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Ai Risk Analyst Jobs in Tennessee (NOW HIRING)

AWS Cloud Security Architect

Knoxville, TN · On-site

$62.50 - $83/hr

Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities * Provide security

AWS Cloud Security Architect

Knoxville, TN · On-site

$62.50 - $83/hr

Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities * Provide security

Showing results 21-40

Ai Risk Analyst information

See Tennessee salary details

$13

$36

$59

How much do ai risk analyst jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for ai risk analyst in Tennessee is $36.75, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $44.71 per hour, depending on experience, location, and employer.

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 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.

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.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

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 understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What job categories do people searching Ai Risk Analyst jobs in Tennessee look for?

The top searched job categories for Ai Risk Analyst jobs in Tennessee are:

What cities in Tennessee are hiring for Ai Risk Analyst jobs?

Cities in Tennessee with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Tennessee as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $76,430 per year, or $36.7 per hour.

AWS Cloud Security Architect

Knoxville, TN • On-site

System One
Business Consulting Services • 5 - 10K employees

$62.50 - $83/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

Job Title: AWS Cloud Security Architect
Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL
Work Model: Onsite – onsite

Responsibilities

  • Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications.
  • Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms.
  • Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance.
  • Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions.
  • Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified.
  • Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards.
  • Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls.
  • Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS.
  • Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities.
  • Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration.
  • Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders.

Requirements

  • 8+ years of overall IT experience, including significant cybersecurity and cloud security experience.
  • 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect.
  • 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations.
  • Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices.
  • Experience securing enterprise cloud and hybrid environments and performing security architecture reviews.
  • Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning.
  • Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS.
  • Experience defining and applying security standards, patterns, guardrails, and technical security controls.
  • Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight.
  • Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations.
  • Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders.
  • Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly.
  • Strong organizational, coordination, and stakeholder management skills.
  • CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred.
  • AWS Certified Security – Specialty, Azure AZ 500, or another relevant cloud security certification is preferred.

Desired Skillset:

  • Security experience across Azure and/or Google Cloud Platform in addition to AWS.
  • AI/GenAI security, AI governance, or AI risk management experience.
  • Container and workload security experience covering build time and runtime controls.
  • API security experience, including enterprise API gateways.
  • Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management.
  • Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation.
  • CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification.
  • AWS Certified Security – Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification.

Education: Bachelor's degree in Computer Science, Information Systems, or a related field.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US