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Ai Risk Analyst Jobs in Alabama (NOW HIRING)

This position supports AI governance, risk assessment, technical feasibility analysis, and pilot execution to ensure AI solutions align with corporate security, compliance, and architectural ...

AI Solution Analyst

Huntsville, AL · On-site

$78K - $104K/yr

This position supports AI governance, risk assessment, technical feasibility analysis, and pilot execution to ensure AI solutions align with corporate security, compliance, and architectural ...

AI Software Engineer, PAE Fires

Huntsville, AL · On-site

$116K - $154K/yr

Experience performing AI risk assessments and developing mitigation strategies. * Hands-on skills ... Critical thinking, analytic, and problem-solving skills - comfortable working in dynamic settings ...

... risk analytics Familiarity with government data handling requirements (CUI, NIST 800-171 ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

... or risk analytics • Familiarity with government data handling requirements (CUI, NIST 800-171 ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

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Ai Risk Analyst information

See Alabama salary details

$13

$36

$59

How much do ai risk analyst jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for ai risk analyst in Alabama is $36.70, according to ZipRecruiter salary data. Most workers in this role earn between $27.02 and $44.66 per hour, depending on experience, location, and employer.

Is AI going to replace risk analysts?

AI risk analysts use data analysis and machine learning tools to identify and assess potential risks. While AI can automate routine tasks and enhance decision-making, risk analysts are needed to interpret complex data, apply judgment, and develop strategies, making complete replacement unlikely in the near term.

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 a high-level position in artificial intelligence, such as an AI Risk Analyst or senior AI specialist, often requiring advanced skills in machine learning, data analysis, and risk assessment. These roles may involve overseeing AI safety protocols, developing ethical guidelines, and managing complex AI systems, with compensation reflecting expertise and responsibility levels.

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 and programming skills to ensure AI deployment aligns with safety 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.

Which 3 jobs will survive AI?

For an AI Risk Analyst, jobs that require complex judgment, emotional intelligence, and creative problem-solving are more likely to survive AI automation. These include roles such as healthcare professionals, mental health counselors, and specialized technical experts. Continuous learning and skills in ethics, policy, and AI oversight will also be valuable in adapting to technological changes.

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 are popular job titles related to Ai Risk Analyst jobs in Alabama? For Ai Risk Analyst jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Ai Risk Analyst jobs? Cities in Alabama with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Alabama as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $76,327 per year, or $36.7 per hour.
AI Solution Analyst

AI Solution Analyst

Teledyne

Huntsville, AL

$78K - $104K/yr

Full-time

Posted 13 days ago


Teledyne Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

10th of 139 rated electronics manufacturers


Job description

Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

Job Description:

The AI Solution Analyst plays a critical role in evaluating, testing, and validating AIrelated software tools, copilots, agents, and automation platforms for enterprise use across Teledyne. This position supports AI governance, risk assessment, technical feasibility analysis, and pilot execution to ensure AI solutions align with corporate security, compliance, and architectural standards.

As part of Teledyne's AI Transformation efforts, you will join a team of AI Adoption Leads, each specializing in a specific area of AI. Together, you will act as internal consultants, helping business units understand AI's potential and implement solutions that deliver real impact. This is a role for someone who combines deep technical knowledge with strong interpersonal and selling skills-you'll need to build trust, inspire change, and make AI happen in the business, not just track metrics.

Essential Duties & Responsibilities:

AI Tool Evaluation & Testing

  • Conduct handson technical evaluations of AI software tools, copilots, AI agents, RAG systems, and emerging AI platforms.
  • Assess capabilities, limitations, performance, model behavior, integration feasibility, and operational requirements.
  • Develop structured test plans, evaluation frameworks, and comparison matrices for consistent assessment.
  • Document findings, risks, limitations, and recommendations for technical and executive audiences.

Architecture & Integration Support

  • Analyze how candidate tools integrate with existing enterprise environments (Microsoft 365, Azure, SharePoint, onprem systems).
  • Review API functionality, identity and access requirements, logging, data flows, and security architecture.
  • Collaborate with enterprise architecture and infrastructure teams to determine technical feasibility.

Governance, Risk, and Compliance

  • Support AI governance processes, including privacy, datahandling assessments, and policy compliance.
  • Assist with documentation for compliance reviews, risk registers, and AI policy adherence.

Pilot Coordination & Vendor Interaction

  • Coordinate proofofconcept (POC) activities with vendors and internal stakeholders.
  • Create POC documentation including scope, success criteria, user testing results, and ROI analysis.
  • Provide ongoing updates to IT leadership, the AI Champions, and business units.

CrossFunctional Collaboration

  • Work with the AI Governance Committee, Cybersecurity, IT, and business units to gather requirements and evaluate use cases.
  • Serve as a technical resource during intake, review, and approval processes for AI tool requests.
  • Support training materials, knowledge sharing, and documentation to help scale internal AI adoption safely.


Qualifications & Experience:

Technical Experience

  • 5-10+ years of experience in IT systems, software evaluation, enterprise applications, or technical analyst roles.
  • Solid understanding of enterprise technology fundamentals including:
    • Microsoft 365 and Azure ecosystem
    • Microsoft Copilot, Copilot Studio, Azure AI/ML services, or similar platforms.
    • Identity & Access Management (Azure AD/Entra)
    • API integrations and data flows
    • Cloud/SaaS security concepts
  • Experience conducting technical evaluations of software tools or platforms.

AI & Data Literacy

  • Working understanding of large language models (LLMs), embeddings, RAG pipelines, and AI agent concepts (training not required, but literacy is expected).
  • Familiarity with key AI risk themes: hallucinations, bias, safety guardrails, data leakage, and model evaluation.

Soft Skills

  • Strong analytical mindset and problemsolving capability.
  • Excellent written documentation skills for both technical and executive audiences.
  • Ability to manage multiple evaluations, pilots, and stakeholder groups simultaneously.
  • Comfortable presenting findings and recommendations to leadership.


Preferred Qualifications & Experience:

  • Experience with Python or PowerShell for limited proofofconcept test scripting.
  • Background in regulated industries, security reviews, or governance frameworks.
  • Project coordination or POC management experi

Salary Range:

$78,500.00-$104,600.000

Pay Transparency

The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, local regulations (such as minimum wage), education/training, work experience, key skills, and type of position.

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.


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