Spectrum San Diego

AI/Machine Learning Engineer Principal

Posted Yesterday

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Chantilly, VA, USA

In-Office

Expert/Leader

Security

The Role

Provides AI/ML systems engineering and technical advisory support to a U.S. Government program office. Responsibilities include acquisition planning, source selection, AI/ML technology and architecture evaluation, Agile SAFe program activities, alternatives analysis, lifecycle systems engineering, risk and schedule management, technical assessments, and executive briefings. The role supports space and ground systems, vendor evaluations, research and development, integration, testing, deployment, and coordination across government stakeholders.

Summary Generated by Built In

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

About UsSAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Skills Required

Active TS/SCI clearance with polygraph
Bachelor’s degree in a science, technology, engineering, or mathematics discipline and at least 9 years of relevant work experience, or a master’s degree and at least 7 years of relevant experience
At least 5 years of acquisition support experience
Artificial intelligence and machine learning experience
Proficiency with Microsoft Office applications, including Word, Excel, PowerPoint, and SharePoint
Proficiency with Jira and Confluence
Critical thinking, problem-solving, and analytical skills
Interpersonal and communication skills for written reports, group discussions, and oral presentations
Interoffice and interagency coordination and collaboration experience
Systems engineering and integration experience involving spacecraft, ground, or launch systems
Research and development of artificial intelligence or machine learning agents
System acquisition, design, development, integration, testing, or flight operations experience
Experience applying artificial intelligence or machine learning technologies to space systems
Knowledge of Intelligence Community missions, organizations, disciplines, systems, or processes
Experience working as a Systems Engineering and Technical Assistance professional
Understanding of satellite architecture, including payloads and bus subsystems
Understanding of satellite operations, including planning and scheduling, mission management, and command and control