring Your Own Cloud) or tenant-isolated deployment models — where
customer data must remain within the customer's cloud environment
• Hands-on experience with confidential computing — Azure Confidential Computing (DCv3/Intel SGX),
GCP Confidential VMs (AMD SEV/Intel TDX), or equivalent — at the architecture level (not necessarily
implementation detail)