Systems Engineer, AI Requirements (SAB-2611-05)

Help plan, design, and deliver a mission-critical enterprise application that is adding AI-enabled features. You will work directly with customers, systems engineers, developers, and AI stakeholders so new capabilities are defined, built, tested, and delivered correctly, with hands-on work on detailed requirements and functional testing in an Agile team. Open to mid-level and senior candidates; pay within the range depends on level and experience. What you will do: - Work with customers to define detailed functional requirements and turn them into technical specifications - Write Jira epics and user stories for the development team - Run functional tests of new features - Serve as a technical liaison and explain AI approaches and trade-offs to technical and non-technical audiences - Spot practical ways to apply new AI and machine learning capabilities Required qualifications: - Active TS/SCI clearance with polygraph completed within the last 7 years (U.S. citizenship required). - Bachelor's degree, plus 6 years of systems engineering experience for mid-level or 10 years for senior. Without a degree, 10 years for mid-level or 14 years for senior. A master's degree counts for 2 years. - Senior level also needs 5 years of leading and guiding mid-level engineers. - Experience in analytical or intelligence production organizations, and with Agile or spiral development. - Familiarity with software development using Java or JavaScript frameworks, RESTful microservices, and cloud architecture and deployment on AWS. - Experience eliciting, analyzing, and documenting detailed functional requirements with customers and turning them into technical specifications. - Experience turning high-level requirements into Jira user stories and epics. - Experience conducting functional testing of application features. - Experience as a technical liaison across systems engineers, developers, and domain experts, including presenting AI approaches and their trade-offs. - Awareness of modern AI and machine learning advances and how to apply them to enterprise applications. Preferred qualifications: - Designing or refining technical artifacts for AI integration - Evaluating AI architectures, model performance, and system-level integration trade-offs - Coordinating AI-driven solutions from concept to deployment - Keeping current with AI and machine learning advances and applying them to existing systems Location: On-site at a contractor facility in Annapolis Junction, MD, with up to 1 day a week of telework as tasking allows. Schedule: Full-time, W-2 Sabre Engineering employee. 40 hours a week, normal day shift. Salary range: $120,000 to $174,000 per year, based on level, experience, and qualifications. Benefits: - Medical plans, with Sabre paying 75% of premiums for you and your dependents - Dental and vision coverage, with Sabre paying 100% of premiums for you and your eligible dependents - Sabre contributes up to 10% of your salary to your 401(k) through profit sharing, fully vested from day one - 6 weeks of paid time off per year, including 10 holidays - Company-paid long-term disability; voluntary short-term disability and life insurance - Up to $5,000 a year for job-related training, plus $500 a year for technical books and subscriptions - Employee referral bonus of up to $5,000 How to apply: Email your resume to jobs@sabre-eng.com with "SAB-2611-05 Systems Engineer, AI Requirements" in the subject line. Word format is preferred. This position supports a U.S. government contract. Hiring is contingent on approval by our prime contractor and the government customer. Sabre Engineering is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected ve eran status.