About this opportunity
Saic lists this AI/Machine Learning Engineer Principal opportunity in chantilly, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Description
SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of professionals providing technical and program services to the U.S. Government (USG). SAIC provides research, engineering, design, analysis, acquisition, development, integration, test, and operations support USG Intelligence Community (IC) and Department of Defense (DoD) customers.
The AI/ML systems engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms. This position provides Systems Engineering & Technical Advisory (SETA) support services.
Job Description:
Work with government technical and contracts staff developing program acquisition packages including but not limited to statement of work, Justification & Approval, development of Request for Contract Action Package (RCAP) artifacts, Request For Information (RFI), Request For Proposal (RFP), and executive briefing materials
Provide acquisition advisory services during technical and cost evaluations of RFIs and/or proposals in support of source selection
Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems
Support Agile SAFe program development processes and activities such as Program Increment (PI) Planning, development of epics, features, and demo coordination
Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs
Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment
Support systems engineering activities such as risk management, schedule management, and technical performance management
Briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations
Assessment of white papers and vendor marketing materials
Qualifications
Required Qualifications:
Active TS/SCI clearance with Poly
Assist in Interoffice and Interagency coordination and collaboration
Must have bachelor’s degree in science, technology, engineering, or math discipline with minimum of nine (9) years of relevant work experience or seven (7) years with master’s degree
Demonstrated acquisition support experience of 5 or more years
AI/ML experience
Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint)
Proficient skills using Jira and Confluence tools
Critical thinking, problem-solving, and analytical skills
Interpersonal and communication skills for written reports, group discussion, and oral presentations
Desired Qualifications:
Knowledge, skills, abilities, and/or experience in one of more of the following: Systems engineering and integration applied to spacecraft, ground, and launch systems
R&D of artificial intelligence/machine learning agents
System acquisition, design, development, integration, test, and/or flight operations
Artificial Intelligence and/or Machine Learning technologies applied to space systems
IC mission, organizations, disciplines, systems, and/or processes
Experience working as a SETA
General understanding of satellite architecture (payloads and bus sub-systems)
General understanding of satellite operations (planning & scheduling, mission management, and command and control
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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Worksite address
chantilly, VA, 22021, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.