AI Architect

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)