AI & GIS Solutions Consultant

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and construct the Polygon and Geo-Targeting Agent, incorporating authoritative hazard geometry such as NWS warning polygons, wildfire perimeters, plume models, and jurisdictional GIS layers, while managing pre-drawn, jurisdiction-approved evacuation zones.

• Utilize Esri ArcGIS as the geospatial foundation, ensuring compatibility with the platform alerting vendors currently employ.

• Create deterministic geometry validation logic that identifies self-intersections, slivers, holes, and duplicate points.

• Develop and oversee authoritative alert geometry storage in both CAP and GeoJSON vector formats.

• Establish REST API endpoints for the geospatial agent, including /importGeometry, /validatePolygon, and /suggestGeoLanguage, adhering to the same vendor-agnostic, CAP-centric pattern as the co-pilot's message endpoints.

• Conduct overshoot/undershoot analysis that contrasts proposed polygons with hazard footprints, highlighting the over- vs. under-alerting tradeoff for alert originators prior to dispatch.

• Validate and test the agent using real geometry, integrating feedback from GIS practitioners and alert originators.

• Collaborate with the broader Warning Author agent architecture (MDD, Pre-Incident Template, CAP Validation, and Continuous Learning agents) to ensure consistent geospatial and message-drafting behavior.

• Implement prompt engineering and agentic/RAG techniques where the LLM formulates geo-targeted language (e.g., locally recognized streets, landmarks, and zone names).

• Set up secure, compliant cloud hosting (AWS government-compliant environment) with human-in-the-loop controls, data minimization, and audit logging in accordance with NIST AI RMF and NIST 800-53.

• Document system architecture, data models, geometry validation rules, and APIs; engage in stakeholder demos, technical reviews, and working groups.

• Fulfill our Commitments to Deliver, Grow, and Thrive.

⛳️ Requirements

• A bachelor's degree or higher in GIS, geography, geospatial engineering, computer science, data science, or a related discipline.

• At least five years of experience in geospatial software development, GIS analysis, or geospatial data engineering.

• Practical experience with Esri ArcGIS, including ArcGIS Pro, ArcGIS Online/Enterprise, ArcGIS Location Platform, and/or the ArcGIS API for Python or JavaScript.

• Familiarity with geospatial data standards and formats such as GeoJSON, Shapefile, vector polygon geometry, and topology validation (self-intersections, slivers, hole detection, polygon simplification).

• Proficiency in Python, JavaScript, and SQL; experience with at least one major cloud platform (preferably AWS, Azure, or GCP), including secure/government-compliant environments.

• Experience in designing and integrating REST APIs for geospatial or structured-data services.

• Some practical exposure to AI/ML or LLM-enabled solutions (prompt engineering plus retrieval-augmented generation or agentic workflows), sufficient to collaborate effectively with the AI/LLM engineering team.

• Capability to convert stakeholder and policy requirements (e.g., FCC WEA geo-targeting rules) into technical geospatial features and validation logic.

• Working knowledge of containerization (Docker), version control (Git), and CI/CD practices.

• Excellent analytical, documentation, and cross-functional communication skills.

• U.S. citizenship or permanent residency and the ability to obtain public trust clearance or suitability.

🏝️ Benefits

• 401k matching (4%).

• PTO (3 weeks to start, increasing to 4 weeks after 2-5 years, and 5 weeks after 5 years).

• Health, dental, and vision insurance.

• Short- and long-term disability coverage.

• Flexible Spending Accounts (FSA).

• 4 weeks of paid parental leave.

• 11 paid holidays, including your birthday off.

• Reimbursements for fitness and cell phone expenses.

• Monthly all-hands update meetings.

• Annual in-person all-hands team-building day and evening event.

• Regular check-ins to discuss professional growth objectives.

• Semi-monthly one-on-one performance manager meetings.

• A sociable team that organizes monthly events.

• Access to technology like Slack to maintain connection and collaboration.

• Overall, a company culture committed to fostering a highly engaged team.