Cloud AI Application Administrator
Not Disclosed•ContractorHybrid
location_onUnorganized Borough, United States
About the Role
This position sits at the critical 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.
As a strategic and hands-on architect, you will build secure AI environments, implement robust governance frameworks, and create 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.
Work Environment
This is a hybrid role starting from day one. Local candidates in the Dunwoody, GA area are highly preferred.
Hiring Process
The interview process consists of a video interview.
Contact Information
For applications and inquiries, please contact hirings@openkyber.com.
Work location
Work model: Hybrid
Unorganized Borough, United States
Key Responsibilities
- check_circleArchitect secure, isolated AI infrastructure environments across Azure and containerized platforms
- check_circleDesign enterprise governance frameworks for scalable and compliant AI operations
- check_circleEstablish controls for PHI/PI handling, prompt security, identity management, and AI usage policies
- check_circlePartner with security and compliance teams to maintain HIPAA and SOC2 readiness
- check_circleBuild enterprise observability and telemetry frameworks for LLM operations and AI governance
- check_circleImplement monitoring systems to detect hallucinations, prompt injection risks, model drift, unsafe outputs, and data leakage
- check_circleDevelop logging, auditability, alerting, and AI operational monitoring capabilities
- check_circleEstablish enterprise guardrails and safe deployment standards for AI systems
- check_circleDesign secure networking, VPC isolation, and container orchestration strategies
- check_circleDevelop deployment standards and CI/CD pipelines for AI and LLM-based systems
- check_circleLead Claude Enterprise implementation and enterprise operationalization efforts
- check_circleBuild token optimization, prompt caching, and AI cost-governance frameworks
Requirements
- verified7+ years of experience in cloud architecture, infrastructure engineering, or platform engineering
- verifiedProven experience deploying and governing enterprise AI or LLM solutions in production environments
- verifiedDeep expertise with Anthropic Claude Enterprise, AWS Bedrock, Azure OpenAI, or similar platforms
- verifiedStrong background in Azure infrastructure, Docker, secure networking, and private environment design
- verifiedExperience implementing LLMOps and observability tooling such as LangSmith, OpenTelemetry, DataDog for LLMs, or prompt monitoring platforms
- verifiedStrong understanding of HIPAA, PHI/PI handling, SOC2 readiness, and enterprise AI governance
- verifiedExperience building CI/CD pipelines and deployment standards for AI or machine learning systems
Nice to Have
Local candidates (based in Dunwoody, GA)
Similar Job Opportunities
Frequently asked questions about Cloud AI Application Administrator at Openkyber
What does a Cloud AI Application Administrator at Openkyber do?expand_more
In this Cloud AI Application Administrator at Openkyber role, you will 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; and partner with security and compliance teams to maintain hipaa and soc2 readiness.
What are the requirements for this Cloud AI Application Administrator role?expand_more
Openkyber is looking for candidates who meet the following 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; and Strong understanding of HIPAA, PHI/PI handling, SOC2 readiness, and enterprise AI governance.
Where is the Cloud AI Application Administrator role at Openkyber located?expand_more
Cloud AI Application Administrator at Openkyber is based in Unorganized Borough, United States. This is a hybrid role.
Is this Cloud AI Application Administrator job remote, hybrid, or on-site?expand_more
Openkyber has listed this Cloud AI Application Administrator role as hybrid.
How much experience is required for this Cloud AI Application Administrator role?expand_more
Cloud AI Application Administrator at Openkyber typically requires 7+ years of relevant experience at the lead level.
What skills do you need for the Cloud AI Application Administrator role at Openkyber?expand_more
Key skills for Cloud AI Application Administrator at Openkyber include Azure; Docker; Anthropic Claude Enterprise; Aws Bedrock; Azure Openai; Llmops; Langsmith; and Opentelemetry.
What category does the Cloud AI Application Administrator role belong to?expand_more
Cloud AI Application Administrator at Openkyber is part of the it job category on Recrutus.