Lead AI Governance & Cloud Architect
On-site · Sandy Springs, Georgia, United States
Job Summary
Lead AI Governance & Cloud Architect to design and operationalize enterprise AI infrastructure for a nationwide healthcare organization. Architecture responsibilities include secure AI environments across Azure and containers, enterprise governance frameworks, PHI/PI handling, prompt security, identity management, and AI usage policy enforcement. Role covers observability, monitoring for hallucinations and data leakage, logging/auditability, guardrails for safe deployment, CI/CD pipelines for AI/LLM systems, and leading Claude Enterprise implementation and cost/governance initiatives in HIPAA- and SOC2-regulated environments.
Required Qualifications
- 7+ years of experience in cloud architecture, infrastructure engineering, or platform engineering
- Proven experience deploying and governing enterprise AI or LLM solutions in production
- Deep expertise with Anthropic Claude Enterprise, AWS Bedrock, Azure OpenAI, or similar platforms
- Strong background in Azure infrastructure, Docker, secure networking, and private environment design
- Experience implementing LLMOps and observability tooling such as LangSmith, OpenTelemetry, DataDog for LLMs, or prompt monitoring platforms
- Strong understanding of HIPAA, PHI/PI handling, SOC2 readiness, and enterprise AI governance
- Experience building CI/CD pipelines and deployment standards for AI or machine learning systems
- Excellent communication and leadership skills with the ability to operate across technical and executive stakeholders
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