Technical AI Requirements Systems Engineer - TS/SCI & Full Scope Poly - Hyrid in Annapolis Jct, MD

Booker DiMaio, LLC

Columbia (MD)

Hybrid

USD 130.000 - 170.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Remote day per week

Zusammenfassung

Booker DiMaio, LLC seeks a Technical AI Requirements Systems Engineer to oversee planning, design, and implementation of mission-critical AI-enabled software. You will collaborate with customers, systems engineers, developers, and AI stakeholders to ensure features are defined, built, tested and delivered.

Role involves hands-on technical execution, translating high-level requirements into actionable Jira stories, and actively participating in Agile delivery throughout the lifecycle.

Qualifikationen

  • Experience eliciting, analyzing, and documenting detailed functional requirements.
  • Translate high-level requirements into Jira user stories and epics for development teams.
  • Functional testing of application features.
  • Collaboration with cross-functional teams including system engineers, developers, and domain experts.
  • Awareness of AI/ML advancements and practical applications to enterprise apps.

Aufgaben

  • Oversee planning, design, and implementation of a mission-critical system integrating AI-enabled capabilities.
  • Work directly with customers, systems engineers, developers, and AI stakeholders to define, build, test and deliver capabilities.
  • Engage with development teams and stakeholders through Agile delivery lifecycle.
  • Perform hands-on execution, low-level requirements definition, and feature validation.

Jobbeschreibung

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:
  • 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
Desired Experience:
  • 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
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