Artificial Intelligence Specialist

OverviewThe AI Specialist is a senior individual contributor who helps lead the design governance and disciplined adoption of artificial intelligence at LWCC. Reporting to the Chief Information Officer this role partners across Information Technology Risk Legal and Compliance Underwriting Claims Safety Finance and Human Resources to translate the enterprise AI strategy into practical well-governed capabilities that strengthen how LWCC serves Louisiana policyholders and injured position is a hands-on builder and a trusted internal advisor. The AI Specialist evaluates and implements approved AI platforms (including Microsoft Copilot Salesforce Agentforce and Anthropic Claude) leads use case discovery and prioritization and helps operationalize the responsible-AI framework expected of a regulated insurance carrier. The role requires equal fluency in technology risk and the business of workers Areas of AccountabilityAI Strategy & RoadmapSupport the CIO and executive leadership in executing the LWCC AI strategic roadmap including OKRs (Objectives & Key Results metrics) phased implementation milestones and measurable business a current prioritized enterprise AI backlog aligned to corporate strategy risk appetite and departmental business strategic direction into actionable plans for pilots scaled deployments and sunset Governance Risk & CompliancePartner with the Chief Information Officer on the LWCC AI governance framework including model inventory intake and approval workflows acceptable use and ongoing recognized frameworks (NIST AI Risk Management Framework NAIC Model Bulletin on the Use of AI by Insurers ISO/IEC 42001) to the design and review of AI use Louisiana legislative and regulatory developments affecting AI in insurance (including civil liability consumer rights employment and health-care-related provisions) and help translate requirements into internal bias hallucination data leakage vendor lock-in and model drift risks for each use case; recommend technical and procedural third-party risk reviews of AI vendors including model provenance data handling security posture and contractual Case Discovery & DeliveryFacilitate structured use case identification across business units; qualify opportunities using value feasibility risk and data-readiness or co-lead delivery of approved AI pilots and production implementations working with IT engineering data and business prompts agents retrieval patterns and integration flows that meet LWCCs quality security and auditability outcomes against defined success metrics; close the loop with sponsors governance and the board reporting & Tooling EnablementServe as LWCCs subject-matter resource for approved AI platforms including Microsoft 365 Copilot Salesforce Agentforce and Anthropic Claude (including Claude Code for approved technical users).Maintain reference architectures configuration standards and usage guardrails for each approved emerging AI tools and capabilities against LWCC requirements and recommend additions replacements or Enablement Training & CulturePartner with Human Resources to build role-based AI fluency across the training office hours and enablement content that helps employees apply AI thoughtfully in their daily work and identify high-value use cases from the front a culture of curiosity human oversight and responsible experimentation reinforcing that AI augments LWCCs people and does not replace the judgment required to serve QualificationsExperience in insurance financial services healthcare or another highly regulated industry; workers compensation or property and casualty experience is a meaningful with the NAIC Model Bulletin on the Use of Artificial Intelligence Systems by Insurers and the Louisiana Department of Insurance regulatory -on experience with Microsoft 365 Copilot Salesforce or Anthropic Claude / Claude with retrieval-augmented generation (RAG) agentic workflows evaluation frameworks and model to NIST AI RMF ISO/IEC 42001 COSO ERM or NIST Cybersecurity Framework in and ExperienceBachelors degree in Computer Science Information Systems Data Science Analytics Engineering Insurance Business or a related field; equivalent professional experience of 5 years of progressive experience in technology data analytics or systems with at least 1 years focused on applied generative AI machine learning innovation or automation in an enterprise knowledge of at least one enterprise AI platform in production use (e.g. Microsoft Copilot Salesforce Agentforce Anthropic Claude OpenAI/Azure OpenAI Google Gemini or equivalent).Practical understanding of AI risk domains: data privacy and protection model bias hallucination prompt security access controls and written and verbal communication skills including the ability to brief executive and non-technical audiences with clarity and precision.