hirly

Federal Student Aid

Information Technology Specialist (APPSW), AI Software Engineer, GS-2210-15, FPL 15 (DH) (TERM)

San Francisco, California, United States · Denver, Colorado, United States · Washington, District of Columbia, United States · Atlanta, Georgia, United States · Chicago, Illinois, United States · Boston, Massachusetts, United States · Kansas City, Missouri, United States · New York, New York, United States · Philadelphia, Pennsylvania, United States · Dallas, Texas, United States · Seattle, Washington, United States

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hirly's read of this role

Role family
Engineering
Seniority
Mid level
Stated salary
$147,945 – $197,200 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
21 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Summary

This position is located in the U.S. Department of Education (ED), Federal Student Aid (FSA), Technology Directorate (TD). The Technology Directorate provides information technology services for all FSA systems, promoting the effective and secure use of technology to achieve FSA's strategic objectives through sound planning, investments, integrated technology architectures and standards, effective systems development, production support, and cybersecurity services.

Duties

This is a term position with a Not to exceed 2 years which can be extended up to ten years with a possibility of being converted to permanent. APPLICATION LIMIT: This vacancy announcement is limited to the first 200 applications received and will close at 11:59PM Eastern Time on the day that we receive the 200th application, or at 11:59PM Eastern Time on the listed closing date, whichever occurs first. We encourage you to read this entire vacancy announcement prior to submitting your application. As an Information Technology Specialist (APPSW), AI Software Engineer, GS-2210-15, you will be responsible for: Providing senior technical consulting, architectural leadership, and expert direction across the full AI development lifecycle. Implementing and operating enterprise AIOps pipelines (automated testing, deployment, monitoring), and maintain tools for data lineage, version control, CI/CD, and model validation to ensure repeatable production delivery. Leading software development and integration efforts; coordinating internal and contractor teams; translate functional/user requirements into secure technical design specifications and system architectures. Providing expert technical guidance on the design and integration of AI services into enterprise, high-availability, mission-critical financial aid systems, ensuring interoperability, resiliency, reliability, and performance at scale. Communicating complex AI concepts, architectures, and strategic recommendations to technical and non-technical stakeholders, including senior leadership.

Qualifications

Minimum Qualification Requirements You may meet the minimum qualifications for the GS-15, if you possess the specialize experience. Specialized Experience for the GS-15 One year of experience in either federal or non-federal service that is equivalent to at least a GS-14 performing two (2) out of three (3) of the following duties or work assignments: 1. Experience designing, developing, testing, deploying, and maintaining enterprise-scale AI applications, including generative AI and large language model solutions. This includes translating requirements into working software, evaluating model performance, automating deployments, monitoring production systems, and continuously improving reliability, security, and performance. 2. Experience integrating AI models and services into complex enterprise applications using APIs, data pipelines, and cloud technologies. This includes designing secure, scalable architectures, making technical design decisions, reviewing solutions, and collaborating with engineering, security, and business teams to deliver reliable AI capabilities. 3. Experience implementing AI governance and responsible AI practices throughout the software development lifecycle. This includes evaluating model risks, protecting sensitive data, testing AI outputs for accuracy and bias, implementing security and compliance controls, and monitoring AI systems to ensure safe, reliable, and responsible operation. Basic Experience Requirements: Applicants may qualify by meeting or exceeding the minimum proficiency level established for each of the required competencies, in addition to meeting the specialized experience requirement as demonstrated through the assessment of skills. You must possess IT-related experience (paid or unpaid experience and/or completion of specific, intensive training (e.g., IT certification), as appropriate) demonstrating each of the nine competencies listed below. Attention to Detail - Is thorough when performing work and conscientious about attending to detail. Customer Service - Works with clients and customers (i.e., any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services. Decision Making - Makes sound, well-informed, and objective decisions; perceives the impact and implications of decisions; commits to action, even in uncertain situations, to accomplish organizational goals; causes change. Information Management - Identifies a need for and knows where or how to gather information; organizes and maintains information or information management systems. Interpersonal Skills- Shows understanding, friendliness, courtesy, tact, empathy, concern, and politeness to others; develops and maintains effective relationships with others; may include effectively dealing with individuals who are difficult, hostile, or distressed; relates well to people from varied backgrounds and different situations. Oral Communication- Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately. Problem Solving- Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations. Teamwork- Encourages and facilitates cooperation, pride, trust, and group identity; fosters commitment and team spirit; works with others to achieve goals. Technical Competence- Uses knowledge that is acquired through formal training or on-the-job experience to perform one's job; works with, understands, and evaluates technical information related to the job; advises others on technical issues. Knowledge, Skills, and Abilities (KSAs) The quality of your experience will be measured by the extent to which you possess the following knowledge, skills and abilities (KSAs). You do not need to provide separate narrative responses to these KSAs, as they will be measured by your responses to the occupational questionnaire (you may preview the occupational questionnaire by clicking the link at the end of the Evaluations section of this vacancy announcement). 1. Knowledge of software engineering best practices and systems integration to build and operate large-scale, mission-critical AI systems. 2. Skill in applying cloud-native services and software engineering practices to ensure operational reliability of AI capabilities. 3. Ability to document and interpret business requirements and convert them into secure, scalable technical designs especially with AI technologies. 4. Knowledge of integrating AI services into complex enterprise systems, including API design, distributed architectures, system interoperability, high availability, fault tolerance, and performance optimization at scale. 5. Skill to provide expert technical advice, guidance, and recommendations to senior leadership on critical, and often complex AI & Software Engineering issues.

Education

Education cannot be substituted for experience for this position and grade level.

Original posting on Federal Student Aid's site ↗

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