Senior GeoAI & GIS Automation Engineer

Vibrint; Springfield (VA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

401(k) with company contribution

11 federal holidays

Paid time off

Medical, dental, vision insurance

Disability insurance

Employee assistance program

Professional development allowance

Job summary

Vibrint seeks an innovative GIS Automation / AI SME to support the Government Program Management Office in advancing geospatial automation and GeoAI capabilities. This SME acts as a high‑impact force multiplier, identifying opportunities to reduce manual workloads and accelerate production timelines.

Responsibilities include developing Python or FME‑based ETL pipelines for automated ingestion, cleaning, transformation, and processing of geospatial data.

Qualifications

• 5+ years in GIS automation, geospatial analysis, ML, or GeoAI.
• Proficiency in Python with geospatial/ML libraries.
• Experience building FME workbenches for ETL automation.
• Ability to design automated geospatial workflows end-to-end.
• Experience prototyping/training ML models (object detection, classification, predictive analytics).
• Understanding of topology, routing, projections and network analysis.
• Ability to document workflows and deliver demos for diverse audiences.
• Active TS/SCI clearance or ability to obtain CI Poly.

Responsibilities

• Develop Python or FME-based ETL pipelines for geospatial data.
• Prototype and deploy GeoAI models tailored to mission use cases.
• Identify bottlenecks and design automation tools for senior leadership.
• Assist architects and GPMO on AI frameworks and best practices.
• Demonstrate new technologies with proofs of concept and demos.

Skills

GIS automation

Geospatial analysis

Python

FME

ML / GeoAI

ETL pipelines

Spatial algorithms

Documentation

Clearance TS/SCI

Tools

ArcPy

GeoPandas

PyTorch

TensorFlow

Rasterio

Job description

Vibrint seeks an innovative GIS Automation / AI SME to support the Government Program Management Office in advancing geospatial automation and GeoAI capabilities. This SME acts as a high‑impact force multiplier, identifying opportunities to reduce manual workloads and accelerate production timelines.

Responsibilities include developing Python or FME‑based ETL pipelines for automated ingestion, cleaning, transformation, and processing of geospatial data.