AI Operations & Security, Senior Analyst

Responsibilities

• Administer and configure AI tools and platforms (Claude, MS Copilot, GitHub Copilot, and others): feature configuration, usage monitoring, and optimization, in partnership with IT admin/infrastructure and ServiceDesk.
• Configure and review security settings for MCP servers, connectors, and AI tools to enable fast, safe tool rollouts; partner with InfoSec on AI tool security approval and monitoring across developer and non-developer populations.
• Own the platform layer for AI context at scale: the registry, access control, and infrastructure on which prompt libraries, skills, repeatable workflows, MCP servers, and connectors live.
• Monitor AI tool health, track token and compute costs, flag anomalies, and support cloud operations for AI workloads.
• Own AI transformation analytics and reporting in partnership with IT and Engineering: build and maintain dashboards tracking adoption, usage, cost-per-tool, and ROI across internal and product-embedded AI initiatives.
• Partner with Engineering and IT to support LLM API operations and cloud resource deployment.
• Own AI governance and security acceleration: maintain AI FAQs and the security questionnaire library; respond to enterprise AI security reviews.
• Contribute AI-specific content to RFP responses, compliance questionnaires, and contracting support for the commercial org as needed.
• Manage AI vendor due diligence and third-party risk assessments.
• Develop and maintain AI governance documentation: risk framework, AI workflow catalog, and PHI handling protocols.

Qualifications

• 3–5 years in cloud operations, DevOps, or IT operations roles, ideally within healthcare or a HIPAA-regulated industry.
• Hands-on cloud experience across GCP, Azure, or AWS: provisioning and configuring resources, and working with containers/services (e.g., Docker, Kubernetes, or equivalent).
• Familiarity with AI tools and agentic workflows.
• Proficient with data analysis, reporting, and dashboard creation.
• Experience administering enterprise SaaS platforms (user management, SSO configuration, usage analytics, cost tracking).
• Working knowledge of HIPAA Privacy/Security Rules, SOC 2 Type II, or HITRUST frameworks, and how they apply to AI tooling.
• Strong technical writing skills for documentation and security artifacts.
• Hands-on DevOps tooling experience: CI/CD and Infrastructure-as-Code (e.g., Terraform).
• Experience with cloud cost management and FinOps practices.
• Experience with AI/ML-specific security considerations (model governance, prompt-injection risks, MCP/connector security, data handling).
• Experience with enterprise AI platforms (Vertex AI, Azure AI Foundry, Bedrock).
• Familiarity with BI/analytics pipelines (BigQuery, SQL, Python).
• Background in healthcare data exchange (FHIR, HL7, clinical data workflows).

Pay

Total Compensation: Base pay is one element of the total compensation package. Eligible employees may also receive an annual cash bonus and have access to a comprehensive benefits offering, including medical, dental, vision, life insurance, and a 401(k) plan. Salary Range: USD $92,000.00 - USD $124,000.00 /Yr.