ARServices seeks a System Engineer to contribute to the DoD Chief Digital and Artificial Intelligence Office’s (CDAO) AI Talent 2.0 program. CDAO is responsible for the establishment of the strategy, best practices, architectures, and tools to ensure that the DoD has reliable, ethical, and trusted AI-enabled systems. This position will play a key role in CDAO's goal of maximizing continuous iteration / continuous development, application of responsible AI concepts, and enterprise scalability. Systems work will further comply with DoD policy as it pertains to risk-managed access to data, active collaboration in the industry/academic/government data and AI communities, and efficient acquisitions and procurement strategies.

　　Requirements

　　Inspects legacy software applications to determine viability of AI applications

　　Responsible for designing, consolidating, and integrating computer networks and advanced networking solutions, including local area networks (LANs), wide area networks (WANs), service provider networks, Enterprise Networks, Data centers for the build out of a platform and infrastructure that effectively support processing of AI/ML workloads and delivering scalable AI capabilities

　　Ensures that the consortium members are proposing and working towards a common interoperable technical vision

　　Identifies high level architectures and design patterns best suited to a complex multi-vendor, multi-organization environment

　　Identifies technical risks and mitigation strategies

　　Leads the design of extensive multi-tier architectures with various levels of enabling platforms and technologies and the design of API and data standards

　　Performs network and security assessment, including gap analysis using information gathering tools

　　Creates relevant documentation, such as diagrams, detailed assessments, and design document

　　Inspects legacy software applications to determine how new AI components or features can be developed and integrated

　　Designs and implements high-availability and multi-layer secure network infrastructures

　　Develops new concepts for AI service delivery and automation

　　Investigates, designs, and deploys new network technologies

　　Ensures compliance of network infrastructure to global standards

　　Assists in the evaluation of new products and services; makes recommendations for improvements and assists in the development and documentation of network architecture

　　Performs capacity and resource planning

　　Works with CFT team members, working groups and committees to provide senior level technical direction, leadership, and guidance in the accomplishment of challenging tasks including the operational use of AI (both ML and non-ML)

　　Initiates and develops methods to assess the end-to-end systems performance using operational measurements or other available test beds in order that end-to-end performance objectives are met

　　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

　　Visits field installations, research and development or commercial organizations to obtain or exchange complex technical information.

　　Serves as a CDAO representative for agency-wide Integrated Product Teams (IPTs)

　　Ensures all the functional and performance analysis models developed reflect the operational performance requirements

　　Qualifications:

　　Active DoD Secret Clearance required (TS/SCI strongly desired)

　　Strong knowledge of proven experience with network capacity planning, network security principles, and general network management best practices

　　Experience with network design/development and design of API and data standards

　　Great technical writing skills

　　Experienced in Python programming

　　Familiarity with and understanding of: Joint Information Environment (JIE) solution architectures and concepts; Routing design and protocols (OSPF, EIGRP, BGP, etc.); Software Defined Networking; Networking concepts (TCP/IP, routing, switching); Data Center and Network Functions Virtualization (NFV); VDI, Remove Access, Cross Domain Solutions, DevSecOps; QoS, Traffic Engineering