Senior AI Project Manager

Modern Technology Solutions Inc•Springfield, VA

29d•$140,000 - $200,000•Onsite

About The Position

Modern Technology Solutions, Inc. (MTSI) is hiring a Senior AI Project Manager in Springfield, VA. Qualified candidates must be U.S. citizens with a TS/SCI clearance. This role serves as the lead Artificial Intelligence and Machine Learning (AI/ML) Subject Matter Expert (SME) for an Intelligence Community rapid acquisition organization, utilizing rapid acquisition pathways to integrate disruptive AI/ML technologies into the analytic enterprise architecture. The position provides programmatic support, advising Government leads on the technical assessment, rapid prototyping, and integration of vendor-proposed cutting-edge AI/ML capabilities. The Senior AI Project Manager will develop and manage program plans that directly support strategic objectives, including "Employ AI & Automation to speed analysis and production" and "Partner with industry to accelerate capability delivery." They will utilize rapid, agile acquisition strategies to streamline technology discovery, assessment, and experimentation with AI/ML solutions, and serve as the primary technical liaison between Government stakeholders, data science teams, and industry partners to ensure AI/ML solutions are effectively integrated into modernized analytic infrastructure and data pathways. The role involves translating agency and warfighter needs into actionable technical requirements for AI/ML systems, focusing on enabling multi-domain operations, and identifying, assessing, and mitigating risks associated with AI/ML model performance, data integrity, and operational deployment in a rapid fielding environment. The Senior AI Project Manager will also prepare and deliver senior-level briefings, technical roadmaps, and decision materials articulating the progress and strategic impact of AI at the Edge.

Requirements

Deep expertise in Artificial Intelligence and Machine Learning concepts and their application to real-world problems.
10+ years of experience supporting DoD or IC engineering, R&D, or rapid acquisition organizations.
Demonstrated success leading the integration of innovative, asymmetric, or disruptive technologies for national security missions.
Strong understanding of enterprise architecture, data pipelines, and the challenges of integrating new technologies into legacy systems.
Proven ability to utilize rapid prototyping, agile acquisition, or other non-traditional workflows.
Excellent communication skills, with the ability to bridge the gap between technical, operational, and strategic stakeholders.
Must be a US citizen with an active TS/SCI clearance with SAP eligibility

Nice To Haves

Advanced degree in Computer Science, Data Science, Engineering, or a related technical field.
Experience with multi-INT data sources and analysis.
Prior experience in a service RCO, DIU, SCO, or similar organization focused on accelerating technology adoption.
Background in systems engineering or operational testing of AI-enabled systems.
SAP experience is highly desired, but not required

Responsibilities

Serve as the lead Artificial Intelligence and Machine Learning (AI/ML) Subject Matter Expert (SME) for an Intelligence Community rapid acquisition organization.
Use rapid acquisition pathways to integrate disruptive AI/ML technologies into the analytic enterprise architecture.
Provide programmatic support advising Government leads on the technical assessment, rapid prototyping, and integration of vendor-proposed cutting-edge AI/ML capabilities.
Develop and manage program plans that directly support strategic objectives, including "Employ AI & Automation to speed analysis and production" and "Partner with industry to accelerate capability delivery."
Utilize rapid, agile acquisition strategies to streamline technology discovery, assessment, and experimentation with AI/ML solutions.
Serve as the primary technical liaison between Government stakeholders, data science teams, and industry partners to ensure AI/ML solutions are effectively integrated into modernized analytic infrastructure and data pathways.
Translate agency and warfighter needs into actionable technical requirements for AI/ML systems, focusing on enabling multi-domain operations.
Identify, assess, and mitigate risks associated with AI/ML model performance, data integrity, and operational deployment in a rapid fielding environment.
Prepare and deliver senior-level briefings, technical roadmaps, and decision materials articulating the progress and strategic impact of AI at the Edge.