Define and maintain enterprise AI architecture principles, standards, and reference architectures
Establish approved AI platforms, patterns, and integration approaches across the enterprise
Provide architectural oversight and design guidance for AI initiatives from concept through production
Participate in and support architecture and AI governance forums (e.g., ARB, AI Working Groups)
Evaluate AI tools, platforms, and solutions for architectural fit, risk, and scalability
Ensure AI solutions comply with security, privacy, regulatory, and Responsible AI requirements
Partner with Security, Legal, Risk, Data, and Engineering teams to assess and mitigate AI risks
Define guardrails for model usage, data access, agent autonomy, and human‑in‑the‑loop controls
Review and approve AI solution designs, architecture decision records, and technical standards
Communicate AI architecture guidance to technical and non‑technical stakeholders

Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience
8+ years of experience in enterprise, solution, or platform architecture
3+ years of experience designing or governing AI, ML, or data‑driven systems
Experience working in large‑scale enterprise or regulated environments
Strong understanding of cloud platforms (Azure, AWS, or GCP) and cloud‑native architecture
Knowledge of security, identity, access management, and compliance concepts

Enterprise AI Architect

Key skills