Computer Scientist

Job Details

Qualifications & Requirements

BASIC REQUIREMENTS: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and coursework must be from accredited or pre-accredited institutions. In addition to the basic requirements above, all applicants must meet the qualification requirements below: SPECIALIZED EXPERIENCE: To qualify for the Computer Scientist, PG-1550-13, applicants must have one year of specialized experience equivalent to the PG-12 level in the Federal service or equivalent experience in other pay systems that equipped the applicant with the knowledge, skills, and abilities to successfully perform the duties of this position. Examples of qualifying specialized experience include: 1). Designing, implementing, and securing Artificial Intelligence (AI)-enabled application environments, including integrating automated security testing into CI/CD pipelines; protecting AI training data and model artifacts; testing for AI-specific vulnerabilities and adversarial threats; securing AI infrastructure; and implementing continuous monitoring and auditing of AI models and workloads. 2). Designing, implementing, and maintaining enterprise cybersecurity and application security processes, including vulnerability management, security testing, risk mitigation, incident response, security controls, secure application development, and compliance with applicable Federal information security standards and frameworks. 3). Designing, implementing, and supporting DevSecOps and CI/CD processes using Azure DevOps or comparable technologies, including automated build, testing, security scanning, software composition analysis, deployment, infrastructure configuration, and operational processes that support secure, reliable, and maintainable enterprise applications. Additional qualification information can be found from the following Office of Personnel Management https://www.opm.gov/policy-data-oversight/cla: ssification-qualifications/general-schedule-qualification-standards/1500/computer-science-series-1550/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. All qualification requirements must be met by the closing date of this announcement 09/02/2026 to be considered.

Position Overview

GPO employees possess a diverse array of talent in many administrative fields and trades. We provide other agencies with innovative services for the printing, publishing, storage, and distribution of digital content. If you are an energetic, inventive individual looking for a challenging, yet rewarding career opportunity, GPO may be the place for you. This position is located in Government Integrated Print Services, Government Publishing Office in Washington, District of Columbia.

Duties

• Secure Artificial Intelligence (AI) Pipeline Integration: Embed automated security scans into CI/CD pipelines specifically tailored for AI training data, code, and model artifacts.
• AI Data Privacy and Governance: Enforce strict access controls, data sanitization, and encryption to prevent data poisoning and unauthorized access to training sets.
• AI Model Vulnerability Testing: Perform automated testing for adversarial machine learning attacks, prompt injection, and model inversion risks.
• AI Infrastructure Protection: Secure underlying compute resources, GPUs, and orchestration platforms hosting the AI workloads against exploitation.
• AI Monitoring and Auditing: Implement continuous logging and behavioral monitoring of deployed AI models to detect drift, evasion attempts, or unexpected outputs