AI Requirements Engineer

General Dynamics Information Technology•Annapolis Junction, MD
•$255,000 - $345,000•Hybrid

About The Position

GDIT/Praxis Engineering is hiring an AI cybersecurity engineering subject matter expert to support a mission-essential customer and national security cyber missions. The role performs hands-on technical execution, low-level requirements definition, and functional validation of new features for an enterprise application integrating AI-enabled capabilities. The engineer works directly with customers, systems engineers, developers, and AI stakeholders to define, build, test, and deliver mission-driven software capabilities, collaborating tactically with development teams and participating in Agile delivery throughout the development lifecycle. The position requires an active Top Secret/SCI clearance with polygraph, U.S. citizenship, a bachelor’s degree, and 15 or more years of related experience. The work involves eliciting and documenting detailed functional requirements, converting requirements into technical specifications and Jira work items, and conducting functional tests. The engineer also serves as a technical liaison, communicates AI approaches and implementation tradeoffs to technical and non-technical stakeholders, and applies knowledge of modern AI/ML to identify practical opportunities for enterprise applications. The role is hybrid, based in Annapolis Junction, Maryland, with additional remote work locations listed.

Requirements

  • Active Top Secret/SCI clearance with polygraph.
  • U.S. citizenship.
  • Bachelor of Arts or Bachelor of Science degree.
  • 15 or more years of related experience.
  • Familiarity with software development using Java or JavaScript frameworks, RESTful microservices, and cloud-based architecture and deployment using Amazon Web Services (AWS).
  • 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.
  • Experience conducting functional testing of application features.
  • Ability to collaborate across technical and domain teams and clearly communicate recommended AI approaches and implementation tradeoffs to technical and non-technical stakeholders.
  • Knowledge of modern AI/ML advancements and ability to identify practical opportunities to apply emerging capabilities to enterprise applications.

Nice To Haves

  • Experience designing or refining technical artifacts specifically for AI integration.
  • Ability to evaluate AI architectures, assess model performance, and identify system-level integration tradeoffs.
  • Experience coordinating the design and development of AI-driven solutions from conception to deployment and integrating them with existing software architecture.
  • Keeps current with AI and machine-learning advancements and seeks opportunities to apply new technologies and methodologies to improve systems and solve complex problems.

Responsibilities

  • Perform hands-on technical execution, low-level requirements definition, and functional validation for new features of an enterprise application integrating AI-enabled capabilities.
  • Work directly with customers to elicit, analyze, and document detailed functional requirements and convert them into technical specifications.
  • Translate high-level requirements into actionable Jira user stories and epics for development teams.
  • Conduct functional testing of application features.
  • Serve as a technical liaison and collaborate with systems engineers, software developers, domain experts, and other cross-functional stakeholders.
  • Present and explain recommended AI approaches, including the tradeoffs and implications of different implementations, to technical and non-technical stakeholders.
  • Identify practical opportunities to apply modern AI/ML capabilities to enterprise applications.
  • Participate in Agile delivery and collaborate with development teams throughout the development lifecycle.

Benefits

  • Comprehensive benefits and wellness packages.
  • 401(k) with company match.
  • Competitive pay.
  • Paid time off, including vacation, sick and personal leave, and paid holidays.
  • Medical plan options, some with Health Savings Accounts.
  • Dental plan options.
  • Vision plan.
  • Paid parental leave, including a paid family leave program of up to 160 hours in a rolling 12-month period for eligible employees.
  • Short- and long-term disability benefits.
  • Life insurance.
  • Accidental death and dismemberment insurance.
  • Personal accident insurance.
  • Critical illness insurance.
  • Business travel and accident insurance.
  • Full-flex work weeks where possible.
  • AI-powered career tool to identify career steps and learning opportunities.
  • Internal mobility support for career goals.
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