Note: The job is a remote job and is open to candidates in USA. MRO is a company focused on AI operations and security. They are seeking a Senior Analyst to manage the operational and security aspects of their AI tools, ensuring secure and efficient deployment across the organization.
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
Skills
- 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)
Benefits
- Annual cash bonus
- Medical, dental, vision, life insurance
- 401(k) plan
Company Overview
Company H1B Sponsorship