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Ai Risk Analyst Jobs in Madison, MS (NOW HIRING)

MG+M The Law Firm

Claims Monitoring Counsel

Jackson, MS · On-site

$120K - $190K/yr

The Consulting Group provides risk management and claims monitoring services and strategic advice ... Ability to analyze complex matters. Why Should You Apply? This candidate will work closely with our ...

Amazon

Sr. HR Business Partner, NACF

Canton, MS · On-site

They support team development and process optimization while upholding high standards and risk ... Through data analytics and AI-enabled tools, you'll identify trends and opportunities while ...

Wilson Elser - Attorneys

Staff Attorney

Jackson, MS · Hybrid

Analyze trends across cases and contribute to the development of best practices and national ... Help identify opportunities to improve discovery processes, reduce risk, and drive greater ...

Amazon

HR Business Partner

Jackson, MS · On-site

... minimizing risk. Establish and implement mechanisms that ensure consistent, fair application of ... analytics and AI-enabled tools to identify trends, anticipate business needs, and develop solutions ...

Amazon

HR Business Partner, NACF

Canton, MS · On-site

... minimizing risk. Establish and implement mechanisms that ensure consistent, fair application of ... analytics and AI-enabled tools to identify trends, anticipate business needs, and develop solutions ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Madison, MS

Ai Risk Analyst information

See Madison, MS salary details

$12

$32

$53

How much do ai risk analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for ai risk analyst in Madison, MS is $32.94, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $40.10 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 cities near Madison, MS are hiring for Ai Risk Analyst jobs?

Cities near Madison, MS with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Madison, MS as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 88% In-person, 2% Hybrid, and 10% Remote job distribution, with an average salary of $68,513 per year, or $32.9 per hour.

Service Delivery Manager - Remote - USA

Jackson, MS • On-site, Remote

FullStack Labs
IT Services • 11 - 50 employees
Learn more about FullStack Labsexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We are looking for a hands-on, service-minded Delivery Manager to own the enterprise application support and BAU (business-as-usual) enhancement engagement for a global agricultural science client's R&D IT organization. This is not a build-from-zero software program. It is a live operations engagement spanning three connected workstreams: a consolidated Level 1 service desk that acts as the single point of contact for triage, basic troubleshooting, and service requests; domain-aligned Level 2 specialists across six application portfolios who take L1 escalations and drive complex resolution; and a stream of low-risk minor enhancements delivered by that same L2 team alongside the ticket queue. Our teams are folded into the client's existing support model and interface directly with their internal Level 3 engineering, product, and platform teams.
You are the escalation path above the Project Manager and the person accountable when a priority-one incident lands, when an SLA is at risk, when a staffing or billing issue arises, or when the client identifies a gap in our delivery. You own the client relationship from executive sponsor and procurement through to tactical application and business unit managers, you own engagement financials and SOW compliance, and you own the people: staffing decisions, coverage, performance, and retention across a team distributed between the United States and Colombia working US Eastern hours.
What We Are Looking For
  • 8+ Years in Delivery Leadership, Including Managed Services: Track record as a Delivery Manager, Engagement Manager, or Service Delivery Manager owning an application support, service desk, or managed services engagement, not solely project or product delivery.
  • Contractual SLA Ownership: Direct experience owning SLAs written into a client contract: negotiating targets, defending measurement definitions, reporting attainment, and handling the commercial consequences of a miss.
  • ITSM Operating Fluency: Working command of incident, problem, request, and change management in ServiceNow, Jira Service Management, or equivalent, including P1 through P4 triage, queue and backlog management, major incident process, RCA (root-cause-analysis) discipline, and knowledge management.
  • Dual-Mode Delivery Cadence: Comfortable running a ticket-driven operations queue and a sprint-based enhancement backlog at the same time, with the Agile and Jira fluency to keep both measurable and visible.
  • Distributed and Nearshore Team Leadership: Experience leading teams split across the United States and LATAM, or comparable distributed models, aligned to a client time zone, including shift coverage and cross-cultural people management.
  • Commercial and Financial Ownership: Comfortable owning engagement financials under a fixed-fee structure: capacity and utilization planning, forecast against actual, margin protection, and scope change discipline.
  • Transition and Takeover Experience: Has taken over support scope from an outgoing vendor or an internal team, ideally under a compressed knowledge transfer window with a hard cutover date.
  • Multi-Level Communication: Able to run a budget and progress review with a client sponsor and de-escalate a difficult conversation with a frustrated application owner on the same day, in fluent professional English. Spanish is an advantage for leading Colombia-based team members.
  • Scientific or R&D Application Exposure (Preferred): Familiarity supporting laboratory, genomics, data platform, or other scientific and regulated enterprise applications. Not required, but it shortens ramp time considerably.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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