AI ENGINEER (MATHEMATICIAN)

Full Job Description

The Division of Economic and Risk Analysis is seeking an AI Engineer (Mathematician) in the Office of Data Science (ODS).

ODS leads initiatives to develop and support cutting-edge data analytics and data services for the enterprise.

By providing artificial intelligence solutions and sophisticated data resources, ODS enables data-driven decisions and enhances data usability to support mission-critical activities at the SEC.

Applicants are responsible for confirming all required materials are submitted by the closing date of the announcement.

Please check the How You Will Be Evaluated and Required Documents sections carefully, as missing documents will render the application incomplete and ineligible for review.

Qualifying experience may be obtained in the private or public sector.

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. All qualification requirements must be met by the closing date of this announcement.

BASIC REQUIREMENT: Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics.

or Combination of education and experience -- courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education.

The total course work in either A or B above must have included differential and integral calculus and, in addition, four advanced mathematics courses requiring calculus or equivalent mathematics courses as a prerequisite.

MINIMUM QUALIFICATION REQUIREMENT: In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement SK-14: Applicant must have at least one year of specialized experience equivalent to the GS/SK-13 level: Implementing and operationalizing advanced machine learning, artificial intelligence, natural language processing, text analytics and/or network analysis on datasets using the Python (or comparable) programming language; AND Overseeing the implementation of projects using advanced analytic techniques.

ACCOMPLISHMENT RECORD COMPETENCIES: Your Accomplishment Record narratives should address the following competencies.

See the How You Will Be Evaluated section below for more information: Technical Expertise in AI/ML: Applies AI/ML, quantitative modeling, and statistical analysis skills to build and maintain models and advance research while applying responsible AI practices.

Operationalizes AI systems into production. Technical Execution - Produces clean, well-documented code.

Uses reproducible workflows through strong version control, structured processes, and consistent attention to technical quality.

Technical Communication: Translates technical information into non-technical terms and accurately convey technical information to end users (e.g., staff, management) and outside parties, including the technical documentation of applications, systems, Standard Operating Procedures, etc.

Teamwork and Collaboration - Interacts with internal and external others in a manner that advances SEC goals and objectives.

Applicants who advance in the hiring process will complete several assessment steps.

Top candidates emerging from the accomplishment-record review will be invited to complete a proctored technical assessment, which may be administered in person at Headquarters in Washington, DC, or remotely under secure monitoring protocols.

All candidates must complete the assessment independently and without the use of AI tools or external assistance. Candidates who pass this stage will proceed to a first-round interview.

Those who advance from the first-round interview will be asked to deliver an oral presentation to a hiring panel. Major Duties:

As an AI Engineer , you will be responsible for: Serves as a subject matter expert in the science of artificial intelligence and machine learning and advises and/or consults with both internal and external stakeholders on issues concerning application of those technologies.

Communicates complex technical concepts to non-technical stakeholders. Collaborating with other technical teams to integrate research and development outputs into production environments.

Manages and guides the technical development of projects by contracted developers.

Designing, developing, maintaining, and modifying quantitative models, metrics, and reports that support various program areas.

Conducts quantitative and qualitative analyses and evaluations using a wide variety of commercial and SEC databases to support the mission of the SEC.

Writing clear, maintainable, well-documented code that supports long-term readability and team collaboration.

Familiar with version control practices to ensure transparency, traceability, and collaborative development.

Designs analyses and experiments to be fully reproducible through structured project organization, environment management, pinned dependencies, and deterministic workflows.

Developing and operationalizing AI models programmatically, including generating, parsing, and interpreting structured AI responses.

Engineers high-performing prompts and retrieval-augmented workflows to refine accuracy and reduce errors.

Implements responsible AI practices to ensure outputs are reliable and aligned with organizational risk objectives.