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 :

- Strong 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.