Noblis

Artificial Intelligence IV (Collective Portfolio)

Noblis$132K — $207K *
Technical Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • US Citizenship required
  • Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and CI Polygraph
  • Bachelor's Degree with 8+ years of experience
  • Progressive experience across multiple AI disciplines, particularly geospatial, financial, and entity resolution
  • Expertise in machine learning and deep learning applied to imagery and video data analysis
  • Proven experience in embedding within project teams for defined periods
  • Ability to facilitate knowledge transfer during transitions.

Responsibilities

  • Process and analyze imagery and video using advanced AI techniques
  • Implement object detection and OCR to gather actionable insights
  • Ingest and analyze satellite imagery and mapping data for location insights
  • Support geospatial intelligence with AI-driven spatial analytics
  • Conduct time-series analytics and detect anomalous financial activities
  • Extract and consolidate entities from large datasets
  • Integrate AI outputs with Attribute-Based Access Control (ABAC) systems.

Benefits

  • Health, life, and disability insurance
  • Financial and retirement benefits
  • Paid leave and professional development opportunities
  • Tuition assistance
  • Work-life balance programs
  • Recognition programs for exceptional performance.
Full Job Description
Responsibilities

Noblis is looking for an AI Specialist (Collective Portfolio) IV to support our customer in Chantilly, VA.

In this role, you will serve as a flexible, senior AI expert who embeds within project teams for defined periods (typically 2-6 months) to deliver specialized AI capabilities during critical milestones. You bring deep expertise across multiple AI disciplines - computer vision, geospatial analysis, financial analysis, and entity resolution - and rotate across projects as needs shift. You'll partner with engineering teams to build production-ready AI solutions, ensure ethical data practices, and maintain continuity through documentation and knowledge transfer.

Key Responsibilities
  • Process and analyze imagery, video, and visual patterns using machine learning and deep learning techniques.
  • Implement object detection, optical character recognition (OCR), and scene understanding to extract actionable intelligence from visual data.
  • Ingest satellite imagery, mapping data, GPS signals, and cartographic information to produce location-based insights.
  • Apply AI-driven spatial analytics to support geospatial intelligence requirements across operational environments.
  • Apply time-series analytics, large-scale financial transaction processing, forensic accounting principles, and statistical modeling to uncover hidden patterns in datasets.
  • Detect anomalous financial activity and support investigative workflows.
  • Extract and resolve entities across large, disparate datasets to produce consolidated entity lists with full information lineage.
  • Enable user-driven merge and split functionality and integrate with Attribute-Based Access Control (ABAC) systems.

Required Qualifications

  • US Citizenship is required
  • Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and ability to obtain a Counterintelligence (CI) Polygraph.
  • Bachelor's Degree with a minimum of 8 years of experience
  • Prrogressive experience across multiple artificial intelligence disciplines (including geo-spatial, financial and entity resolution), with demonstrated ability to serve as a cross-functional technical asset deployed to support critical project milestones across fluctuating domain requirements.
  • Experience processing and analyzing imagery, video, and visual patterns via machine learning and deep learning, including object detection, optical character recognition (OCR), and scene understanding.
  • Demonstrated ability to embed deeply within specific project phases for defined durations (and operate under a standard 30-day operational notice window for personnel rotations or project surges.
  • Proven ability to facilitate seamless knowledge transfer during personnel rotations or project surges, ensuring continuity of operations across team transitions.

Desired Qualifications

  • Active TS/SCI CI Polygraph
  • Master's degree or PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field.
  • Experience operating across multiple intelligence or defense domains simultaneously, with the ability to rapidly context-switch between disparate mission sets.
  • Experience supporting U.S. Government, Department of Defense, or Intelligence Community programs with familiarity navigating classified environments, agency reporting structures, and funding constraints.
  • Hands-on proficiency with frameworks such as TensorFlow, PyTorch, or equivalent for building and deploying production-grade AI models.
  • Experience deploying AI solutions on government-approved cloud platforms (such as AWS GovCloud, Azure Government, or equivalent).
  • Experience integrating AI outputs into Attribute-Based Access Control (ABAC) systems and understanding of security architecture principles for classified environments.

#UpcomingJobOpportunity

Overview

Overview

Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation's toughest challenges, delivering advanced solutions to our customers' most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.

We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org

Remote/hybrid status is subject to change based on Noblis and/or government requirements.

Total Rewards

At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.

Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.

Posted Salary Range

USD $132,900.00 - USD $207,750.00 /Yr.

About Noblis

Noblis is an American not-for-profit science, technology, and strategy organization that provides technical and advisory services to federal government clients. Noblis works in the areas of national security, intelligence, transportation, healthcare, environmental sustainability, and enterprise transformation. Noblis was created in 1996 when Mitretek Systems Inc. was split into two separate entities. The other entity became known as Noblis ESI. Noblis has been recognized as one of the best places to work in the Washington, D.C. area by the Washington Business Journal and the Washingtonian.
Learn more about Noblis
Size
1,500 employees
Industry
Founded
1996

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