Technical AI Requirements Systems Engineer - TS/SCI & Full Scope Poly - Hyrid in Annapolis Jct, MD
Booker DiMaio, LLC
- Location
- Hybrid (Annapolis Junction, MD)
- Employment
- Full-time
- Level
- Mid Level
Posted 4 weeks ago
About the Role
Booker DiMaio is seeking a Technical AI Requirements Systems Engineer to oversee the planning, design, and implementation of mission-critical systems. The role involves collaborating with stakeholders and development teams to define functional requirements and validate AI-enabled features within an enterprise application.
Skills
Systems Engineering
Artificial Intelligence
Machine Learning
Java
JavaScript
RESTful Microservices
Cloud Architecture
Amazon Web Services
Requirements Definition
Functional Testing
Agile Delivery
Jira
Technical Specifications
Stakeholder Management
Software Development
Enterprise Application Integration
Full job details
An active Top Secret/SCI Clearance with a Full Scope Polygraph is required.
This job is onsite in Annapolis Junction, MD with 1 remote day each week.
We have an immediate need for a Technical AI Requirements Systems Engineer to support and assist with overseeing the planning, design, and implementation of a mission-critical system. 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. Perform hands-on technical execution, low-level requirements definition, and functional validation of new features for an enterprise application integrating AI-enabled capabilities.
Required Experience:
This job is onsite in Annapolis Junction, MD with 1 remote day each week.
We have an immediate need for a Technical AI Requirements Systems Engineer to support and assist with overseeing the planning, design, and implementation of a mission-critical system. 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. Perform hands-on technical execution, low-level requirements definition, and functional validation of new features for an enterprise application integrating AI-enabled capabilities.
Required 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
- 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