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Ai Risk Analyst Jobs in Florida (NOW HIRING)

Apply AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI Risk Management Framework, ISO ... improve analyst productivity and reduce mean time to detect/respond. * Build lightweight ...

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business ... The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ...

The AVP will lead a newly formed AI team consisting of a Director, Manager, and Analyst, and will ... Partner with Legal, Compliance, Privacy, Security, and Risk teams to ensure responsible AI ...

The AVP will lead a newly formed AI team consisting of a Director, Manager, and Analyst, and will ... Partner with Legal, Compliance, Privacy, Security, and Risk teams to ensure responsible AI ...

The AVP will lead a newly formed AI team consisting of a Director, Manager, and Analyst, and will ... Partner with Legal, Compliance, Privacy, Security, and Risk teams to ensure responsible AI ...

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

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Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

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Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

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Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

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Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

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Ai Risk Analyst information

See Florida salary details

$11

$30

$49

How much do ai risk analyst jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for ai risk analyst in Florida is $30.25, according to ZipRecruiter salary data. Most workers in this role earn between $22.26 and $36.83 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.
What job categories do people searching Ai Risk Analyst jobs in Florida look for? The top searched job categories for Ai Risk Analyst jobs in Florida are:
What cities in Florida are hiring for Ai Risk Analyst jobs? Cities in Florida with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Florida as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $62,929 per year, or $30.3 per hour.
Security Analyst

Security Analyst

Fortegra

Jacksonville, FL • On-site

Full-time

Posted 17 days ago


Job description

Responsible for safeguarding confidentiality, integrity, and availability of data, applications, infrastructure, and AI systems across the organization. The Security Analyst leads day-to-day operations of the company's security tooling across on-premises, cloud, and SaaS environments, drives the identification, investigation, and resolution of security events, and partners with engineering and operations teams to embed security throughout the software development and deployment lifecycle. The role also helps the organization securely adopt, deploy, and govern AI technologies
Primary Job Functions:
Security Operations & Incident Response
  • Monitor and tune in-place security solutions (SIEM, EDR/XDR, SOAR, email security, DLP, CSPM) for efficient and appropriate operation.
  • Lead investigations into security incidents escalated beyond Tier 1, including triage, forensic analysis, containment, eradication, and recovery.
  • Develop, maintain, and tune detections (e.g., SIEM rules, EDR custom detections) aligned to MITRE ATT&CK and the organization's threat models
  • Conduct and participate in tabletop exercises, purple-team engagements, and incident management drills at least annually.
  • Maintain runbooks and playbooks for common incident types, including cloud, identity, ransomware, and AI/LLM-related incidents.

Vulnerability & Threat Management
  • Lead vulnerability remediation across endpoints, servers, cloud workloads, containers, and SaaS applications, working with infrastructure and engineering teams to drive risk down.
  • Design and execute vulnerability assessments, penetration tests, red-team exercises, and security audits; manage findings through to closure.
  • Maintain hardened, up-to-date baselines (CIS Benchmarks or equivalent) for workstations, servers, cloud resources, containers, and network devices.
  • Consume and operationalize threat intelligence to anticipate and defend against new attacks and threat vectors.

Cloud & Infrastructure Security
  • Design, implement, and review security controls across cloud environments including IAM, network segmentation, encryption, logging, and posture management (CSPM/CNAPP).
  • Advance the organization's Zero Trust strategy across identity, device, network, application, and data layers.
  • Review Infrastructure-as-Code manifests for security misconfigurations; help maintain policy-as-code guardrails.
  • Partner with IT and identity teams on IAM, SSO, MFA, privileged access management, and conditional access policies.

Application & Software Supply Chain Security
  • Partner with the CISO and engineering leadership to enforce secure coding practices; deliver annual secure-development training, including OWASP Top 10 and OWASP LLM Top 10 content.
  • Integrate and tune security testing in CI/CD pipelines: SAST, DAST, SCA, secret scanning, container image scanning, and IaC scanning.
  • Establish and maintain software supply chain controls, including SBOM generation, dependency review, and alignment with frameworks such as SLSA.
  • Lead threat-modeling sessions for new products, services, and AI-enabled features.

AI Security & Governance
  • Help define and enforce policies for the safe adoption and use of AI tools within the organization, including LLM-based assistants, agentic systems, and Model Context Protocol (MCP) or similar tool integrations.
  • Assess and mitigate risks specific to AI/ML systems the organization builds or consumes, including prompt injection, jailbreaks, insecure output handling, training-data and model integrity, sensitive-data leakage, and model/identity supply-chain risks.
  • Apply AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI Risk Management Framework, ISO/IEC 42001 concepts) when evaluating AI vendors, internal AI products, and AI-generated code.
  • Review AI-generated code for security vulnerabilities and licensing issues before it reaches production.
  • Partner with Legal, Privacy, and Engineering on AI data handling, retention, and disclosure practices.

AI-Augmented Security Operations & Tooling
  • Evaluate and deploy AI-assisted security tooling (e.g., LLM-powered alert triage, log summarization, threat-intel enrichment, phishing analysis, AI-assisted code review) to improve analyst productivity and reduce mean time to detect/respond.
  • Build lightweight automations and scripts (Python, PowerShell, or similar), leveraging AI coding assistants where appropriate, to streamline detection, response, and reporting workflows.

Compliance, Risk & Audit
  • Prepare for and respond to internal and external IT audits and risk assessments (GDPR, DORA, PCI DSS, HIPAA, GDPR/CCPA, as applicable).
  • Maintain awareness of applicable laws and regulations related to security, data privacy, and AI (including emerging AI regulation).
  • Recommend new or enhanced security solutions and assist with their deployment, integration, and configuration in line with the organization's security standards.
  • Maintain up-to-date knowledge of the security industry, including new attack techniques, defensive tooling, and AI-related threats and defenses.

The duties and responsibilities above describe the general nature and level of work performed. They are not intended to be an exhaustive list of all duties and responsibilities that the incumbent may be expected or asked to perform.
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Information Security, or a related technical field, OR equivalent professional experience
  • 2+ years of experience in Information Security, Security Analyst, or closely related role
  • Working knowledge of common cybersecurity frameworks (NIST CSF, NIST 800-53, ISO 27001, CIS Controls, MITRE ATT&CK)
  • Hands-on experience securing at least one major cloud provider (AWS, Azure, or GCP), including identity, network, and workload controls.
  • Experience with vulnerability management, patching, and remediation across servers, endpoints, containers, and cloud workloads
  • Experience integrating security into CI/CD pipelines (SAST, DAST, SCA, secret scanning, IaC scanning)
  • Incident response experience, including triage, containment, eradication, recovery, and post-incident review

Licensure, Certification, and/or Registration:
  • One or more of the following preferred: Security+, CySA+, GIAC (e.g., GSEC, GCIH, GCFA, GCSA), OSCP, SC-900
  • AI/ML security credentials (e.g., AI Security/Governance certifications) a plus

Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or assume sponsorship of employment visas at this time. We welcome applicants of all backgrounds and national origins
Recruitment Updates:
Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender.
Fortegra is not accepting unsolicited resumes from search firms for this position.
#LI-Onsite
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.