Poly)

Vibrint•Springfield, VA

12h

About The Position

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 include developing Python or FME-based ETL pipelines for automated ingestion, cleaning, transformation, and scheduled processing of geospatial data. The SME will also research, prototype, and deploy machine-learning and GeoAI models, including object detection, feature extraction, and predictive analytics tailored to mission use cases. The Automation/AI SME identifies workflow bottlenecks and designs streamlined automation tools, assists developers with complex spatial algorithms such as routing, suitability modeling, classification, or spatial optimization, and advises the architect and GPMO on emerging AI frameworks, libraries, and best practices. This position is hands-on, working 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. Key deliverables include 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.

Nice To Haves

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.

Responsibilities

Developing Python or FME-based ETL pipelines for automated ingestion, cleaning, transformation, and scheduled processing of geospatial data.
Researching, prototyping, and deploying machine-learning and GeoAI models, including object detection, feature extraction, and predictive analytics tailored to mission use cases.
Identifying workflow bottlenecks and designing streamlined automation tools.
Assisting developers with complex spatial algorithms such as routing, suitability modeling, classification, or spatial optimization.
Advising the architect and GPMO on emerging AI frameworks, libraries, and best practices.
Working 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.
Producing automated ETL scripts, trained GeoAI models, workflow documentation, and prototypes supporting innovation for Source Leadership.