Job Description
Now is a great time to join Redhorse Corporation.
Key Responsibilities
- Direct large-scale AI and data modernization initiatives from concept through operational deployment.
- Manage project execution across engineering, data science, platform, infrastructure, cybersecurity, and mission stakeholders.
- Coordinate technical roadmaps, milestones, risks, dependencies, and release planning across multiple integrated workstreams.
- 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.
- 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.
- 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.
- Develop executive-ready briefings, technical status reports, and decision materials.
- Communicate project 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.
- Lead Agile delivery ceremonies across multiple technical teams.
- Manage project schedules, resource planning, financial tracking, and technical documentation.
- Drive continuous improvement across delivery processes, engineering collaboration, and customer engagement.
Requirements
- 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
Ready to Apply?
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