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Ai Monitoring Jobs in Florida (NOW HIRING)

The Contact Center Quality Specialist is responsible for training, validating, and overseeing AI-driven quality monitoring tools used to evaluate call center interactions and eligibility cases within ...

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Senior Controls Engineer

Miramar, FL · On-site

$90K - $125K/yr

Apply AI-enabled monitoring and analytics to industrial automation processes * Conduct FAT/SAT testing and on-site commissioning to verify safety and performance compliance * Diagnose and resolve ...

Cloud AI Ops / AI Monitoring; and, Cloud Discovery. Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

Cloud AI Ops / AI Monitoring; and, Cloud Discovery. Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

AI Manager

Tampa, FL · On-site

Monitor AI workflows to ensure they remain functional, effective, and aligned with evolving business needs. * Troubleshoot issues, resolve implementation challenges, and proactively improve existing ...

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Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

Infographic showing various Ai Monitoring job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Manager - Compliance, AI & Data Strategy

Worldpay, Inc.

Jacksonville, FL

Full-time

Posted 13 days ago


Job description

Job Description

At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you're ready to grow your career and make an impact in fintech, we have one question: Are you FIS?

About the role:

We're seeking a Senior Manager to own, design, and operationalize the Compliance AI technology and data strategy across the 2nd line FIS Corporate Compliance function. In this role, you will serve as the primary technical liaison to cross-functional FIS AI teams, setting the standards for AI tools and data use within Compliance. You will work with the compliance team to document foundational processes to support AI agents, agentic workflows and other technical solutions that enhance monitoring, operational processes, and reporting capabilities. You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance functions to report on program health and KPIs to Compliance leadership and other key stakeholders, participate in regulatory compliance technology and data strategy, and regularly interact with executives.

About the team:

The team you will be joining plays a critical role in advancing the Compliance function's AI and data capabilities across the FIS enterprise. We are responsible for developing and governing the AI tools, data infrastructure, and testing frameworks that underpin our compliance programs. To be successful, we need your experience navigating a complex, highly regulated financial services environment and your ability to drive cutting-edge AI solutions that enable compliance scalability, accuracy, and resilience. You will be a hands-on leader who produces deliverables day to day while shaping long-term strategy.

What you will be doing:

  • Own the end-to-end Compliance AI technology and data strategy, including roadmap development, architecture decisions, and alignment with enterprise AI governance and global regulatory expectations
  • Lead engagement with the FIS cross-functional AI teams, serving as the Compliance function's primary point of contact for enterprise AI data & technology initiatives
  • Set and enforce standards for AI tools, large language models, and data use within the Compliance department, including responsible AI guardrails
  • Design, develop, and deploy AI agents and technical solutions (including agentic workflows, LLM/SLM integrations, and automation pipelines) to enhance compliance monitoring, operations, and reporting
  • Build the foundations of the compliance AI monitoring framework, including model performance tracking, drift detection, explainability requirements, and ongoing validation protocols
  • Run the compliance data and systems Testing & Monitoring function, including design and execution of test plans, test script automation, data integrity assessments, issue identification, remediation tracking, and reporting to Compliance leadership
  • Develop relevant dashboards, KPIs, and data-driven insights that translate compliance risk into quantitative metrics, enabling leadership to assess program maturity, coverage gaps, and risk appetite alignment

What you will need:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics/Statistics, Engineering, or a related discipline
  • Preferred: Master's degree, J.D., or the equivalent combination of education, training, or work experience
  • 10+ years of experience in financial services compliance, regulatory technology, or risk management, with demonstrated familiarity with BSA/AML, data privacy, financial crimes regulations, and regulatory examination processes
  • 8+ years of experience in data management, analytics, data governance, data architecture, AI/ML model development, or AI governance within a regulated environment
  • 5+ years of experience leading teams, managing cross-functional technology programs, and building positive business partner relationships with senior stakeholders
  • Strong hands-on experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) required; experience with LLM orchestration tools and prompt engineering strongly preferred
  • Demonstrated experience building agentic/AI workflows leveraging LLMs and SLMs, including retrieval-augmented generation, automated compliance testing, and intelligent document processing
  • Proficiency with compliance monitoring systems, data platforms, and dashboarding tools such as Databricks, Snowflake, Tableau, PowerBI, and related database and cloud technologies preferred; familiarity with model risk management frameworks a plus
  • Excellent verbal and written communication skills with the ability to translate complex technical AI concepts into actionable guidance for both business and technical audiences
  • Proven ability to influence critical Compliance and technology outcomes in a complex, matrixed organization that requires cross-collaboration with Business, Risk, Product, Legal, Privacy, and Information Security teams

What we offer you:

At FIS, you can grow your career as far as you want to take it. Here's what else we offer:

Opportunities to make an impact in fintech

Personal and professional learning

Inclusive, diverse work environment

Resources to give back to your community

Competitive salary and benefits

An inclusive workspace built on collaboration, flexibility and respect.

A salary and benefits package that reflects your hard work.


FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $119,560.00 - $200,840.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here


For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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