SAIC

AI SETA Systems Engineer

SAIC$120K — $160K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in STEM or related field with 5+ years experience or equivalent qualifications.
  • Active Top Secret/SCI Clearance with Polygraph is required.
  • 5 years of experience in SharePoint development and workflow automation.
  • Proficient in HTML, CSS, JavaScript, jQuery, React, and REST APIs.
  • Familiarity with automation tools like Power Automate and Power BI.
  • Experience using Git for version control and knowledge of DevSecOps toolchains.
  • Strong background in software architectures and machine learning, with experience in data management and AI best practices.

Responsibilities

  • Analyze data to ensure transparency and explainability of AI/ML systems.
  • Support the management of ML analytics programs and develop AI/ML models.
  • Provide software architecture expertise to guide future system planning.
  • Conduct systems analysis to identify technical debt and efficiency trade-offs.
  • Create briefings and technical documentation for computer vision tools.
  • Facilitate technical discussions to resolve issues and foster innovation.
  • Collaborate with GED SETA staff to acquire advanced processing applications.

Benefits

  • Comprehensive health benefits package including medical, dental, and vision coverage.
  • Generous paid time off policy including vacation and holidays.
  • Retirement savings plan with company match options.
  • Professional development opportunities and training assistance.
  • Flexible work arrangements and potential for remote work options.
Full Job Description
Job Description

Description

SAIC is seeking a AI/Ml SETA Systems Engineer to provide Systems Engineer Technical Advisor (SETA) services supporting the NRO's Ground Enterprise Directorate (GED) in Chantilly, VA

Note: All candidates must have an active TS/SCI clearance with Polygraph to be considered for this role.

As the AI/Ml SETA Systems Engineer, you will provide specialized technical and engineering expertise supporting the acquisition of software services reliant on artificial intelligence and machine learning (AI/ML). SAIC's client is tasked with leading the integration of mission focused tools to foster increased efficiency, automation and information sharing. You will also assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise.

Job Duties to include:
  • Provide data collection and analysis to enable transparency and explainability of AI/ML systems.
  • Provide technical and engineering support to the Government customer to manage machine learning analytics programs; apply knowledge and experience to develop and scale AI/ML models in multiple phenomenologies.
  • Provide software architecture and other technical expertise to support the planning of future systems and architectures, and oversight of development contractors.
  • Apply systems analysis and design methodology assessments to identify technical debt, architectural runway and efficiency trade-offs against current and proposed/desired cloud-based software system design.
  • Develop briefings and documentation material to illustrate features, capabilities and mission use cases for the computer vision tool portfolio, including developing technical roadmaps and the acquisition strategies/documentation to implement them.
  • Facilitate technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities for automated machine learning analytics.
  • You will work side-by-side with the other GED SETA staff comprised of world class System Engineers, Acquisition Engineers and Domain Experts to lead the customer in acquiring modern processing applications.

Qualifications

Required Education and Experience:
  • Bachelor's degree, or higher, in STEM related field of study such as Computer Programming, Information Systems, or similar with five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience. Relevant experience to be substituted in lieu of degree.
  • Active Top Secret/SCI Clearance with Polygraph.
  • 5 years of experience in SharePoint development, site customization, and workflow automation.
  • Demonstrated proficiency with HTML, CSS, JavaScript, jQuery, React, and REST APIs.
  • Familiarity with Power Automate, Power BI, and PowerShell scripting for automation and data management tasks.
  • Experience with Git based version control; exposure to DevSecOps aligned digital engineering toolchains
  • Strong engineering background with knowledge of software architectures and machine learning approaches.
  • Experience with ontologies, training dataset generation, model evaluation and validation, and responsible AI practices.
  • Domain knowledge in Agile software development practices (Scrum, SAFe) and cloud computing architectures with experience monitoring software development progress via agile metrics, identifying risks, discrepancies, and performance issues.
  • Relevant certifications may include Tableau Certified Data Analyst, or equivalent.
  • Demonstrated high level of initiative, creative problem-solving, and critical thinking.
  • Demonstrated capability and success working in team environments.
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high-tempo environment.
  • Good working knowledge of MS Office applications.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Overview

SAIC accepts applications on an ongoing basis and there is no deadline.

About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ

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