Systems Engineer III, AI Experience

Gormat•Annapolis Junction, MD

About The Position

The Systems Engineer III provides technical leadership for systems engineering efforts involving complex hardware and software systems and AI-enabled capabilities. The role analyzes user requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications; leads system design and development; and guides users in developing requirements, evaluating alternatives, and conducting feasibility studies. The position manages system and derived requirements to align production systems with defined architectures, including DoDAF and service-oriented architecture. It develops and reviews systems engineering documentation, directs engineering and integration activities, and establishes processes for requirements traceability, configuration control, risk management, verification, and validation. The engineer coordinates integration across teams, resolves cross-disciplinary technical issues, evaluates design alternatives, and communicates technical risks and recommendations to Government stakeholders, program personnel, and senior leadership. The role is responsible for the technical integrity and quality of systems engineering work products and deliverables.

Requirements

Active TS/SCI clearance with polygraph.
Twenty years of experience as a System Engineer supporting programs and contracts of similar scope, type, and complexity.
Demonstrated experience planning and leading systems engineering efforts.
Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related technical discipline from an accredited college or university; five additional years of systems engineering experience may substitute for the degree.
Professional experience supporting the design, development, integration, evaluation, or deployment of artificial intelligence or machine learning capabilities within complex systems.
Experience across the systems engineering lifecycle, including requirements analysis, architecture, design, integration, testing, deployment, operations, and sustainment.
Strong technical documentation, communication, and stakeholder coordination skills.

Nice To Haves

Experience integrating AI/ML capabilities into mission systems or operational environments.
Familiarity with AI/ML development lifecycles, model evaluation, data requirements, deployment considerations, or responsible AI practices.
Experience supporting systems within the Department of Defense or Intelligence Community.
Experience with DoDAF, service-oriented architecture, Model-Based Systems Engineering, requirements management, or system architecture tools.

Responsibilities

Analyze user requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications.
Lead system design and development activities and guide users in formulating requirements, evaluating alternative approaches, and conducting feasibility studies.
Provide technical leadership for integrating requirements, design, technology, and AI-enabled capabilities.
Manage system and derived requirements to ensure production systems align with defined architectures, including DoDAF and service-oriented architecture.
Develop and review Systems Engineering Plans, requirements specifications, Interface Control Documents, architecture documentation, and system integration and test plans.
Provide technical direction for development, engineering, interfacing, integration, and testing of complex hardware and software systems.
Develop system architectures, concepts of operation, interface standards, technical assessments, and end-to-end flow analyses.
Establish and maintain requirements traceability, configuration control, risk management, verification, and validation processes.
Coordinate system integration across multiple teams and resolve technical issues requiring cross-discipline collaboration.
Evaluate system design alternatives based on performance, lifecycle cost, reuse, complexity, risk, scalability, and mission needs.
Communicate technical considerations, risks, issues, and recommendations to Government stakeholders, program personnel, and senior leadership.
Ensure the technical integrity and quality of systems engineering work products and deliverables.