Ai Systems Engineer

Kavaliro

Job Description

The DoD AI Program Office leads the integration of AI capabilities into the National Geospatial-Intelligence Agency (NGA) and the National System for Geospatial-Intelligence (NSG). This role ensures the end-to-end engineering and integration of AI-driven solutions, overseeing the development of systems infrastructure, including hardware and software implementation.

Responsibilities:

Lead requirements engineering, solutions development, and systems integration across NSG, ASG, and Federal Agencies.
Provide technical planning, scheduling, reliability, and resiliency analysis for enterprise AI solutions.
Support requirements traceability, architecture analysis, and workflow optimization, including cloud service capabilities.
Advise on solution design modifications based on evolving mission requirements and technology advancements.
Conduct Analysis of Alternatives (AoAs), Course of Action (CoA) assessments, Trade Studies, and Engineering Assessments.
Oversee operational technical planning, project management, performance engineering, risk management, and interface design.
Lead the integration of a DoD AI/ML program across NGA, Defense Intelligence Enterprise (DIE), and the Intelligence Community (IC).
Provide technical oversight to Mid- and Junior-level contractor Systems Engineers.
Demonstrate deep understanding of DIE, NSG, ASG, and NRO enterprises.

Required:

Education & Experience:
Bachelor's degree in Computer Science, Information Systems, or a related discipline.
6+ years of experience in the DoD and/or Intelligence Community.
12+ years of experience in government or industry supporting: § DoD/IC Acquisition Process, Requirements Process, PPBE Process, or § Systems engineering for large, complex System of Systems or Service-Oriented Architecture/Cloud environments.

Technical Expertise:
Strong understanding of the systems engineering lifecycle and SAFe development.
6+ years of experience working with Department of Defense Architectural Framework (DoDAF) standards.
Experience working with Model-Based Systems Engineering (MBSE).
Proficiency in systems engineering tools and methodologies. Desired:
- Advanced Education & Certifications:
- Master's degree in Systems Engineering or a related STEM field.
- Software Development Framework certification.
Technical Expertise & Tools:
Knowledge of Model-Based Systems Engineering (MBSE), tools, and languages.
Experience engineering solutions with: § Cloud-based technologies § Big Data (structured/unstructured) § Automation, Augmentation, and Artificial Intelligence
Expertise in geospatial intelligence and related disciplines. Location:
- Springfield, VA
- This position is on site and there is no remote availability
Clearance Requirement:
- Active TS/SCI and CI Polygraph
- Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements.
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

By using best practices and optimal employee recruiting strategies, Kavaliro provides employers with employment solutions by providing the most qualified and professional employees, who can staff both project and permanent positions in order to ensure the ongoing success of all types of businesses. We use a streamlined-yet-thorough approach to staffing that saves our clients administrative time, resources and money.

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Vacancy posted 3 days ago

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