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Ai Risk Manager Jobs in New Port Richey, FL (NOW HIRING)

Worth AI

Strategic Accounts Manager

Tampa, FL · Remote

... Manager who is passionate about helping enterprise-level customers achieve their goals using our ... leverage AI-driven solutions for underwriting, risk assessment, and financial decision-making

Worth AI

Strategic Accounts Manager

Tampa, FL · On-site

... Manager who is passionate about helping enterprise-level customers achieve their goals using our ... leverage AI-driven solutions for underwriting, risk assessment, and financial decision-making

Citigroup, Inc.

Finance Risk 1LOD Lead Analyst

Tampa, FL · On-site

$116K - $125K/yr

Risk Management Job Family: Finance Risk Job Family Group: Job Family: Time Type: Full time Primary ... Sept 02, 2026 Automated Processing and AI We use automated processing, including artificial ...

Booz Allen Hamilton

Collection Manager, Senior

Tampa, FL

$99K - $225K/yr

Collection Manager, Senior The Opportunity: With all the information available today, it takes a ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Deloitte

Origami Risk Delivery Manager

Tampa, FL

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Work you'll do As a Manager focused on Origami Risk Delivery on the Insurance Solutions team, you ...

Deloitte

Anaplan Senior Manager

Tampa, FL · On-site

Managing project activities, deliverables, timelines, and stakeholder expectations across ... By leveraging next-generation processes, scalable data platforms, and AI, our team delivers ...

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All JobsAi Risk JobsAi Risk Manager JobsAi Risk Manager Jobs in New Port Richey, FL

Ai Risk Manager information

See New Port Richey, FL salary details

$45.9K

$99.4K

$151.4K

How much do ai risk manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai risk manager in New Port Richey, FL is $99,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $114,900.00 per year, depending on experience, location, and employer.

How much do AI risk managers make?

AI risk managers typically earn between $100,000 and $180,000 annually, depending on experience, education, and location. Senior roles or those in high-demand industries can offer higher salaries, often supplemented with bonuses and benefits. Strong knowledge of AI systems, risk assessment, and compliance are key skills for this role.

What does an AI risk manager do?

An AI risk manager assesses and mitigates potential risks associated with artificial intelligence systems, including ethical, safety, and compliance concerns. They develop strategies to ensure AI models operate reliably and responsibly, often working with data scientists and engineers to implement risk management frameworks and monitor AI performance. Strong analytical skills and knowledge of AI ethics, regulations, and tools are essential for this role.

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

Is AI going to replace AI Risk Manager jobs?

AI Risk Managers analyze and mitigate risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and compliance. While AI tools can assist in risk assessment, the job involves strategic decision-making and oversight that are unlikely to be fully automated in the near future.
What cities near New Port Richey, FL are hiring for Ai Risk Manager jobs? Cities near New Port Richey, FL with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in New Port Richey, FL as of June 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $99,362 per year, or $47.8 per hour.

Senior AI Project Manager (Remote Opportunity)

VetsEZ

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

VetsEZ is seeking a Senior AI Project Manager to lead the successful delivery of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a production-ready AI-assisted search and summarization capability that enhances clinician access to Community Health Summary and Document (CHSD) data.
Working closely with Government stakeholders, clinical subject matter experts, solution architects, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will lead all aspects of project planning, execution, stakeholder engagement, risk management, and Agile delivery while ensuring alignment with Federal security, privacy, and AI governance requirements.
Responsibilities:
  • Lead planning, execution, and delivery of enterprise AI software development projects supporting VA healthcare initiatives.
  • Develop and manage integrated project schedules, milestones, deliverables, resource plans, and roadmaps, including clinical validation, governance, security, and approval dependencies.
  • Manage project scope, risks, issues, assumptions, dependencies, and change requests, including decisions requiring Government approval.
  • Ensure project execution aligns with contractual requirements, business priorities, and delivery objectives.
  • Provide leadership that promotes collaboration, accountability, and continuous improvement across multidisciplinary teams.
  • Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs).
  • Coordinate activities between Government stakeholders, clinicians, architects, engineers, cybersecurity teams, privacy and AI governance stakeholders, and product owners.
  • Facilitate discovery sessions, requirements validation, solution demonstrations, and clinical feedback sessions.
  • Coordinate AI governance, Responsible AI, Human-in-the-Loop (HITL), security, privacy, and clinical validation activities.
  • Ensure AI capabilities align with clinical workflows, business objectives, and approved MVP scope, with measurable acceptance criteria for quality, source traceability, clinical relevance, latency, and clinician feedback.
  • Provide delivery oversight across Agile teams, ensuring sprint plans, dependencies, milestones, and release objectives align with the project roadmap.
  • Partner with Product Owners and Scrum Masters to support Agile planning, refinement, reviews, and retrospectives.
  • Monitor sprint progress, delivery metrics, and release readiness.
  • Coordinate resolution of cross-team impediments requiring Government, security, governance, clinical, or architectural decisions.
  • Coordinate test-environment readiness, clinical evaluation, and future transition planning with Government stakeholders.
  • Monitor project risks, technical dependencies, and schedule impacts while developing mitigation strategies.
  • Coordinate activities supporting Federal cybersecurity, privacy, AI governance, clinical validation, and Authority to Operate (ATO) planning.
  • Ensure compliance with applicable VA Software Development Lifecycle (SDLC), security, and operational requirements.
  • Support project reporting, audit readiness, governance readiness, and executive decision-making through accurate documentation and status reporting.
  • Prepare executive briefings, project status reports, dashboards, and milestone updates.
  • Present project progress, risks, dependencies, and recommendations to executive leadership and Government customers.
  • Communicate complex technical concepts effectively to both technical and non-technical audiences.
  • Foster strong customer relationships through proactive communication and collaboration.

Requirements:
  • Bachelor's degree in Computer Science, Information Technology, Business, Healthcare Informatics, or a related field, or equivalent experience.
  • 10+ years leading enterprise software development projects.
  • 5+ years managing Agile software development teams delivering cloud-based applications.
  • Demonstrated experience leading Artificial Intelligence, Machine Learning, or Generative AI capabilities through development, evaluation, and formal approval.
  • Experience delivering AWS cloud applications using Amazon Bedrock or similar AI platforms.
  • Experience leading cross-functional teams in regulated healthcare or Federal environments.
  • Agile Software Development (Scrum/Kanban)
  • Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) delivery lifecycles
  • Amazon Bedrock and AWS AI services
  • Prompt engineering, source grounding, hallucination testing, human validation, and AI evaluation methodologies
  • Cloud architecture and DevSecOps practices
  • REST APIs and enterprise system integration
  • Healthcare interoperability standards (FHIR, HL7, CCD)
  • Risk management and software delivery lifecycle

Additional Qualifications:
  • Strong leadership, organizational, and project management skills.
  • Excellent communication and presentation skills with experience briefing executive leadership and Government stakeholders.
  • Experience coordinating multidisciplinary engineering, cybersecurity, infrastructure, and clinical teams.
  • Strong analytical, problem-solving, and decision-making abilities.
  • Ability to manage multiple priorities in a fast-paced Agile environment.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Project Management Professional (PMP), PMI-ACP, Certified Scrum Master (CSM), or SAFe certification.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience delivering AI-enabled clinical workflow, search, summarization, or clinician-support capabilities requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Cloud, AI, or Machine Learning certifications are highly desirable.

Benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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