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Ai Risk Jobs in Largo, FL (NOW HIRING)

Lead Security of AI engagements - AI risk assessments, threat modeling for LLM-integrated applications, agentic system security reviews, red team exercises, and governance program design * Shape and ...

Lead Security of AI engagements - AI risk assessments, threat modeling for LLM-integrated applications, agentic system security reviews, red team exercises, and governance program design * Shape and ...

Risk Manager

Largo, FL ยท Remote

Join McKesson's Global Risk Management Team as a Risk Manager supporting Florida Cancer Specialists ... leveraging AI-enabled productivity tools. * Experience supporting insurance programs, policy ...

Risk Manager

Largo, FL ยท Remote

Join McKesson's Global Risk Management Team as a Risk Manager supporting Florida Cancer Specialists ... leveraging AI-enabled productivity tools. * Experience supporting insurance programs, policy ...

Risk Manager

Largo, FL ยท On-site

Join McKesson's Global Risk Management Team as a Risk Manager supporting Florida Cancer Specialists ... leveraging AI-enabled productivity tools. * Experience supporting insurance programs, policy ...

Role Overview The Risk Analyst operates under the direct supervision of department leadership and ... Willingness to adopt and responsibly use AI-enabled tools to enhance analysis, efficiency, and ...

Senior Agentic (AI) Engineer

Tampa, FL ยท On-site +1

$98K - $135K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You'll own agents end-to ...

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Ai Risk information

See Largo, FL salary details

$12

$25

$63

How much do ai risk jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for ai risk in Largo, FL is $25.93, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $33.08 per hour, depending on experience, location, and employer.

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What cities near Largo, FL are hiring for Ai Risk jobs? Cities near Largo, FL with the most Ai Risk job openings:
Infographic showing various Ai Risk job openings in Largo, FL as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $53,940 per year, or $25.9 per hour.

Technology Risk Advisory - AI Risk Senior Associate

RSM

Tampa, FL โ€ข On-site

Full-time

Posted 24 days ago


Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. Youโ€™ll find an environment that inspires and empowers you to thrive both personally and professionally. Thereโ€™s no one like you and thatโ€™s why thereโ€™s nowhere like RSM.

Role Overview

The Technology Risk Advisory - AI Risk Senior Associate will play a key role in helping clients strengthen their technology, AI, and cybersecurity risk capabilities. Youโ€™ll support the design, assessment, and governance of AI and GenAI systems, evaluate cloud and data controls, and contribute to emerging risk frameworks that keep pace with rapid innovation.

This role blends handsโ€‘on technical exposure with structured risk thinkingโ€”ideal for someone who can navigate both model development concepts and regulatory expectations.

Key Responsibilities

  • AI/ML Risk Assessments โ€” Support and execute risk and compliance assessments for AI/ML and GenAI systems, including model lifecycle controls, data governance, and responsible AI considerations.
  • Technology & Cloud Compliance โ€” Evaluate IT, cloud, and data environment controls (IAM, encryption, logging, monitoring, network segmentation).
  • Model Governance Support โ€” Contribute to model documentation, testing artifacts, lineage tracking, and change management for AI systems.
  • Emerging Technology Risk โ€” Support assessments related to GenAI, automation, cloud-native architectures, and digital transformation initiatives.
  • Software & Data Engineering Fundamentals โ€” Apply understanding of APIs, data pipelines, testing, and version control to evaluate technical risk.
  • Crossโ€‘Functional Collaboration โ€” Work with engineering, data science, cybersecurity, model risk, and audit teams across the 1st and 2nd lines of defense.
  • Client Delivery โ€” Support workplans, manage assigned tasks, gather requirements, and contribute to highโ€‘quality client deliverables.
  • Risk Translation โ€” Translate technical design elements (data flows, model behavior, system architecture) into clear risk considerations.
  • Communication & Reporting โ€” Prepare documentation, assessment outputs, and stakeholderโ€‘ready reporting that simplifies complex AI and technology concepts.

Required Experience & Qualifications

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, Data Science, Information Systems, Risk, or related field.
  • 2โ€“5 years supporting delivery of technology solutions, with exposure to AI/ML or GenAI and experience in risk, compliance, audit, or regulated environments.
  • Working knowledge of modern ML/GenAI stacks (Python, model development frameworks, embeddings, RAG concepts).
  • Handsโ€‘on contribution to model development, evaluation, or implementation.
  • Experience assessing or implementing AI systems on cloud platforms (IAM, encryption, data governance, environment controls).
  • Solid understanding of software engineering fundamentals: APIs, data pipelines, testing, version control, CI/CD exposure.
  • Ability to translate technical design into risk and control implications with guidance.
  • Experience supporting AI governance and model risk documentation.
  • Strong analytical and problemโ€‘solving skills with the ability to structure ambiguous problems.
  • Consulting fundamentals: requirement gathering, task management, coordination across teams.
  • Effective communicator able to translate technical concepts into clear business and risk language.

Preferred Qualifications

  • Certifications such as AAIA, AAISM, AIGP, CISA, CISSP, CCSP, CRISC, or AIโ€‘focused credentials.
  • Experience with AI risk frameworks, responsible AI principles, or cloud compliance programs.

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance lifeโ€™s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employeeโ€™s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $77,700 - $146,900

Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.