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Ai Risk Manager Jobs in Baton Rouge, LA (NOW HIRING)

micro1 AI

Lawyer (Asset Management)

Baton Rouge, LA · Remote

$90 - $130/hr

... state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment. Key ...

Varsity Tutors

Corporate Finance Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... risk management, and corporate valuation techniques. Ability to explain Modigliani-Miller ...

Volkert Inc

Senior Project Manager

Baton Rouge, LA · On-site

Utilize project management tools and BIM (Building Information Modeling) to de-risk schedules and ... Navigate the evolving 2026 legislative landscape in Louisiana regarding AI infrastructure, water ...

Varsity Tutors

Cyber Security Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... risk management, compliance requirements, and ethical computing practices. * Curriculum Awareness ...

Varsity Tutors

CFP Tutor

Baton Rouge, LA · Remote

$35 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... risk management and insurance, investment planning, tax planning, retirement savings and planning ...

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Ai Risk Manager information

See Baton Rouge, LA salary details

$49.5K

$107.1K

$163.2K

How much do ai risk manager jobs pay per year?

As of Jul 23, 2026, the average yearly pay for ai risk manager in Baton Rouge, LA is $107,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $123,900.00 per year, depending on experience, location, and employer.

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Baton Rouge, LA? For Ai Risk Manager jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Baton Rouge, LA look for? The top searched job categories for Ai Risk Manager jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Ai Risk Manager jobs? Cities near Baton Rouge, LA with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you

Artificial Intelligence Specialist

Louisiana Workers' Compensation Corporation

Baton Rouge, LA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

Job description

LWCC, Louisiana Workers' Compensation Corporation, is a private mutual workers' comp company. We are dedicated to excellence in execution from underwriting to compassionate care of injured workers. Our purpose is to help Louisiana thrive by bettering our state one business and one worker at a time. LWCC has been consistently recognized by industry leaders and named to the Ward's 50® group of top-performing insurance companies, supporting our promise to provide safety, security, and stability to businesses in Louisiana.
Our company offers an excellent benefits package including health, dental, vision, life and disability insurance; a 401(k) savings plan; educational assistance; and an on-site fitness center. LWCC is an equal opportunity employer and does not discriminate on the basis of race, creed, color, national origin, religion, sex, age, handicap, Vietnam era or disabled veteran status.
Thank you for your interest in LWCC. We invite you to apply, and a member of our team will review your application. To learn more about us, please visit LWCC.com.
Overview
The 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 workers.
This 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' compensation.
Major Areas of Accountability
  • AI Strategy & Roadmap
    • Support the CIO and executive leadership in executing the LWCC AI strategic roadmap, including OKRs (Objectives & Key Results metrics), phased implementation milestones, and measurable business outcomes.
    • Maintain a current, prioritized enterprise AI backlog aligned to corporate strategy, risk appetite, and departmental business cases.
    • Translate strategic direction into actionable plans for pilots, scaled deployments, and sunset decisions.
  • AI Governance, Risk, & Compliance
    • Partner with the Chief Information Officer on the LWCC AI governance framework, including model inventory, intake and approval workflows, acceptable use, and ongoing monitoring.
    • Apply 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 cases.
    • Monitor 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 controls.
    • Document bias, hallucination, data leakage, vendor lock-in, and model drift risks for each use case; recommend technical and procedural mitigations.
    • Support third-party risk reviews of AI vendors, including model provenance, data handling, security posture, and contractual protections.
  • Use Case Discovery & Delivery
    • Facilitate structured use case identification across business units; qualify opportunities using value, feasibility, risk, and data-readiness criteria.
    • Lead or co-lead delivery of approved AI pilots and production implementations, working with IT engineering, data, and business owners.
    • Design prompts, agents, retrieval patterns, and integration flows that meet LWCC's quality, security, and auditability standards.
    • Measure outcomes against defined success metrics; close the loop with sponsors, governance, and the board reporting cadence.
  • Platform & Tooling Enablement
    • Serve as LWCC's 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 platform.
    • Evaluate emerging AI tools and capabilities against LWCC requirements and recommend additions, replacements, or retirements.
  • Change Enablement, Training, & Culture
    • Partner with Human Resources to build role-based AI fluency across the organization.
    • Design 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 lines.
    • Champion a culture of curiosity, human oversight, and responsible experimentation - reinforcing that AI augments LWCC's people and does not replace the judgment required to serve policyholders.

Preferred Qualifications
  • Experience in insurance, financial services, healthcare, or another highly regulated industry; workers' compensation or property and casualty experience is a meaningful advantage.
  • Familiarity with the NAIC Model Bulletin on the Use of Artificial Intelligence Systems by Insurers and the Louisiana Department of Insurance regulatory environment.
  • Hands-on experience with Microsoft 365 Copilot, Salesforce, or Anthropic Claude / Claude Code.
  • Experience with retrieval-augmented generation (RAG), agentic workflows, evaluation frameworks, and model monitoring.
  • Exposure to NIST AI RMF, ISO/IEC 42001, COSO ERM, or NIST Cybersecurity Framework in practice.

Education and Experience
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Analytics, Engineering, Insurance, Business, or a related field; equivalent professional experience considered.
  • Minimum 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 setting.
  • Working 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 auditability.
  • Strong written and verbal communication skills, including the ability to brief executive and non-technical audiences with clarity and precision.

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