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Ai Risk Manager Jobs in Melbourne, FL (NOW HIRING)

Acara Solutions

Sr Program Manager

Melbourne, FL

$116K - $157K/yr

... risk management, and continuous improvement efforts including implementation cost reduction and ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

SpaceX

IT Operations Engineer

Cape Canaveral, FL · On-site

$58K - $79K/yr

Create and maintain auto-updating project management tools, schedules, performance metrics, risk registers, dashboards, and automated reports using AI-assisted software that integrates with existing ...

New

ManTech

Software Engineer

Cape Canaveral, FL

... Risk Management, Digital Engineering. This position also performs system and subsystem design ... Artificial Intelligence, Machine Learning, AI/ML data pipelines, Data Analysis, performance ...

SpaceX

IT Operations Engineer

Cape Canaveral, FL · On-site

$58K - $79K/yr

Create and maintain auto-updating project management tools, schedules, performance metrics, risk registers, dashboards, and automated reports using AI-assisted software that integrates with existing ...

Orion180

Assistant Actuary

Melbourne, FL · On-site

Work closely with Enterprise Risk Management and Data Science on catastrophe modeling and ... including AI-based improvements to actuarial processes. Analyze external or internal claims and ...

SCCU

Software Architect

Melbourne, FL · Hybrid

... management, and monitoring), partnering with business teams tostreamline manual processes and ... • Create and drive an AI adoption strategy that empowers developers to work more ...

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Showing results 21-40

All JobsAi Risk JobsAi Risk Manager JobsAi Risk Manager Jobs in Melbourne, FL

Ai Risk Manager information

See Melbourne, FL salary details

$47.7K

$103.4K

$157.6K

How much do ai risk manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai risk manager in Melbourne, FL is $103,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $119,600.00 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 Melbourne, FL are hiring for Ai Risk Manager jobs? Cities near Melbourne, FL with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Melbourne, FL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $103,404 per year, or $49.7 per hour.

Senior Computer Scientist (AI/ML)

Kegman Inc

Melbourne, FL • On-site

Full-time

Re-posted 2 days ago

Job description

Kegman Inc. is a Women Owned/Service-Disabled Veteran-Owned Small Business headquartered in Melbourne, FL and provides engineering and technical support services to U.S. Government clients. We are seeking a Senior Computer Scientist (AI/ML) to join the team supporting the Air Force Technical Applications Center at Patrick Space Force Base in Melbourne, Florida.
NOTE: This is not a remote/telework job. This job requires the selected applicant to have an active U.S. Government-issued security clearance at time of hire and, therefore, requires U.S. citizenship.
Kegman is seeking a skilled the Senior Computer Scientist will lead the architecture, development, and testing of state-of-the-art Artificial Intelligence/Machine Learning (AI/ML) methodologies supporting the U.S. Government customer’s mission. Specifically, the contractor will direct efforts to design and deploy an advanced suite of deep learning algorithms for processing regional geophysical sensor data, including seismic, acoustic, hydro-acoustic, and infrasound sensors.
Responsibilities
  • Lead Advisory and Assistance services for the architectural design and development of generalized phase picker and generalized regional associator algorithms.
  • Architect, develop, configure, and evaluate advanced Python code for the detection of regional signal arrivals using deep neural network architectures and AIML Python libraries (PyTorch, Sklearn, Tensorflow/keras..etc)
  • Building automated training pipelines, monitoring for model drift, and implementing retraining strategies
  • Serve as the primary technical advisor to executive and senior clients, briefing them on strategic development efforts, emerging technologies, system architecture, risk mitigation, and mission opportunities.
  • Mentor and provide technical direction to junior and mid-level engineers in AI/ML best practices and geophysical data processing.
Basic Qualifications
  • Familiarity with Git version control software is required
  • Proficient in signal processing of advanced waveforms to include seismic, acoustic, electromagnetic, or similar signals.
  • Expert proficiency with the Python programming language, Anaconda environments, and Jupyter notebooks in a production environment.
  • Subject matter expertise in general acoustic theory, particularly regarding local to near-regional seismic phase arrivals, travel times, and association.
  • Mastery of deep neural network architectures for complex time-series data processing.
  • Extensive experience with traditional geophysical signal detection algorithms and the ability to integrate them with modern AI/ML approaches.
  • Demonstrated capability to architect solutions leveraging programming, advanced mathematics, data analysis, and data visualization toolkits to drive customer success.
  • Proven ability to design and execute advanced statistical analysis on massive, complex datasets.
  • Exceptional analytical, problem-solving, organizational, and written/oral communication skills.
  • Detail-oriented technical leader capable of directing teams, consistently meeting mission-critical deadlines, and driving projects independently with high autonomy.
  • Advanced interpersonal, customer engagement, and technical negotiation skills.
  • Demonstrated ability to manage multi-faceted projects and collaborate effectively with a diverse matrix of vendors, executive managers, subcontractors, consultants, and other professionals.
  • Highly effective communication skills with company executives, employees, and government stakeholders; must command a room and present complex technical concepts clearly and confidently to both technical and non-technical audiences.
  • Familiarity with agile/scrum techniques.
Education
  • Bachelor’s Degree  and 8+ years of relevant experience; OR
  • Master’s Degree and 6+ years of relevant experience; OR
  • Ph.D. and 3+ years of relevant experience.
Other:
  • U.S. citizenship required. 
  • Must have a fully adjudicated (not an interim) Government clearance.
  • Must pass a drug test.

Kegman Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

Kegman will abide by the requirements of 41 CFR 60741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities.

Please be aware many of our positions require an active security clearance. Security clearances are be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment that requires a security clearance will be subject to government security investigation(s) and must meet and maintain eligibility requirements for access to classified information.

By submitting your résumé for this position, you understand and agree that Kegman may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

Kegman maintains a drug-free workplace and performs pre-employment substance abuse testing where permitted by law.

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