AI Requirements Engineer

Type of

Requisition :
Regular Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph Public Trust/Other

Required:

None Job Family:
Cyber and IT Risk Management

Job Qualifications:

Skills:

Amazon Web Services (AWS), Software Development, Web Services

Certifications:

None

Experience:

15 + years of related experience US Citizenship

Required:

Yes

Job Description:

AI CYBERSECURITY ENGINEER SME Advance your career while impacting our national security in cyber as an AI Cybersecurity Engineer SME at GDIT/ Praxis Engineering. Here, technologists have many paths to grow a meaningful career supporting cyber missions and operations across the federal government.

MEANINGFUL WORK AND PERSONAL IMPACT As an AI Cybersecurity Engineer SME, the work you’ll do at GDIT will be impactful to a mission essential customer. You will play a crucial role in performing hands‑on technical execution, low-level requirements definition, and functional validation of new features for an enterprise application integrating AI-enabled capabilities. Candidates should be passionate about collaboratively solving challenging problems and have a track record of delivering high-quality solutions.

Work directly with customers, systems engineers, developers, and AI solution stakeholders to ensure mission-driven software capabilities are accurately defined, built, tested, and delivered. Engage tactically with the development team, close collaboration with stakeholders, and active participation in Agile delivery throughout development lifecycle.

Bring your cyber expertise and drive for innovation to GDIT.

The AI Cybersecurity Engineer SME must have:

• Security clearance level:
  Active TS/SCI with Polygraph required
• US citizenship required
• Education:
  
  Bachelor of Arts/Bachelor of Science
• Experience:
  
  15+ years of related experience

• Familiarity with software development using Java or JavaScript frameworks, RESTful microservices, and Cloud-based architecture and deployment (Amazon Web Services)
• Ability to work directly with customers to elicit, analyze, and document, detailed functional requirements and convert them into technical specifications
• Ability to translate high-level requirements into actionable Jira user stories and epics for development teams
• Experience conducting functional testing of application features
• Serving as a key technical liaison, collaborating with cross-functional teams, including system engineers, software developers, and domain experts.
• Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non‑technical stakeholders
• Knowledge of modern AI/ML advancements and ability to identify practical opportunities to apply emerging capabilities to enterprise applications

Desired

Experience:

Experience designing or refining technical artifacts specifically for AI integration Ability to evaluate AI architectures, assess model performance, and identify system-level integration tradeoffs Coordinating the design and development of AI‑driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture Staying current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems

• Growth: AI‑powered career tool that identifies career steps and learning opportunities
• Support:
  An internal mobility team focused on helping you achieve your career goals
• Rewards:
  Comprehensive benefits and wellness packages, 401K with…