Barbaricum is seeking a Senior Systems Engineer to contribute to the DoD Chief Digital and Artificial Intelligence Office’s (CDAO) mission. CDAO is responsible for the acceleration of the DoD’s adoption of data, analytics, and Artificial Intelligence to generate decision advantage from the boardroom to the battlefield. CDAO is tasked with building a strong foundation for data, analytics, and AI-enabled capabilities to be developed and fielded at scale. This position directly supports CDAO’s Chief Technology Officer and will play a key role in advancing CDAO’s AI/ML and data-driven initiatives   Barbaricum has been supporting CDAO for more than 3 years, including current support to the T&E Directorate and Resource and Management Office. This position is a new role on a team that will provide SETA support to the CDAO CTO.

Responsibilities:

Ensures that the consortium members are proposing and working towards a common interoperable technical vision. Provide collaborative technical leadership alongside industry and government partners to establish high level data mesh design patterns and proofs of concept/ prototypes suited to a complex multi-vendor, multi-organization environment. Proactively identifies and develops solutions to identify and mitigate technical risks, ensuring compliance to with global standards as well as interoperability with DoD systems. Create and review others’ relevant documentation, such as diagrams, detailed assessments, and design document. Assist in the evaluation of new products and services; make recommendations for improvements and assist in the development and documentation of network architecture. Serves as a senior technical advisor in formulating the technical approaches, selection of the tools, diagnostics methods for solving the customer problems utilizing artificial intelligence in a timely manner. Consults with organizations to obtain or exchange complex technical information. Ensures all the functional and performance analysis models developed reflect the operational performance requirements.

Qualifications:

Active DoD Secret Clearance Required. Bachelor’s degree plus 7-10 years experience, or a Masters Degree plus 5 years of experience; Education must be in Systems Engineering or closely related discipline such as Modeling and Simulation Engineering. Strong knowledge of proven experience with network capacity planning, network security principles, and general network management best practices. Experienced in Python programming and in industry-standard Software Engineering software (e.g., Cameo, IBM Rhapsody, Labview, or any other Model-Based Systems Engineering). Experience with network design/development and design of data exchange standards such as APIs, cloud storage, and access-denied environments. Great technical writing skills. Familiarity and understanding of: Data Mesh Design, Systems of Systems, Systems Engineering Zero Trust Architecture Access Management DoD Classification Implementation Microservice Architecture