About the posting
“This includes translating requirements into working software, evaluating model performance, automating deployments, monitoring production systems, and continuously improving reliability, security, and performance. 2.”
Read the full posting on USAJOBS
Seen live Oct 23, 2026; first seen Oct 21, 2026.
Pay in context
This posting lists $147,945 to $197,200 a year, a midpoint of $172,573.
How long it has been open
Posted Oct 21, 2026, 3 days ago, and seen on USAJOBS today.
At 3 days old, it is under the 74-day median.
The application
Applying goes through USAJOBS.
We help you prepare; the form is filled by you.
Seniority
The posting mentions 2+ years.
Place and cost of living
On site in San Francisco, CA; prices in CA run 11 percent above the US average.
The software engineering market in San Francisco, CA
1872 software engineering postings in San Francisco, CA are open right now, from 315 employers.
Half of them have been open 74 days or less.
Federal posting
Listed on USAJOBS, with 11 duty stations.
Apply only through the official announcement.
From the USAJOBS announcement
This is the text of the announcement as published on USAJOBS. We last checked it on Oct 23, 2026. Apply on USAJOBS. We remove a posting when the agency closes it.
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.
Major 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.
Federal jobs from USAJOBS, retrieved Oct 23, 2026. Second Summit is not operated, sponsored or endorsed by OPM.
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Federal jobs from USAJOBS, retrieved Oct 23, 2026. Second Summit is not operated, sponsored or endorsed by OPM.