Director, AI, Data & Enterprise Architecture

The Senior AI Data and Enterprise Architect/Director is responsible for designing and governing the enterprise-wide architecture that enables trusted data, scalable analytics, and production-grade AI, including machine learning and generative AI, across the organization.

Requirements

• 10-12+ years of experience in enterprise architecture, data architecture, and/or platform architecture
• Bachelor's degree in computer science, Engineering, Information Systems, or related field (Master's preferred or equivalent experience)
• Strong understanding of AI/ML deployment architectures, including MLOps concepts (CI/CD, monitoring, reproducibility, model registry)
• Experience with cloud platforms (AWS/Azure/GCP) and cloud-native architecture (containers, Kubernetes, serverless, IaC)
• Strong grasp of security, privacy, and governance principles for data and AI systems

Benefits

• Flexible work arrangements
• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities