Enterprise AI Architect - AI/ML Architecture

Role Overview:

Accountable for the end-to-end architecture, engineering blueprint, deployment model, operational readiness, security, governance and integration strategy of client's 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.

- Expertise in AI Governance.

- Strong experience in AI/ML Architecture.

- Expertise in Generative AI, LLMs, and AI Agents.

- Experience in Cloud and Hybrid Architecture.

- Strong knowledge of Kubernetes and Containers.

- Expertise in APIs and Integration.

- Experience in Data Architecture.

- Strong understanding of Networking.

- Expertise in Cybersecurity.

- Experience with DevSecOps and CI/CD.

- Knowledge of Observability and SRE.