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 workplace
- 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)
📌 AI Architect (Noida)
🏢 Anaptyss
📍 Noida
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