AI Enterprise Technical Program Manager

Redhorse Corporation•Arlington, VA

18h•$150,000 - $190,000

About The Position

Redhorse Corporation is seeking an exceptional AI Enterprise Technical Program Manager (TPM) to help lead the execution of next-generation AI capabilities supporting the Department of Defense. This role sits at the intersection of engineering, mission operations, and executive leadership, ensuring highly technical programs deliver measurable operational outcomes. Redhorse transforms the way government uses data and technology. To support this mission, we are seeking an AI Enterprise Technical Program Manager to lead the execution of next-generation AI and graph analytics capabilities for the Department of Defense. This role sits at the critical intersection of engineering, mission operations, and executive leadership. You will be responsible for transforming strategic national security objectives into scalable, operational AI solutions that enable analysts and decision-makers to move faster and operate with greater confidence.

Requirements

Active Top Secret (TS) clearance with SCI eligibility.
8+ years of experience leading complex technical programs supporting the Department of Defense (DoD) or Intelligence Community (IC).
Demonstrated experience managing enterprise software development or AI/ML initiatives.
Proven track record of coordinating cross-functional engineering teams delivering modern, cloud-based solutions.
Strong proficiency in Agile software development methodologies and lifecycle management.
Excellent communication skills with the ability to bridge the gap between technical engineering teams and executive-level stakeholders.
Bachelorâ€™s degree in Engineering, Computer Science, Information Systems, or a related technical discipline.

Nice To Haves

Familiarity with AI/ML platforms and Large Language Models (LLMs).
Experience with Knowledge Graphs, Graph Analytics, or Neo4j database technologies.
Hands-on exposure to Data engineering, ETL pipelines, and Big Data tools like Spark or Databricks.
Experience with Cloud platforms (AWS, Azure, or Google Cloud) and containerization (Kubernetes/Docker).
Understanding of DevSecOps, CI/CD pipelines, and Zero Trust architectures.
Knowledge of Human-Centered Design (HCD) methodologies.
Experience with mission command, intelligence, or operational decision support systems within the DoD.

Responsibilities

Lead Technical Program Execution: Direct large-scale AI and data modernization initiatives from concept through operational deployment. Manage program execution across engineering, data science, platform, infrastructure, cybersecurity, and mission stakeholders. Coordinate technical roadmaps, milestones, risks, dependencies, and release planning across multiple integrated workstreams.
Drive AI and Data Modernization: Support the design and deployment of enterprise AI capabilities leveraging modern data architectures, knowledge graphs, machine learning, and large language models. Coordinate delivery of scalable AI platforms that support secure experimentation, model deployment, and operational workflows. Ensure solutions align with DoD architecture standards, cybersecurity requirements, and mission objectives.
Bridge Mission and Engineering: Partner directly with operational users to translate mission needs into prioritized technical requirements. Facilitate user discovery sessions, technical planning workshops, backlog refinement, and iterative solution delivery. Help engineering teams understand mission context while helping mission users understand technical tradeoffs.
Technical Leadership: Coordinate integration efforts across cloud environments, APIs, enterprise applications, data pipelines, and AI platforms. Track technical debt, architectural risks, integration challenges, and delivery dependencies. Collaborate closely with Solution Architects and Technical Leads to ensure scalable, maintainable solutions.
Executive Engagement: Develop executive-ready briefings, technical status reports, and decision materials. Communicate program health, technical risks, schedule impacts, and mitigation strategies to senior government and corporate leadership. Build trusted relationships across government customers, industry partners, and internal delivery teams.
Delivery Excellence: Lead Agile delivery ceremonies across multiple technical teams. Manage program schedules, resource planning, financial tracking, and technical documentation. Drive continuous improvement across delivery processes, engineering collaboration, and customer engagement.