Lead AI Governance & Cloud Architect

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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.

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What does success look like in this role, and how is it measured?

Why ask this? You want to ensure you have a clear understanding of expectations before accepting the role. Knowing how success is measured helps you hit the ground running and avoid surprises about performance evaluations. It also signals to the employer that you're results-driven.

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What are the biggest challenges facing the person in this role right now?

Why ask this? Every job has challenges, and it’s better to know them upfront. This helps you assess whether the role is a good fit for your strengths and whether the company is realistic about its expectations. If they hesitate to answer, it could be a red flag.

How does the company support work-life balance and employee well-being??

Why ask this? Burnout is real, and some companies expect employees to sacrifice personal time for the job. By asking this, you’ll get a sense of how they value work-life balance, flexibility, and well-being—things that are crucial for job satisfaction and long-term success.

These questions help you make an informed decision while also showing your professionalism and strategic thinking!

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