Agentic AI & GIS Solutions Consultant

Corner Alliance•Washington, DC

4d•Hybrid

About The Position

This role is contingent upon award. Corner Alliance is a dynamic, growing consulting firm that devotes itself to providing an enriching employee experience while working in meaningful ways to create results for the government. We are currently seeking an Agentic AI & GIS Solutions Consultant with 5+ years of experience to join our team and fully embrace our commitment to deliver, grow and thrive. You will help alert originators build, validate, and phrase alert areas with the same speed and rigor the co-pilot brings to message text, while keeping all geometry computation deterministic and human-approved. As an Agentic AI & GIS Solutions Consultant supporting our Federal government client, you will be trusted to design, build, and integrate the geospatial components of an agentic AI system — combining Esri ArcGIS-based geospatial engineering with LLM orchestration, structured data workflows, and secure API design. You will work alongside emergency alerting SMEs, project leadership, and client stakeholders to ensure alert-area geometry is authoritative, standards-compliant, and clearly communicated.

Requirements

Bachelor's degree or higher in GIS, geography, geospatial engineering, computer science, data science, or a related field
Five or more years of experience in geospatial software development, GIS analysis, or geospatial data engineering
Hands-on experience with Esri ArcGIS (ArcGIS Pro, ArcGIS Online/Enterprise, ArcGIS Location Platform, and/or the ArcGIS API for Python or JavaScript)
Working knowledge of geospatial data standards and formats: GeoJSON, Shapefile, vector polygon geometry, and topology validation (self-intersections, slivers, hole detection, polygon simplification)
Proficiency with Python, JavaScript, and SQL; experience with at least one major cloud platform (AWS preferred, Azure, or GCP), including secure/government-compliant environments
Experience designing and integrating REST APIs for geospatial or structured-data services
Some hands-on exposure to AI/ML or LLM-enabled solutions (prompt engineering plus retrieval-augmented generation or agentic workflows), sufficient to collaborate closely with the AI/LLM engineering team
Ability to translate 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
Strong analytical, documentation, and cross-functional communication skills
US citizenship or permanent resident and the ability to pass public trust clearance or suitability

Nice To Haves

Experience with emergency alerting, public safety communications, or IPAWS/CAP (Common Alerting Protocol) data
Familiarity with NWS warning polygons, wildfire perimeter data, plume models, or the OpenFEMA historical alert archive
Esri certification(s), or experience integrating ArcGIS with third-party alerting or emergency management platforms (e.g., Everbridge, Genasys)
Experience applying AI risk management frameworks such as the NIST AI RMF, security controls, audit logging, or human-in-the-loop governance
Familiarity with federal AI policy guidance such as OMB M-24-10 or successor memoranda
Experience with FedRAMP-authorized cloud environments
Experience with accessibility, Section 508, or access and functional needs (AFN) considerations in public-facing systems
Coachability, unflappability in navigating challenges, resourcefulness in learning new skills, innovation in challenging the status quo, excellent writing, analytical thinking, skilled prioritization, and rapport building with clients and colleagues.

Responsibilities

Architect and build the Polygon and Geo-Targeting Agent, importing authoritative hazard geometry — NWS warning polygons, wildfire perimeters, plume models, and jurisdictional GIS layers — and managing pre-drawn, jurisdiction-vetted evacuation zones
Build on Esri ArcGIS as the geospatial foundation, consistent with the platform alerting vendors already build on
Develop deterministic geometry validation logic detecting self-intersections, slivers, holes, and duplicate points
Design and maintain authoritative alert geometry storage in CAP and GeoJSON vector form
Develop REST API endpoints for the geospatial agent, including /importGeometry, /validatePolygon, and /suggestGeoLanguage, following the same vendor-agnostic, CAP-centric pattern as the co-pilot's message endpoints
Build overshoot/undershoot analysis that compares proposed polygons to hazard footprints and surfaces the over- vs. under-alerting tradeoff to alert originators before send
Ground and test the agent against real geometry and incorporate feedback from GIS practitioners and alert originators
Coordinate with the broader Warning Author agent architecture (MDD, Pre-Incident Template, CAP Validation, and Continuous Learning agents) to keep geospatial and message-drafting behavior consistent
Apply prompt engineering and agentic/RAG techniques where the LLM phrases geo-targeted language (e.g., locally recognized streets, landmarks, zone names)
Implement secure, compliant cloud hosting (AWS government-compliant environment) with human-in-the-loop controls, data minimization, and audit logging aligned to NIST AI RMF and NIST 800-53
Document system architecture, data models, geometry validation rules, and APIs; participate in stakeholder demos, technical reviews, and working groups
Carry out our Commitments to Deliver, Grow, and Thrive