{"schemaVersion":"jobsearcher.job.v1","id":"d97d563609c83fe8ac3d7f3a","url":"https://jobsearcher.com/jobs/d97d563609c83fe8ac3d7f3a","canonicalUrl":"https://jobsearcher.com/jobs/d97d563609c83fe8ac3d7f3a","title":"Lead AI Governance & Cloud Architect","description":"Lead AI Governance & Cloud ArchitectThis 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.ResponsibilitiesArchitect secure, isolated AI infrastructure environments across Azure and containerized platformsDesign enterprise governance frameworks for scalable and compliant AI operationsEstablish controls for PHI/PI handling, prompt security, identity management, and AI usage policiesPartner with security and compliance teams to maintain HIPAA and SOC2 readinessBuild enterprise observability and telemetry frameworks for LLM operations and AI governanceImplement monitoring systems to detect hallucinations, prompt injection risks, model drift, unsafe outputs, and data leakageDevelop logging, auditability, alerting, and AI operational monitoring capabilitiesEstablish enterprise guardrails and safe deployment standards for AI systemsArchitect scalable Azure and Docker-based environments optimized for AI workloadsDesign secure networking, VPC isolation, and container orchestration strategiesDevelop deployment standards and CI/CD pipelines for AI and LLM-based systemsLead Claude Enterprise implementation and enterprise operationalization effortsBuild token optimization, prompt caching, and AI cost-governance frameworksDefine secure promotion workflows across development, staging, and production environmentsRequirements7+ years of experience in cloud architecture, infrastructure engineering, or platform engineeringProven experience deploying and governing enterprise AI or LLM solutions in production environmentsDeep expertise with Anthropic Claude Enterprise, AWS Bedrock, Azure OpenAI, or similar platformsStrong background in Azure infrastructure, Docker, secure networking, and private environment designExperience implementing LLMOps and observability tooling such as LangSmith, OpenTelemetry, DataDog for LLMs, or prompt monitoring platformsStrong understanding of HIPAA, PHI/PI handling, SOC2 readiness, and enterprise AI governanceExperience building CI/CD pipelines and deployment standards for AI or machine learning systemsExcellent communication and leadership skills with the ability to operate across technical and executive stakeholders","company":"ShiftCode Analytics","rawCompany":"shiftcode analytics","city":"Atlanta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-06-26T03:30:26.754Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead AI Governance & Cloud Architect","description":"Lead AI Governance & Cloud ArchitectThis 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.ResponsibilitiesArchitect secure, isolated AI infrastructure environments across Azure and containerized platformsDesign enterprise governance frameworks for scalable and compliant AI operationsEstablish controls for PHI/PI handling, prompt security, identity management, and AI usage policiesPartner with security and compliance teams to maintain HIPAA and SOC2 readinessBuild enterprise observability and telemetry frameworks for LLM operations and AI governanceImplement monitoring systems to detect hallucinations, prompt injection risks, model drift, unsafe outputs, and data leakageDevelop logging, auditability, alerting, and AI operational monitoring capabilitiesEstablish enterprise guardrails and safe deployment standards for AI systemsArchitect scalable Azure and Docker-based environments optimized for AI workloadsDesign secure networking, VPC isolation, and container orchestration strategiesDevelop deployment standards and CI/CD pipelines for AI and LLM-based systemsLead Claude Enterprise implementation and enterprise operationalization effortsBuild token optimization, prompt caching, and AI cost-governance frameworksDefine secure promotion workflows across development, staging, and production environmentsRequirements7+ years of experience in cloud architecture, infrastructure engineering, or platform engineeringProven experience deploying and governing enterprise AI or LLM solutions in production environmentsDeep expertise with Anthropic Claude Enterprise, AWS Bedrock, Azure OpenAI, or similar platformsStrong background in Azure infrastructure, Docker, secure networking, and private environment designExperience implementing LLMOps and observability tooling such as LangSmith, OpenTelemetry, DataDog for LLMs, or prompt monitoring platformsStrong understanding of HIPAA, PHI/PI handling, SOC2 readiness, and enterprise AI governanceExperience building CI/CD pipelines and deployment standards for AI or machine learning systemsExcellent communication and leadership skills with the ability to operate across technical and executive stakeholders","datePosted":"2026-06-26T03:30:26.754Z","dateModified":"2026-06-26T03:30:26.754Z","hiringOrganization":{"@type":"Organization","name":"ShiftCode Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d97d563609c83fe8ac3d7f3a"},"url":"https://jobsearcher.com/jobs/d97d563609c83fe8ac3d7f3a"}}