Hybrid AI Requirements Systems Engineer for Enterprise IT

General Dynamics - IT; Corridor North (MD); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Telework option (1 day/wk)

Job summary

General Dynamics - IT is seeking a Technical AI Requirements Systems Engineer to shape AI-enabled enterprise software. You will work with customers, engineers, and stakeholders to define and validate features, translating requirements into Jira stories for delivery teams.

The role requires hands-on technical execution, strong collaboration across disciplines, and awareness of modern AI/ML advances. A hybrid schedule with up to one day telework supports work-life balance.

Qualifications

• Bachelor’s degree required; US citizenship and active TS/SCI with Polygraph are required.
• 8+ years of related experience in technical AI requirements and systems engineering.
• Proven ability to elicit, analyze, and document detailed functional requirements.
• Experience translating requirements into Jira user stories and epics.

Responsibilities

• Perform hands-on technical execution and low-level requirements definition for AI-enabled enterprise software.
• Collaborate with customers, systems engineers, developers, and AI stakeholders to ensure accurate specs.
• Translate high-level requirements into actionable Jira stories for development teams.
• Conduct functional testing of application features and validate AI integration.
• Act as a technical liaison across cross-functional teams and present AI approaches to stakeholders.

Skills

Java

JavaScript

RESTful microservices

Cloud (AWS)

Jira

Agile

AI/ML awareness

Requirements elicitation

Technical liaison

Functional testing

Education

Bachelor of Arts/Bachelor of Science

Tools

Jira

AWS

Job description

General Dynamics - IT is seeking a Technical AI Requirements Systems Engineer to shape AI-enabled enterprise software. You will work with customers, engineers, and stakeholders to define and validate features, translating requirements into Jira stories for delivery teams.

The role requires hands-on technical execution, strong collaboration across disciplines, and awareness of modern AI/ML advances. A hybrid schedule with up to one day telework supports work-life balance.