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Ai Risk Analyst Jobs in Kentucky (NOW HIRING)

ADM

AI Security Architect - Erlanger, KY

Erlanger, KY · On-site

$64 - $82.75/hr

Apply AI risk management standards to assess and mitigate risks in AI pipelines. * Mentor architects, engineers, and analysts in AI security best practices and contribute to the advancement of AI ...

ADM

AI Security Architect - Erlanger, KY

Erlanger, KY · On-site

$92K - $172K/yr

Apply AI risk management standards to assess and mitigate risks in AI pipelines.Mentor architects, engineers, and analysts in AI security best practices and contribute to the advancement of AI ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Lexington, KY · Remote

$90 - $130/hr

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Subsplash

Sr. GRC Analyst

Louisville, KY

$95K - $105K/yr

You treat AI as a force multiplier for GRC work--using it to compress audit prep cycles, automate evidence gathering, and free up capacity for higher-value risk analysis. * Collaborative: You work ...

Deloitte

Finance Analytics & AI Manager

Louisville, KY · On-site

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

Deloitte

Finance Analytics & AI Manager

Louisville, KY · On-site

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

Intermountain Health

HCC Coding Analyst 1

Frankfort, KY · On-site

$28.06 - $44.20/hr

This Position is an entry-level role in Risk Adjustment and will learn to demonstrate general ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai risk analyst in Kentucky is $35.16, according to ZipRecruiter salary data. Most workers in this role earn between $25.87 and $42.79 per hour, depending on experience, location, and employer.

How does an AI risk analyst 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 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 skills and qualifications are needed to be an AI risk analyst?

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 is an AI risk analyst?

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 are popular job titles related to Ai Risk Analyst jobs in Kentucky? For Ai Risk Analyst jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Kentucky look for? The top searched job categories for Ai Risk Analyst jobs in Kentucky are:
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Ai Risk Analyst jobs near you

