Role Overview :

Accountable for the end-to-end architecture, engineering blueprint, deployment model, operational readiness, security, governance, and integration strategy of enterprise AI systems. Ensuring that AI solutions operate as secure, scalable, compliant, and business-aligned systems across models, applications, infrastructure, data, networks, and external dependencies.

Note: The role is for someone who is T-shaped, rather than an expert only in AI.

Key Responsibilities :

- End-to-end AI system architecture
- Infrastructure and deployment
- AI engineering ecosystem development
- Business rules and AI controls
- Integration and external ecosystem
- Security, risk, and compliance
- Reliability and operations
- Technology and vendor strategy
- Architecture governance

Skills :

- Solid expertise in Enterprise Architecture and AI Governance.
- Strong experience in AI/ML Architecture, Generative AI, LLMs, and AI Agents.
- Experience in Cloud and Hybrid Architecture, Kubernetes, and Containers.
- Expertise in APIs, Integration, Data Architecture, Networking, and Cybersecurity.
- Experience with DevSecOps, CI/CD, Observability, and SRE.

📌 Enterprise AI Architect (India)
🏢 Nasugroup
📍 India