Responsible AI Engineer

Duties
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• Translates responsible artificial intelligence expectations into specific technical requirements and implementation approaches that can be applied to AI-enabled systems operating in development, test, and production environments.
• Recommends or develops engineering patterns for safe integration of AI into operational environments, including guardrails for user interaction, logging, monitoring, workflow constraints, and controls on model-driven outputs.
• Assesses AI-enabled systems such as to determine whether the technical safeguards, evaluation evidence, and operational conditions are adequate for use.
• Communicates technical findings to leadership, governance stakeholders, and engineering teams in a form that supports approval decisions, remediation plans, sustainment reviews, and continued oversight of deployed AI capabilities.
• Works with developers, AI engineers, machine learning engineers, software engineers, cybersecurity personnel, and program stakeholders to ensure that needed evidence is created and retained as part of the system lifecycle.
• Serves as the senior technical advisor on responsible AI assurance, control implementation, evaluation methods, and AI-related risk treatment across DLA AIACoE efforts and supported organizations.
• Develops, updates, and maintains standards, playbooks, implementation guides, technical references, and training materials supporting responsible AI engineering, assurance, evaluation, documentation, and governance implementation across DLA.

Requirements
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Conditions of employment

• Must be a U.S. citizen
• Tour of Duty: Set Schedule
• Security Requirements: Non-Critical Sensitive with Secret Access
• Appointment is subject to the completion of a favorable suitability or fitness determination, where reciprocity cannot be applied; unfavorably adjudicated background checks will be grounds for removal.
• Fair Labor Standards Act (FLSA): Exempt
• Selective Service Requirement: Males born after 12-31-59 must be registered or exempt from Selective Service.
• Recruitment Incentives: Not Authorized
• Bargaining Unit Status: No
• Selectees are required to have a REAL ID or other acceptable identification documents to access certain federal facilities. See https://www.tsa.gov/real-id for more information.

Qualifications

To qualify for a Responsible AI Engineer, your resume and supporting documentation must support:A. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:

• Reviews system designs, workflows, service interactions, data dependencies, and integrated application behavior to identify where assurance controls are needed and how those controls should be implemented.
• Evaluates whether AI systems include sufficient controls to support accountability, reproducibility, and operational oversight.
• Establishes consistent evidence requirements for AI systems to support governance reviews, management decisions, audit readiness, sustainment reviews, and corrective action follow-through.
• Advises on technical tradeoffs involving control implementation, usability, monitoring, sustainment burden, deployment timing, operational constraints, model limitations, and governance readiness.

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.

Education

Substitution of education may not be used in lieu of specialized experience for this grade level.

Additional information

For Important General Applicant Information and Definitions go to: http://www.dla.mil/portals/104/documents/careers/GenAppInfoDef.pdf

Reemployed Annuitants: This position does not meet criteria for appointment of Reemployed Annuitants. The DoD criteria for hiring Reemployed Annuitants can be found at: https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/140025/140025_vol300.PDF

Drug-Free Workplace Policy

The Defense Logistics Agency (DLA) is committed to maintaining a safe, drug-free workplace. All DLA employees are required to refrain from illegal drug use on and off duty. DLA conducts pre-employment, reasonable suspicion, post-accident, and random drug testing.

Applicants tentatively selected for employment in testing designated positions will undergo a urinalysis to screen for illegal drug use prior to appointment. Refusal to undergo testing or testing positive for illegal drugs will result in withdrawal of the tentative job offer and a six-month denial of employment with DLA from the date of the drug test. Employees in drug testing designated positions are subject to random drug testing.

The DLA drug testing panel tests for the following substances: marijuana, cocaine, opiates, heroin, phencyclidine, amphetamines, methamphetamines, fentanyl, norfentanyl, methylenedioxymethamphetamine (MDMA), methylenedioxyamphetamine (MDA), and opioids.

ADVISORY: Use of cannabidiol (CBD) products may result in a positive drug test for marijuana. DLA employees are subject to Federal law and under Federal law, Marijuana is a Schedule I drug and is illegal.

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