AI Security Architect - Erlanger, KY

ADM

Erlanger, KY • On-site

$64 - $82.75/hr

Full-time

Medical, Dental, Life, Retirement

Re-posted 3 hours ago

ADM rating

7.9

Company rating: 7.9 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

78th of 359 rated logistics

Job description

AI Security ArchitectPosition SummaryADM's Global Information & Cyber Security (GICS), Security Architecture & Engineering team is seeking an AI Security Architect with an Engineering/Analyst background. This role safeguards enterprise AI systems by applying Industry guidance on AI risk standards and principles.   The position ensures secure, resilient, and compliant AI adoption across cloud and enterprise environments, focusing on confidentiality, integrity, availability, safety, and ethical use of AI/ML systems. The role proactively identifies and mitigates risks from adversarial machine learning, data poisoning, model leakage, and unauthorized access, while collaborating cross-functionally to build secure and trustworthy AI systems.
This role serves as a trusted advisor for both internally developed AI capabilities and third-party AI platforms, ensuring secure, compliant, and responsible adoption of AI technologies across the enterprise. The architect partners with Data & AI Governance, Legal, Privacy, Procurement, and Enterprise Architecture teams to evaluate AI solutions, mitigate emerging risks, and establish security standards aligned with business objectives and regulatory requirements.
 Key Responsibilities
  • Consult, Recommend and Implement practices aligned with joint internal and external guidance, including understanding AI risks, securing the AI lifecycle, ensuring resilience, and establishing accountability.
  • Contribute to the development and maintenance of ADM's AI security architecture and roadmap, ensuring alignment with business priorities, Data & AI governance requirements, responsible AI principles, and evolving regulatory obligations.
  • Partner with Data & AI governance stakeholders to establish and maintain security standards for model integrity, data lineage, access control, auditability, transparency, and AI risk management throughout the AI lifecycle.
  • Establish AI security testing requirements across development and deployment lifecycles, including validation of model integrity, access controls, prompt injection resilience, and adversarial attack resistance.
  • Executive Communication & Risk Advisory: Translate AI security risks into business impact and provide recommendations to technical, operational, and leadership stakeholders. Develop security assessments, architecture recommendations, and governance reporting to support risk-based decision making.
  • Threat Modeling & Adversarial Testing: Conduct threat modeling for AI/ML models and pipelines, lead adversarial testing, red teaming, and stress testing on AI models.
  • Participate in the evaluation and security review of AI platforms, models, tools, and services. Assess AI-specific risks including data handling, model provenance, supply chain integrity, API security, third-party model exposure, and regulatory compliance. Collaborate with Legal, Privacy, Procurement, and Vendor Risk Management teams to define security requirements and controls for AI vendors and service providers.
  • Review current internal capabilities, process, tooling and provide strategic and tactical recommendations to meet requirements to Secure,  Defend, Thwart for Ai capabilities.
  • Develop secure AI design patterns, reference architectures, and implementation guidance. Partner with AI engineering, MLOps, and cloud platform teams to integrate security controls into model development, deployment pipelines, model registries, data platforms, and operational workflows.
  • Threat Detection & Response: Monitor AI systems for adversarial ML attacks, prompt injection, model misuse, unauthorized access, and emerging AI threats. Partner with Security Operations and Incident Response teams to develop and maintain response procedures and playbooks for AI-related security events.
  • Provide security architecture guidance for both internally developed AI solutions and externally acquired AI products and services, ensuring consistent security controls, governance, and risk management practices across the AI technology ecosystem.
  • Documentation & Best Practices: Develop and maintain documentation for AI security best practices.
  • Cross-team Collaboration: Partner with AI engineers, architects, compliance officers, Technologists, and stakeholders to embed controls and guide secure AI development.
  • Continuous Improvement: Stay up to date with advancements in AI and automation technologies to continuously improve security engineering.
  • AI Risk Management: Apply AI risk management standards to assess and mitigate risks in AI pipelines.
  • Mentor architects, engineers, and analysts in AI security best practices and contribute to the advancement of AI security capabilities, governance practices, and responsible AI initiatives across the organization
  • Support Enterprise Architecture governance process administration.
  • Support EA Technical Design Services.
  • Support EA Technical Design Review Services, include reporting on reviews.
  • Maintain knowledge of industry trends and utilize this knowledge to educate both IT and the business on opportunities to build better target architectures that support and drive business decisions.
 Required Skills & Experience
  • Strong knowledge of CISA Secure AI principles and ISO/IEC 23894.
  • Hands-on experience with Microsoft Purview, Defender for Cloud, Entra ID, and Sentinel.
  • Understanding of AI/ML fundamentals (model training, inference, adversarial ML, secure data pipelines).
  • Understanding of Generative AI and AI-agent security risks, including prompt injection, model inversion, model extraction, retrieval augmented generation (RAG) poisoning, model supply chain risks, agentic AI risks, and AI misuse scenario
  • Experience with ML platforms (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (MLflow, Kubeflow, Azure Machine Learning, Databricks, or equivalent enterprise AI platforms).
  • Familiarity with adversarial ML concepts and tools (Pyrit, IBM Adversarial Robustness Toolbox, CleverHans).
  • Proficiency in scripting or programming languages (Python, Bash, .Net).
  • Knowledge of security methodologies and frameworks including STRIDE, MITRE ATLAS, MITRE ATT&CK, OWASP Machine Learning Top 10, vulnerability management platforms, threat modeling methodologies, and SIEM technologies.
  • Expertise in securing workloads in Azure; AWS/GCP experience is a plus.
  • Ability to assess and mitigate AI-specific risks (bias, poisoning, data leakage).
  • Familiarity with regulatory frameworks (GDPR, HIPAA, FedRAMP, CCPA).
  • Strong analytical, communication, and documentation skills.
  • Ability to explain complex AI security concepts to technical and non-technical audiences.
  • Collaborative mindset with experience working across multidisciplinary teams.
Preferred Requirements
  • 7+ years' experience in IT
  • 5+ years in cybersecurity, with at least 2 years focused on AI/ML or cloud security and 2 within the role of an Architect.
  • Certifications: Azure Solutions Architect, GIAC Machine Learning Security Essentials (GMLE), CISSP, CCSP, or equivalent AI/ML security credentials, CAISP.
  • Project management experience.
  • Experience with lifecycle and licensing within cloud environments.
  • Current holder of security certifications.
  • ISO/IEC 23894
  • Practical Experience leveraging CISA Secure AI Principles, and/or NIST IR 8596 guidance and Cybersecurity Framework 2.0
Leadership Traits
  • Ownership mindset.
  • Commitment to helping others thrive.
  • Continuous learning.
  • Fostering diversity, equity, and inclusion.
Additional InformationThis position offers a complete benefit package, including 401K/ESOP, pension, health, life, and dental insurance. ADM is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and veteran status.
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