CNO Support SE5

This is a full-time position requiring 1880 hours of support per year; and work is performed at a customer location. As a Senior Computer Network Support Systems Engineer you will support a customer computer network operations organization by providing systems engineering and project management expertise to assist with the following activities:

• Perform analysis and provide recommendations pertaining to proposed AI/ML architecture designs and proposals

• Work with organizations to coordinate and help shape interactions on AI/ML deployments with the customer’s enterprise

• Coordinate activities to assess program management planning, execution, and reporting processes for various projects that include software, sustainment, and advanced technology initiatives

• Assist with operating in an agile development process including maintaining agile development tools such as Jira and Confluence

• Develop new processes, as needed, and ensure that the processes are reliable, repeatable, and sustainable

• Assist in defining process improvement strategies and lessons learned

• Document existing processes

​

Requirements

Individual Capabilities/Experience Required:

• Bachelor’s degree or advanced degree in computer science, information systems, engineering or other related discipline plus at least 15 years of systems engineering experience. A Master’s degree or PhD may be substituted for two years of experience. A high school diploma or GED plus 19 years of systems engineering experience would also be acceptable

• AI/ML experience, especially relating to LLM-based systems

• Systems Engineering, process engineering, and project management experience

• Familiarity with working in an agile development environment

• Familiarity with Jira and Confluence agile development tools

• Position requires TS/SCI clearance with polygraph.

Individual Capabilities/Experience Desired:

• Excellent interpersonal skills and diplomacy

• Excellent oral and written communication skills

• Ability to work in fast paced environments

Key words:AI, ML, LLMs, Systems Engineering, Process Engineering, Project Management, Mission Applications, Process Improvement, Jira, Confluence, Agile