SAIC

AI Machine Learning Technical Project Manager

SAIC$160K — $200K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field with 14 years of experience or a master's degree with 12 years of experience.
  • Must be a U.S. Citizen.
  • Active TS/SCI Clearance is required.
  • 3+ years of experience coordinating tasks and managing backlogs in technical settings like IT or engineering.
  • Basic understanding of secure systems and the Risk Management Framework/Authority to Operate accreditation process.
  • Practical experience with Python and AI/ML solution architecture.

Responsibilities

  • Act as the primary interface and task manager with external program teams.
  • Gather, organize, and prioritize incoming program requests into a cohesive backlog.
  • Manage timelines and ensure deliverables meet business growth goals.
  • Guide the Risk Management Framework and Authority to Operate processes for AI/ML prototypes.
  • Compile necessary documentation for software accreditation with security stakeholders.
  • Support collaboration with developers for testing and refining experimental models.
  • Work with IT and security teams to maintain secure workspaces and labs.

Benefits

  • Hybrid work model with flexibility between remote and in-office work.
  • Opportunity to work on cutting-edge AI/ML technologies.
  • Engagement with multiple key Intelligence Community programs.
  • Professional growth opportunities within a mission-focused environment.
Full Job Description
Job Description

Description

We are seeking an experienced and mission-focused Technical Program Manager (PM) to lead, coordinate, and accelerate the delivery of cutting-edge AI/ML and secure cloud concepts and solutions across several key IC programs. This is a Hybrid role and are open to candidates in Chantilly VA or NOVA. Candidates must have an active TS/SCI Clearance. Your primary mission is twofold:
  • Programmatic Execution: Serve as the primary programmatic liaison and task manager interfacing with the various external program teams that our matrixed team supports. Your mission is to collect incoming program requests, manage intermixed timelines, and coordinate deliverables for execution and business growth.
  • Accreditation Leadership: Drive the Risk Management Framework (RMF) and Authority to Operate (ATO) processes to transition AI/ML prototypes into operational high-side environments.


  • 1. Inter-Program Liaison & Task Management (40%)
    • Act as the Central Interface: Serve as the primary point of contact for the various program leads we support. Build strong relationships with these stakeholders to understand their unique deliverables, timelines, and technical expectations.
    • Triage & Manage the Backlog: Gather, organize, and prioritize task requests from different programs into a single, cohesive team backlog. Coordinate schedules to prevent conflicts and ensure realistic milestones.

    2. Security Compliance & Accreditation Coordination (30%)
    • Guide the ATO Process: Partner with our security stakeholders to navigate the Risk Management Framework (RMF / ICD 503) and compile the necessary documentation (such as System Security Plans) to get our software accredited.
    • Act as Compliance Liaison: Support interfacing with Government Security Officers (ISSOs/ISSMs), translating technical features into compliance solutions as necessary.
    • Secure Developer Environments: Work hand-in-hand with internal Corporate IT, facilities, and security groups to set up, upgrade, and maintain the secure workspaces, labs, and closed areas our team needs.
    • Support Tech Execution: Assist developers in testing, refining, and documenting experimental code and models.
    • Technical Architecture Development: Collaborate with our core AI/ML Developer to help architect, research and design rapid, high-fidelity proof-of-concept demos.

    3. Developer Support (30%)
    • Support Tech Execution: Assist developers in testing, refining, and documenting experimental code and models.
    • Technical Architecture Development: Collaborate with our core AI/ML Developer to help architect, research and design rapid, high-fidelity proof-of-concept demos.

    Qualifications
    • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline with 14 years of experience or master's degree with 12 years of experience.
    • Candidates must be U.S. Citizens
    • Active TS/SCI Clearance
    • Task Coordination & Liaison Skills: 3+ years of experience coordinating tasks, managing backlogs, or acting as a liaison between teams in a technical setting (e.g., IT, software, or engineering environments)
    • Familiarity with Government Accreditation Process: Basic understanding or working familiarity with secure systems, security plans, or the accreditation process (RMF/ATO) in government environments.
    • AI/ML Architect: Practical experience writing basic Python code and providing support to architect/whiteboard solutions for complex problems.
    Preferred Qualifications
    • Experience deploying systems in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
    • Familiarity with IC missions

    Target salary range: $160,001 - $200,000. 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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