AI/ML Solutions Architect
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Job Description
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About the Role
Redhorse is seeking a high-leverage AI/ML Solutions Architect to serve as the senior technical resource for major Condition Based Maintenance Plus (CBM+) and Predictive Logistics initiatives supporting both the United States Air Force (USAF) and U.S. Army.
This role sits at the critical intersection of technical architecture, cross-functional program orchestration, and mission delivery. You will move complex AI-enabled work from concept to operational delivery, ensuring that technical execution remains tightly coupled with mission outcomes. As a senior leader, you will operate with high autonomy in a collaborative environment alongside top-tier domain subject matter experts (SMEs) and mission-driven data professionals.
Your success will be measured by your ability to multiply the impact of our team-of-teams through technical influence and strategic alignment, while building enduring technical trust with our stakeholders. You are a translator, a de-risker, and a mentor who improves decision quality and increases throughput across the organization. This is a unique opportunity to apply cutting-edge AI/ML solutions to high-stakes challenges, directly impacting aircraft availability and military readiness across the Department of Defense.
Responsibilities
In this role you'll get to...
- Shape Strategic Direction: Define the technical architecture and execution guidance for AI/ML initiatives across USAF and Army programs.
- Orchestrate Execution: Manage cross-team dependencies and align specialized engineering teams across a matrixed organization to ensure cohesive delivery.
- Bridge the Gap: Act as the primary translator between high-level mission goals and engineering reality.
- Reduce Ambiguity: Make sound tradeoff decisions in complex environments to keep projects moving from concept to operations.
- Lead & Mentor: Develop the next generation of technical leaders and improve decision quality across the team.
- Ensure Operational Impact: Connect technical output directly to mission outcomes, specifically optimizing fleet maintenance and asset availability.
Required Skills/Education
On day one we'll expect...
- An active Secret security clearance is mandatory for this position. Applicants must currently possess an active Secret clearance to be considered. Candidates without an active clearance will not be considered.
- 10+ years of experience in technical leadership, software engineering, or data architecture, with a focus on AI/ML systems.
- Expertise in Databricks: Proven ability to architect and oversee complex data and ML workflows within the Databricks environment.
- Technical Orchestration: Proven ability to lead through influence, driving consensus and technical excellence across teams.
- Strategic Decision Making: A track record of making high-stakes tradeoff decisions that balance technical excellence with mission timelines.
- Consultative Communication: Exceptional ability to communicate technical constraints, risks, and opportunities to both technical teams and high-level government stakeholders.
Preferred Skills/Education
Highly preferred if you have...
- Advana/WDP BLADE Experience: Familiarity with the CDAO’s War Data Platform (WDP) technology stack, formerly known as Advana, and/or the BLADE environment.
- DoD Mission Context: Background in military logistics, CBM+, or Department of Defense sustainment operations.
- Advanced Degree: Master’s or PhD in Computer Science, AI/ML, or a related quantitative field.
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Redhorse Corporation
View Company ProfileRedhorse Corporation (operating under redhorsecorp.com, legally Redhorse Corporation) is the premier, enterprise-grade digital transformation, national security technology services, and tactical data engineering pioneer engineered to act as the definitive, high-velocity cloud systems modernization, military artificial intelligence integration, and critical infrastructure resilience layer for the U.S. Department of Defense (DoD), federal civilian agencies, intelligence communities, and global defense innovators. Founded in 2008 by visionary founder and USMC (Ret.) Col. David Inman—who named the firm in honor of the resilient U.S. Air Force REDHORSE engineering squadrons—the enterprise completely eliminates the severe systemic friction of modern government digital transformation, where federal agencies battle massive data fragmentation, legacy system bloat, and highly delayed intelligence analysis pipelines, by deploying agile, high-performance analytical frameworks. Moving far beyond traditional, slow-moving federal advisory firms or generic IT staff-augmentation agencies, Redhorse natively unifies multi-source data fusion, scalable predictive intelligence, cloud-agnostic platform development, and advanced cybersecurity operations into a single high-availability national security software and consulting ecosystem. Directed by Chief Executive Officer Noah Klemm, the company delivers mission-critical execution across high-stakes domains, securing major institutional positions including the elite Department of Defense Joint Artificial Intelligence Center (JAIC) and the massive AI Talent 2.0 Basic Ordering Agreement. Highlighting its category-defining market momentum, the high-growth government-tech powerhouse secured a transformative growth capital investment from defense sector specialist Blue Delta Capital Partners, accelerating its capabilities through the strategic acquisitions of Allied Associates International (A2I) and The Mannakee Group, alongside the launch of Redhorse International Ltd in the United Kingdom. Under the hood, its technology core utilizes advanced machine-learning pipelines, high-fidelity GIS and environmental telemetry modeling, and secure, military-grade data routing systems designed to automate real-time battlefield readiness, predictive asset maintenance, and critical utility sustainability with absolute national security clearance and operational compliance. What sets Redhorse Corporation apart is its uncompromising dedication to replacing fragmented, legacy government IT infrastructure with absolute data predictability, mission-critical execution agility, and field-ready analytical insight; by bridging the gap between performance-intensive relational software engineering and the immediate, multi-domain defense priorities of the nation, the enterprise remains the definitive cornerstone of modern algorithmic GovTech and global national security transformation.
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