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.
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WHAT YOU’LL NEED TO SUCCEED
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
Required Skills and 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
GDIT/ PRAXIS ENGINEERING IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
