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$65K

$127.3K

$177.5K

How much do sci with polygraph required jobs pay per year?

As of Aug 22, 2026, the average yearly pay for sci with polygraph required in the United States is $127,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Sci With Polygraph Required vs Forensic Scientist?

CriteriaSci With Polygraph RequiredForensic Scientist
Required CredentialsScience degree, polygraph certificationScience degree, forensic certification
Work EnvironmentField investigations, polygraph testingCrime labs, courtrooms, crime scene analysis
Employer & Industry UsageLaw enforcement agencies, security firmsLaw enforcement, forensic labs, government agencies
Common Search & ComparisonYesNo

The main difference between Sci With Polygraph Required and Forensic Scientist lies in the work focus and certifications. Sci With Polygraph Required professionals often perform polygraph tests and work in investigative settings, while Forensic Scientists analyze physical evidence in labs. Both roles require a science background, but the specific certifications and job environments differ.

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Sci With Polygraph Required jobs near you
Infographic showing various Sci With Polygraph Required job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $127,304 per year, or $61.2 per hour.

Senior AI Engineer with TS/SCI + Polygraph

Aperio Global

Fort George G Meade, MD

$115K - $159K/yr

Full-time

Re-posted 2 days ago

Job description

Security Clearance: Active TS/SCI with Polygraph required. Only those who hold this clearance can be considered for this role. 

Aperio Global is seeking a Senior AI Engineer to support the Technology Trending Solutions mission, leading the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment. The ideal candidate has deep experience implementing analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA), and can ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy.

As the Senior AI Engineer, you will integrate advanced AI capabilities through APIs such as OpenAI and AWS Bedrock, and build intuitive front-end experiences using technologies like EX, AWS Amplify, and React. The role requires hands-on expertise with analytic development environments and cloud-native platforms (e.g., GMLearn, Container Yard, AWS SageMaker, AWS EKS), as well as strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence. Must be highly proficient with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo (or similar), and demonstrate a proven track record of driving AI solutions from concept through governed production deployment in sensitive, mission-focused environments.
Job Responsibilities/Qualifications:
Mission Focus: Collaborate closely with customers to build AI workflows and develop analytics based off artifacts to use AI to flag data of interest and summarize.
Technical Proficiency: Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery.
Qualifications: Bachelor's degree plus 8-years of relevant experience or equivalent. Proficiency with object-oriented languages (Python and Java) and experience with PySpark, Jupyter Notebooks, Kubernetes, docker, Elasticsearch, GHOSTMACHINE, and Query Time Analytics.
Security Clearance: Active TS/SCI with Polygraph required.

Salary Range (dependent on level of experience) 180k-200k

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