Lead the architecture and delivery of AI/ML initiatives supporting U.S. Air Force and Army predictive logistics and condition-based maintenance programs. Coordinate engineering teams, translate mission needs into technical solutions, guide tradeoff decisions, mentor technical leaders, and ensure AI/ML systems improve fleet maintenance, aircraft availability, and military readiness. The role requires Databricks expertise, technical leadership, stakeholder communication, and an active Secret clearance.
About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
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 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
- 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.
In this role you'll get to ...
Required Skills/Education
- 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.
On day one we'll expect...
Preferred Skills/Education
- 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.
Highly preferred if you have...
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [email protected]
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
Similar Jobs
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Serve as a technical partner to sales and customer success teams, advising high-value customers on cloud infrastructure and AI/ML solutions. Responsibilities include architecture reviews, proofs of concept, demos, onboarding, technical workshops, infrastructure optimization, LLM deployment and fine-tuning, GPU workload optimization, AI application design, data pipeline and database integration, escalations, documentation, and development of tools for premium customers. Collaborate globally with Engineering, Product, Support, and account teams.
Top Skills:
Ai/MlAnsibleAWSAzureBashChefCi/CdCiscoCloud-Native DatabasesCoreosCudaData PipelinesDigitaloceanDockerFp8GCPGenerative AiGitGoHugging FaceInt4Int8JuniperKubernetesKvmLinuxLlmsManaged DbaasMongoDBMySQLNfsNvidia GpuObject StorageOracle CloudPostgresPuppetPythonPyTorchRedisRubySaltstackTensorFlowTensorrtTerraformVagrantVllmXen
Aerospace • Defense
Leads enterprise architecture for data, analytics, and AI/ML platforms. Defines cloud, Lakehouse, streaming, governance, integration, and machine-learning architecture standards; guides modernization, proof of concepts, platform scalability, security, and cost optimization. Partners with executives, product owners, cybersecurity, governance, and engineering teams while leading design reviews, architecture forums, and technical programs. Requires deep experience with Databricks, cloud-native data platforms, distributed systems, data governance, and enterprise-scale architecture.
Top Skills:
Api Integration ArchitecturesAWSAzureDatabricksDatabricks GraphElt/EtlFeature StoresGCPKobaiLakehouseMlflowNeo4JRagReal-Time Data StreamingSap S/4HanaSnowflakeVector Databases
.png)
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Design and deploy production ML/AI architectures on the Databricks platform, lead Generative AI (LLM, RAG, agent) implementations, optimize and scale MLOps pipelines, provide technical pre-sales support, and translate customer feedback into product improvements while mentoring peers and meeting delivery milestones.
Top Skills:
Agentic SystemsAi AgentsAWSAzureDatabricksDelta LakeFine-TuningGCPGenerative AiHugging FaceLakehouseLangchainLlmsMlopsModel MonitoringModel ServingModel TrackingObservability SystemsOpenai ApiRetrieval-Augmented Generation (Rag)Unity CatalogVector Databases
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
