[Hiring] Agentic AI & GIS Solutions Consultant @Corner Alliance

Role Description

This role is contingent upon award. 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.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 401k matching (4%).
• PTO (3 weeks to start, 4 weeks (2-5 years) and 5 weeks (5 years+)).
• Health, dental, vision, short- and long-term disability.
• FSA accounts.
• 4 weeks of paid parental leave.
• 11 paid holidays (including your birthday off).
• Fitness & cell phone reimbursements.
• Monthly all hands update meetings.
• Annual in-person all hands team building day and evening out.
• Regular check-ins for professional growth goals.
• Semi-monthly one on one performance manager meetings.
• A social team that coordinates monthly events.
• Use of technology like Slack to keep us connected and collaborative.
• A company culture dedicated to a highly engaged team.