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Arcfield Logo Arcfield · IT - Software Development

Mission Optimization AI/ML Engineer

United States, Chantilly · Job Posted March 25, 2026
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Job Description

Arcfield is seeking a dynamic, mission-focused engineer to direct projects aimed at AI/ML adoption to spearhead the optimization, and deployment of machine learning capabilities tailored for complex systems analysis. This individual will be a trusted advisor, guiding AI/ML strategy to ensure alignment with our customer's priorities while assessing industry approaches for cost-efficiency and technical viability. The candidate should also have experience being a subject matter expert (SME) in their field, providing clear guidance and support to stakeholders.

Job Responsibility

  • Lead AI/ML innovation initiatives focused on predictive modeling, automation, and advanced data analysis
  • Direct the prototyping of deep learning applications for computer vision, sensor intelligence, and anomaly detection
  • Serve as a subject matter expert, offering technical and strategic advice to internal teams and external stakeholders
  • Continuously evaluate emerging AI/ML advancements to identify transformative opportunities for operational efficiency and mission effectiveness
  • Oversee the optimization and deployment of scalable AI solutions across edge and cloud environments
  • Develop integration strategies for AI-driven analytics within enterprise systems for the purpose of enhancing customer’s mission effectiveness
  • Ensure strict compliance with security policies and data governance frameworks to uphold operational integrity

Requirements

  • Must possess and be able to maintain a TS/SCI with Poly
  • Bachelor's degree with 12-15 years total professional experience in a relevant field such as AI/ML, Data Science, Engineering, or Systems Analysis (or Master's degree with 10-13 years or PhD with 10+ years)
  • Minimum of eight (8) years of experience guiding AI/ML strategy and implementation in complex operational environments
  • Deep expertise in AI/ML frameworks, including TensorFlow, PyTorch, and Scikit-learn
  • Strong leadership in managing AI-driven initiatives and cross-functional collaboration
  • Experience driving the adoption of cloud-based AI solutions (AWS, Azure, or Google Cloud) for mission-critical applications
  • Proven ability to assess, develop, and optimize AI models for real-time and large-scale data operations

Nice to have

  • Advanced degree (MS or PhD) in AI/ML, Data Science, Engineering, or a related technical domain
  • Experience in applying AI/ML to defense, cybersecurity, or mission-critical operations
  • Expertise in data engineering, feature engineering, and model deployment strategies
  • Familiarity with automated machine learning (AutoML) techniques
  • Professional AI/ML certifications such as Microsoft Certified AI Engineer Associate or AWS Machine Learning Specialty
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