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The Senior AI Software Engineer at the Office of Technology Transformation Services (TTS) within the General Services Administration leads the development of secure, ethical, mission-aligned AI strategies and architectures across federal programs, applying engineering best practices.
This federal role requires one year of specialized experience at the GS-13 level, mastery of languages like Python/JavaScript, cloud-native methods, cybersecurity-by-design, and the ability to guide AI, data
As a Senior Al Software Engineer, you will develop secure, ethical, and mission-aligned AI strategies and architectures across the federal government using engineering best practices.
This position is with the Office of Technology Transformation Services (TTS), Federal Acquisition Service (FAS), General Services Administration (GSA).
We are currently filling multiple vacancies, but additional vacancies may be filled as needed.
The GS-14salary range starts at $138,595per year.
If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected.
To qualify, you must have at least one year of specialized experience equivalent to the GS-13 level in the Federal service.
Attention to Detail - Is thorough when performing work and conscientious about attending to detail.
Customer Service - Works with clients and customers (that is, 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 - This skill is generally demonstrated by assignments where the applicant persuades others to take a particular course of action or to accept findings, recommendations, changes, or alternative viewpoints.
Problem Solving - This skill is generally demonstrated by assignments where the applicant identifies and accommodates technology and resource constraints.
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.
Developing, testing, debugging, and maintaining large-scale, complex digital applications and services for public-facing or enterprise environments, including data engineering, cloud-native architectures, computer hardware/software integration, cybersecurity-by-design, performance requirements, interoperability, and/or secure deployment of emerging technologies. This includes applying modern programming languages, frameworks, and technologies (e.g., Python, Go, JavaScript, TypeScript, Node.js, React, Ruby on Rails, Terraform, Next.js, HTML/CSS, Rust).
Applying artificial intelligence and machine learning technologies, including generative AI tools and models to develop production grade AI-enabled systems.
Implementing and applying information security and privacy best practices, performing risk assessments, and ensuring compliance with security policies and standards during digital product development and deployment.
Providing technical guidance and consultation on AI, data strategy, and emerging technologies to stakeholders, partner agencies, and technical teams; translating mission and business requirements into scalable, secure, and workable engineering solutions; and resolving complex technical issues involving multiple IT disciplines.