Jobs · Management · Virginia

GeoAI Engineer -Active TS (SCI and CI/Poly Eligible)

Vibrint · Reston, VA · 2 wk ago
ManagementFull-time

About the role

Vibrint is seeking an innovative GIS Automation / AI Subject Matter Expert (SME) to support the Government Program Management Office (GPMO) and senior Agency leadership in advancing geospatial automation and GeoAI capabilities. This SME acts as a high-impact force multiplier, identifying opportunities to reduce manual workloads, accelerate production timelines, and introduce advanced analytics that enhance mission effectiveness. Given its limited allocation, this role focuses on targeted, high-value solutions, not routine sustainment.

Responsibilities

  • Develop Python or FME-based ETL pipelines for automated ingestion, cleaning, transformation, and scheduled processing of geospatial data.
  • Research, prototype, and deploy machine-learning and GeoAI models, including object detection, feature extraction, and predictive analytics tailored to mission use cases.
  • Identify workflow bottlenecks and design streamlined automation tools.
  • Assist developers with complex spatial algorithms such as routing, suitability modeling, classification, or spatial optimization.
  • Advise the architect and GPMO on emerging AI frameworks, libraries, and best practices.
  • Work directly with customers and Senior Leadership to demonstrate new technologies, produce proofs of concept, and guide the adoption of advanced automation and AI methods across the enterprise.
  • Deliver automated ETL scripts, trained GeoAI models, workflow documentation, and prototypes supporting innovation for Source Leadership.

Requirements

  • 5+ years of experience in GIS automation, geospatial analysis, machine learning, or GeoAI development.
  • Proficient in Python, including common geospatial and ML libraries (ArcPy, GeoPandas, PyTorch, TensorFlow, Scikit-learn, Rasterio).
  • Experience building FME workbenches for ETL automation, data transformation, and scheduled workflows.
  • Demonstrated ability to design and automate geospatial workflows, including data ingestion, cleaning, processing, and validation.
  • Experience prototyping and training machine-learning models, including object detection, classification, clustering, or predictive analytics.
  • Understanding of complex spatial concepts (e.g., topology, routing, suitability modeling, projections, network analysis).
  • Ability to produce clear workflow documentation, proofs of concept, and demos for technical and non-technical audiences.
  • Active TS/SCI and ability to obtain/maintain CI Poly.

Qualifications

  • Automation & Scripting Expertise: Proven ability to design, build, and optimize automated geospatial workflows using Python, FME, or equivalent tools, reducing manual processing and improving production timelines.
  • GeoAI & Machine-Learning Proficiency: Demonstrated experience developing prototypes and operational models for object detection, classification, predictive analytics, and other AI-driven mission capabilities.
  • Spatial Algorithm & Optimization Skills: Ability to translate advanced spatial concepts into workable logic for developers, including routing, suitability modeling, and spatial optimization.
  • Innovation & Leadership Engagement: Experience working directly with customers and senior leaders, producing proofs of concept, presenting emerging technologies, and guiding enterprise adoption of AI and automation.
  • Active Top Secret Clearance (SCI and CI/Poly Eligible).

Skills

  • Experience supporting NSG/ASG, IC, or DoD GEOINT missions.
  • Familiarity with ArcGIS Enterprise, ModelBuilder, OGC services, and integration of automated scripts into enterprise GIS systems.
  • Experience developing containerized ML models or deploying GeoAI capabilities in cloud environments (AWS preferred).
  • Knowledge of MLOps, automated model retraining pipelines, or data versioning for ML workflows.
  • Experience applying AI to imagery, 3D data, LiDAR, feature extraction, or multi-sensor analytics.
  • Esri, FME, or AI/ML-related certifications.

Benefits

  • Competitive salary.
  • Annual merit-based salary increases and discretionary bonus program.
  • 401(k) plan with a company contribution.
  • 11 paid federal holidays.
  • 160 hours of paid time off.
  • Medical, dental, vision, life, and short- & long-term disability insurance.
  • Employee assistance program.
  • Generous professional development allowance.

Similar jobs