Lead AI Governance & Cloud Architect

At TRC Talent Solutions, we partner with forward-thinking organizations driving innovation across healthcare, enterprise technology, infrastructure, and digital transformation. Our clients trust us to identify elite technical leaders capable of building scalable, secure, and future-ready platforms within highly complex environments.

We are currently conducting a confidential search for a Lead AI Governance & Cloud Architect to help architect and operationalize enterprise AI infrastructure for a rapidly growing national healthcare organization.

Summary

This role sits at the intersection of AI innovation, cloud infrastructure, governance, and enterprise security. The Lead AI Governance & Cloud Architect will design and lead the secure framework powering enterprise-wide adoption of Claude Enterprise and advanced LLM technologies across a nationwide healthcare environment.

This is both a strategic and hands-on architecture position focused on building secure AI environments, implementing governance frameworks, and creating the operational controls required to scale AI responsibly within HIPAA- and SOC2-regulated systems.

The ideal candidate brings deep expertise in cloud architecture, enterprise AI governance, observability, and secure infrastructure design within highly regulated environments.

Responsibilities

• Architect secure, isolated AI infrastructure environments across Azure and containerized platforms

• Design enterprise governance frameworks for scalable and compliant AI operations

• Establish controls for PHI/PI handling, prompt security, identity management, and AI usage policies

• Partner with security and compliance teams to maintain HIPAA and SOC2 readiness

• Build enterprise observability and telemetry frameworks for LLM operations and AI governance

• Implement monitoring systems to detect hallucinations, prompt injection risks, model drift, unsafe outputs, and data leakage

• Develop logging, auditability, alerting, and AI operational monitoring capabilities

• Establish enterprise guardrails and safe deployment standards for AI systems

• Architect scalable Azure and Docker-based environments optimized for AI workloads

• Design secure networking, VPC isolation, and container orchestration strategies

• Develop deployment standards and CI/CD pipelines for AI and LLM-based systems

• Lead Claude Enterprise implementation and enterprise operationalization efforts

• Build token optimization, prompt caching, and AI cost-governance frameworks

• Define secure promotion workflows across development, staging, and production environments

Requirements

• 7+ years of experience in cloud architecture, infrastructure engineering, or platform engineering

• Proven experience deploying and governing enterprise AI or LLM solutions in production environments

• 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

TRC Talent Solutions is proud to be an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. At TRC, we take pride in fulfilling our opportunity to add value to our client's business as their staffing partner, while working tirelessly to connect thousands of individuals each year with work opportunities where they can meet the needs of their families and have the potential to build their careers.