As an FBI IT Professional, your job is to ensure our law enforcement systems, as well as the entire cyberspace within which we work, are protected. This means applying your knowledge of computer technology, cybersecurity, Artificial Intelligence, and more to safeguard information across the FBI, as well as our domestic and international law enforcement partners
Duties
- Leverage artificial intelligence and machine learning to analyze enterprise data sets and develop solutions to complex business challenges.
- Conduct preliminary analysis of current systems to determine the feasibility of new or automated IT to resolve issues.
- Research, Develop, and implement AI technologies to meet emerging business and technology needs across the division..
- Provide technical advice to executive level managers based on developed expertise in the field of IT.
- Develop application software and provide post-implementation support including troubleshooting and error resolution with program execution.
- Coordinate cross agency AI projects involving digital transformation, data platforms, and secure computing infrastructures.
- $68,545 - $97,867/year
- Must be a U.S. citizen.
- Must be able to obtain a Top Secret-SCI clearance.
- Some travel may be required.
GS-9: Applicant must possess at least one (1) year of SE equivalent to the GS-7 grade level. SE is defined as follows:
- Utilized programming or scripting languages, such as Python or Node.js, to automate tasks or improve process efficiencies.
- Processed and cleansed information in databases to better create visualizations and data models.
- Maintained AI tools and platforms such as generative AI models or Large Language Models (LLMs).
- Communicated technical concepts or issues with technical stakeholders.
GS-11: Applicant must possess at least one (1) year of SE equivalent to the GS-9 grade level. SE is defined as follows:
- Built full-stack AI applications to enhance databases, Application Program Interfaces (API), back-end development, or cloud architecture.
- Processed and cleansed information in databases to better create visualizations and data models.
- Integrated and maintained AI tools and platforms such as generative AI models or Large Language Model (LLMs) systems into pre-existing networks.
- Communicated technical concepts or issues with technical and non-technical stakeholders.
Desired Skills
Desired skills are NOT mandatory and will NOT be utilized to minimally qualify applicants. Desired Skills are:
- Knowledge of multiple programing languages such as Python, R, C++, and Java.
- Experience with API development and testing tools such as Fast API framework and ReadyAPI.
- Experience working with Large Language Models (LLMs) in cloud environments.
- Experience working with AI models as a Code Assistant such as Anthropic Claude Code or GitHub Copilot.
- Experience with cloud environments such as AWS and Azure.
- Experience processing data with SQL and NoSQL databases.
- Knowledge of operational AI concepts such as Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), Agentic AI.
- Experience with containerization (Docker, Kubernetes), CI/CD pipelines, model versioning (MLflow), and real-time inference.
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Utilizing the Resume Builder, outline your relevant work experience and associated start and end dates. Uploaded resumes will not be reviewed or used for qualification purposes.
- Other supporting documents (if applicable):
- College transcripts, if qualifying based on education or if there is a positive education requirement.
- Former civilian Federal employees must submit a copy of your MOST RECENT SF-50 (Notification of Personnel Action) showing your tenure, grade and step, salary, and type of position occupied (i.e., Excepted or Competitive); or similar Notification of Personnel Action documentation, i.e., Transcript of Service, Form 1150, etc. This is a requirement to verify your Time in Grade (TIG). Actions such as promotion, within grade increase, or reassignment actions must be submitted as your most recent SF 50.
- Most recent Performance Appraisal; not applicable to current FBI employeesVeterans: DD 214; Disabled Veterans: DD 214, SF-15, and VA letter dated 1991 or later.
- Memorandum for Record (MFR): Work performed outside assigned duties (that would not normally be documented on an SF-50, i. e., back-up duties), has to be documented in detail by an immediate supervisor in order to receive full credit for amount of time worked in that position. If no documentation is furnished no credit will be given for time worked in that position. The following notations must be specified in the documentation:
- Percent of time worked in the particular position (cannot conflict with main duties.
- The month/year work beganFrequency worked (i.e., daily, monthly, etc.)
- Specific duties performed.
To apply for the AI Engineer position, please click here.
The official title of this position is IT Specialist.