Lead AI Architect - OBIQUA

Celestar Corp
  • Reston, VA
    30+ days ago

    Job Description

    Celestar Corporation is seeking a Lead AI Architect to support the Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.

    ANTICIPATED AWARD: October 2026

    ANTICIPATED START: October 2026

    PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years

    LOCATION: DIA Facilities across the National Capital Region (NCR)

    CLEARANCE REQUIREMENT: Active TS/SCI with a Current CI Poly (adjudicated within the last 5 years)

    About Us:

    Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.

    Responsibilities:

    This opportunity supports DIA''''s Object Based Intelligence and Quality Assurance (OBIQUA) initiative focused on advancing intelligence analysis through Agile program management, AI assurance, analytic innovation, and ontology development.

    • The Lead AI Architect is responsible for leading the design, development, Testing, Evaluation, Verification, and Validation (TEVV), and operationalization of all AI algorithms and models.
    • Provide technical leadership for AI, machine learning, and advanced analytics initiatives supporting DIA analytic modernization efforts.
    • Develop AI architectures, frameworks, and implementation strategies aligned with mission requirements.
    • Oversee AI model lifecycle management, performance evaluation, and operational deployment.
    • Collaborate with Government stakeholders, data scientists, engineers, and technical teams to ensure successful implementation of AI capabilities.
    • Establish AI governance, quality assurance, and risk management processes.
    • Support integration of AI solutions into intelligence analysis workflows and enterprise systems.
    • Provide technical guidance on emerging AI technologies, best practices, and innovation initiatives.

    Required Qualifications:

    • An advanced degree in Computer Science, Data Science, or a related field.
    • Demonstrated experience leading AI implementation projects
    • Desired Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
    • Desired Education: Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor's degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree

    Come on board with a company that Values its Employees!

    Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.

    Numbers & Facts

    LocationReston, VA

    Skills

    • Adjudicationunmatched
    • Agile Programming Methodologiesunmatched
    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Best Practicesunmatched
    • Computer Scienceunmatched
    • Data Scienceunmatched
    • Defense Intelligence Agency (DIA)unmatched
    • Emerging Technologyunmatched
    • Governmentunmatched
    • Intelligence Analysisunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Medical Conditionsunmatched
    • Ontologyunmatched
    • Operational Auditunmatched
    • Performance Analysisunmatched
    • Performance Reviewsunmatched
    • Project/Program Managementunmatched
    • Quality Assuranceunmatched
    • Risk Managementunmatched
    • Sensitive Compartmented Information (SCI)unmatched
    • Technical Leadershipunmatched
    • Test Plan/Scheduleunmatched
    • Top Secret Clearanceunmatched
    • Validation Testingunmatched
    • Workflow Analysisunmatched

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