# Technical AI Requirements Systems Engineer

**Company**: GDIT
**Location**: Annapolis Junction, MD
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $170,000 - $230,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/USA-MD-Annapolis-Junction/Technical-AI-Requirements-Systems-Engineer_RQ226365?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7f8f5d86-8c5

## Description

As a Technical AI Requirements Systems Engineer at GDIT/Praxis Engineering, 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.

You will work directly with customers, systems engineers, developers, and AI solution stakeholders to ensure mission-driven software capabilities are accurately defined, built, tested, and delivered.

Responsibilities:

- Collaborate with cross-functional teams, including system engineers, software developers, and domain experts

- 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

- Identify practical opportunities to apply emerging AI/ML capabilities to enterprise applications

Requirements:

- Active TS/SCI with Polygraph security clearance

- US citizenship

- Bachelor of Arts/Bachelor of Science degree

- 8+ years of related experience

- Familiarity with software development using Java or JavaScript frameworks, RESTful microservices, and Cloud-based architecture and deployment (Amazon Web Services)

Benefits:

- Comprehensive benefits and wellness packages

- 401K with company match

- Competitive pay and paid time off

- Hybrid telework options

## Skills

### Required
- Java
- JavaScript
- RESTful microservices
- Cloud-based architecture
- Amazon Web Services
- Agile delivery
- Jira

### Nice to have
- AI/ML
- machine learning
- data analysis

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