Technical AI Requirements Systems Engineer
About The Position
Advance how our customers operate while you advance your career. Join GDIT/ Praxis Engineering as a Technical AI Requirements Systems Engineer and build an impactful career in enterprise IT, collaborating with people who are driven and resourceful like you. As a Technical AI Requirements Systems Engineer, the work you’ll do at GDIT/ Praxis Engineering will be impactful to the mission. 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.
Requirements
- Active TS/SCI with Polygraph required
- US citizenship required
- Bachelor of Arts/Bachelor of Science
- 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)
- 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
- Awareness 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
- 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
Responsibilities
- Performing hands-on technical execution, low-level requirements definition, and functional validation of new features for an enterprise application integrating AI-enabled capabilities.
- 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.
- 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 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.
- Identify practical opportunities to apply emerging AI/ML capabilities to enterprise applications.
- Coordinate the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
- Continuously seek opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
Benefits
- AI-powered career tool that identifies career steps and learning opportunities
- An internal mobility team focused on helping you achieve your career goals
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Variety of medical plan options, some with Health Savings Accounts
- Dental plan options
- Vision plan
- 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
- Full flex work weeks where possible
- Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- Short and long-term disability benefits
- Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
