AI & GIS Solutions Consultant

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 19%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Corner Alliance

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2007

💼 Conseil

🏛️ Gouvernement

🔒 Cybersecurity

Consulting • Government • Cybersecurity

Corner Alliance est un cabinet de conseil dédié à aider les agences gouvernementales à atteindre leurs objectifs en concevant et en mettant en œuvre des programmes fédéraux innovants dans des domaines tels que le haut débit, la cybersécurité et la sécurité publique. Ils se spécialisent dans la planification stratégique, l'analyse des politiques, la gestion de programme et l'engagement des parties prenantes pour soutenir les initiatives gouvernementales. Corner Alliance souligne son rôle en tant qu'allié gouvernemental et tire parti de son réseau pour améliorer la résilience et la sécurité des communautés grâce à une administration de programme efficace.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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 • overall, a company culture dedicated to a highly engaged team