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Artificial Intelligence Fraud Jobs in Boston, MA

AIOps Engineer Intern

Lexington, MA · On-site

$52.90K - $108K/yr

... artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to ...

Test Engineer

Lexington, MA

$86.90K - $198K/yr

... artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to ...

Program Manager

Lexington, MA · On-site

$99K - $225K/yr

... artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to ...

Test Engineer

Lexington, MA · On-site

$86.90K - $198K/yr

... artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to ...

Test Engineer

Lexington, MA

$86.90K - $198K/yr

... artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to ...

Test Engineer

Lexington, MA · On-site

$86.90K - $198K/yr

... artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to ...

Systems Engineer, Lead

Lexington, MA · On-site

$99K - $225K/yr

... artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to ...

Logistics Analyst, Mid

Lexington, MA · On-site

$52.90K - $108K/yr

... artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to ...

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Artificial Intelligence Fraud information

See Boston, MA salary details

$32K

$124.1K

$182K

How much do artificial intelligence fraud jobs pay per year?

As of May 28, 2026, the average yearly pay for artificial intelligence fraud in Boston, MA is $124,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Fraud Analyst, and why are they important?

To thrive as an Artificial Intelligence Fraud Analyst, you need strong analytical skills, experience in data science or machine learning, and a relevant degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python, fraud detection platforms, and certifications such as Certified Fraud Examiner (CFE) are typically beneficial. Exceptional problem-solving abilities, attention to detail, and strong communication help you interpret data patterns and collaborate with teams. These skills are essential for accurately detecting fraud, reducing financial losses, and maintaining organizational integrity in an evolving threat landscape.

How does an Artificial Intelligence Fraud Analyst typically collaborate with other departments to detect and prevent fraudulent activities?

Artificial Intelligence Fraud Analysts frequently work alongside teams from IT, cybersecurity, compliance, and customer service to identify suspicious patterns and respond to emerging threats. Collaboration is essential, as analysts must integrate AI-driven insights with on-the-ground knowledge from other departments to ensure comprehensive fraud detection. Regular cross-functional meetings and data sharing help refine detection models and promptly address new fraud tactics. This teamwork not only strengthens the organization’s defenses but also ensures that all stakeholders are aligned in fraud prevention strategies.

What is an Artificial Intelligence Fraud Analyst?

An Artificial Intelligence Fraud Analyst is a professional who uses AI-powered tools and techniques to detect, prevent, and investigate fraudulent activities within digital systems. They analyze large datasets to identify suspicious patterns, design machine learning models to predict and flag potential fraud, and work closely with cybersecurity and compliance teams. Their role is crucial in industries like finance, e-commerce, and banking, where fraud detection and prevention are essential for protecting both organizations and customers.

What is the difference between Artificial Intelligence Fraud vs Data Analyst?

AspectArtificial Intelligence FraudData Analyst
Required CredentialsKnowledge of AI, cybersecurity, and fraud detection certificationsDegree in statistics, mathematics, or related field; often certifications in data analysis
Work EnvironmentFinancial institutions, tech companies, cybersecurity firmsBusiness, finance, healthcare, or marketing sectors
Industry UsageDetecting AI-driven fraud activities, preventing cyber fraudAnalyzing data trends, generating reports, supporting decision-making

Artificial Intelligence Fraud specialists focus on identifying and preventing fraud involving AI systems, requiring cybersecurity and AI expertise. Data Analysts interpret data to inform business decisions, often working with large datasets across various industries. While both roles involve data and analytics, AI Fraud professionals specialize in fraud detection within AI environments, whereas Data Analysts focus on broader data analysis tasks.

What cities near Boston, MA are hiring for Artificial Intelligence Fraud jobs? Cities near Boston, MA with the most Artificial Intelligence Fraud job openings:
Infographic showing various Artificial Intelligence Fraud job openings in Boston, MA as of May 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $124,133 per year, or $59.7 per hour.
Healthcare Fraud Investigator

$85K - $105K/yr

Full-time

Posted yesterday


Job description

Healthcare Fraud Investigator
Employment Type: Full-Time, Mid-Level
Department: Litigation Support

CGS is seeking a Healthcare Fraud Investigator to provide Legal Support for a large Government Project in Nashville, TN. The candidate must take the initiative to ask questions to successfully complete tasks, perform detailed work consistently, accurately, and under pressure, and be enthusiastic about learning and applying knowledge to provide excellent litigation support to the client. 

CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.

Responsibilities will Include:
- Review, sort, and analyze data using computer software programs such as Microsoft Excel.
- Review financial records, complex legal and regulatory documents and summarize contents, and conduct research as needed. Preparing spreadsheets of financial transactions (e.g., check spreads, etc.).
- Develop HCF case referrals including, but not limited to:
- Ensure that HCF referrals meet agency and USAO standards for litigation.
- Analyze data for evidence of fraud, waste and abuse.
- Review and evaluate referrals to determine the need for additional information and evidence, and plan comprehensive approach to obtain this information and evidence.
- Advise the HCF attorney(s) regarding the merits and weaknesses of HCF referrals based upon applicable law, evidence of liability and damages, and potential defenses, and recommend for or against commencement of judicial proceedings.
- Assist the USAO develop new referrals by ensuring a good working relationship with client agencies and the public, and by assisting in HCF training for federal, state and local agencies, preparing informational literature, etc.
- Assist conducting witness interviews and preparing written summaries.

Qualifications:
- Four (4) year undergraduate degree or higher in criminal justice, finance, project management, or other related field.
- Minimum three (3) years of professional work experience in healthcare, fraud, or other related investigative field of work.
- Proficiency in Microsoft Office applications including Outlook, Word, Excel, PowerPoint, etc.
- Proficiency in analyzing data that would assist in providing specific case support to the Government in civil HCF matters (E.g., Medicare data, Medicaid data, outlier data).
- Communication skills: Ability to interact professionally and effectively with all levels of staff including AUSAs, support staff, client agencies, debtors, debtor attorneys and their staff, court personnel, business executives, witnesses, and the public. Communication requires tact and diplomacy.
- U.S. Citizenship and ability to obtain adjudication for the requisite background investigation.
- Experience and expertise in performing the requisite services in Section 3.
- Must be a US Citizen.
- Must be able to obtain a favorably adjudicated Public Trust Clearance.
Preferred qualifications:
- Relevant Healthcare Fraud experience including compliance, auditing duties, and other duties in Section 3.
- Relevant experience working with a federal or state legal or law enforcement entity.

#CJ
$85,000 - $105,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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