AI/ML Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the technical architecture and provide execution guidance for AI/ML initiatives across USAF and Army programs.

• Manage inter-team dependencies and synchronize specialized engineering teams within a matrixed organization.

• Transform high-level mission objectives into actionable engineering tasks.

• Make informed tradeoff decisions in complex environments to advance projects from concept to operational stages.

• Cultivate technical leadership and enhance the quality of team decision-making.

• Link technical output to mission results, optimizing fleet maintenance and asset availability.

• Act as the principal technical resource for CBM+ and Predictive Logistics projects that support the USAF and U.S. Army.

• Transition AI-enabled initiatives from concept development to operational execution.

• Establish technical trust with stakeholders and collaborate with domain subject matter experts and mission-focused data professionals.

⛳️ Requirements

• An active Secret security clearance is required; candidates must currently hold an active Secret clearance.

• Over 10 years of experience in technical leadership, software engineering, or data architecture, particularly in AI/ML systems.

• Demonstrated capability to architect and manage intricate data and ML workflows within the Databricks environment.

• Proven ability to lead through influence, fostering consensus and driving technical excellence across teams.

• A strong history of making high-stakes tradeoff decisions that balance technical quality with mission timelines.

• Exceptional communication skills to convey technical constraints, risks, and opportunities to both technical teams and high-level government stakeholders.

• Familiarity with the CDAO’s War Data Platform (WDP) technology stack, previously known as Advana, and/or the BLADE environment is highly preferred.

• Experience in military logistics, CBM+, or Department of Defense sustainment operations is highly preferred.

• A Master’s or PhD in Computer Science, AI/ML, or a related quantitative field is highly preferred.

🏝️ Benefits

• Comprehensive benefits programs.

• Performance-based or other incentive compensation, where applicable.

• Equal opportunity employment.

• Reasonable accommodations for qualified individuals with disabilities and disabled veterans.