Forward Deployed Senior Data Scientist

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AirDefense Tech, AI
Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States; RemoteFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
Artificial IntelligenceCloud ComputingMachine LearningSoftware ArchitectureData scienceLLMMLOps

Requirements

  • Must be a U.S. citizen.
  • Strong command of data science fundamentals and AI expertise.
  • Experience in defining software architecture for AI systems and project roadmaps.
  • Ability to translate high-level AI system requirements into actionable technical plans.
  • Experience delivering production-ready AI solutions integrated with data platforms and workflows.
  • Demonstrated National Security domain knowledge.
  • Proven ability to work independently and manage full lifecycles of AI projects.
  • Experience with AI coding tools (e.g., Claude Code) to scale team deliveries.
  • Strong oral and written communication skills for technical and non-technical audiences.
  • Ability to travel up to 50%.

Responsibilities

  • Develop AI/ML/DS systems to address defense problems.
  • Develop new AI-based stack of technologies for particular customer needs.
  • Development of evaluation solutions for AI deployments.
  • Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery.
  • Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems.
  • Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions.
  • Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.
  • Champion the introduction of new AI innovations, including Large Language Models (LLMs) and agentic systems.
  • Mentor and guide other team members, fostering a culture of technical excellence, continuous learning, and high-impact work.
  • Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.
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