AI/ML Solutions Architect
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Job Description
AI/ML Solutions Architect shaping Databricks-based AI/ML architecture for Redhorse’s U.S. defense missions. Advancing aircraft maintenance, fleet availability, and military readiness across USAF and Army programs.
Responsibilities:
- Define technical architecture and execution guidance for AI/ML initiatives across USAF and Army programs
- Manage cross-team dependencies and align specialized engineering teams across a matrixed organization
- Translate high-level mission goals into engineering execution
- Make tradeoff decisions in complex environments to move projects from concept to operations
- Develop technical leaders and improve team decision quality
- Connect technical output to mission outcomes, optimizing fleet maintenance and asset availability
- Serve as the senior technical resource for CBM+ and Predictive Logistics initiatives supporting the USAF and U.S. Army
- Move AI-enabled work from concept to operational delivery
- Build technical trust with stakeholders and collaborate with domain SMEs and mission-driven data professionals
Requirements:
- An active Secret security clearance is mandatory; applicants must currently possess an active Secret clearance
- 10+ years of experience in technical leadership, software engineering, or data architecture, with a focus on AI/ML systems
- Proven ability to architect and oversee complex data and ML workflows within the Databricks environment
- Proven ability to lead through influence, driving consensus and technical excellence across teams
- Track record of making high-stakes tradeoff decisions balancing technical excellence with mission timelines
- Exceptional ability to communicate technical constraints, risks, and opportunities to technical teams and high-level government stakeholders
- Familiarity with the CDAO’s War Data Platform (WDP) technology stack, formerly known as Advana, and/or the BLADE environment (highly preferred)
- Background in military logistics, CBM+, or Department of Defense sustainment operations (highly preferred)
- Master’s or PhD in Computer Science, AI/ML, or a related quantitative field (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
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