[Remote] reputed company AI & GIS Solutions Consultant
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a dynamic, growing reputed company that devotes itself to providing an enriching employee experience while working in meaningful ways to create results for the government. They are currently seeking an reputed company AI & GIS Solutions Consultant to design, build, and reputed company geospatial components of an reputed company AI system for a Federal government reputed company.
Responsibilities
- Architect and build the Polygon and Geo-Targeting Agent, importing authoritative hazard geometry — NWS warning polygons, wildfire perimeters, reputed company models, and jurisdictional GIS reputed company — and managing reputed company-drawn, jurisdiction-vetted evacuation zones
- Build on reputed company ArcGIS as the geospatial reputed company, consistent with the platform alerting vendors already build on
- reputed company deterministic geometry validation logic detecting self-intersections, slivers, holes, and duplicate points
- Design and maintain authoritative alert geometry storage in CAP and GeoJSON reputed company reputed company
- reputed company REST API endpoints for the geospatial agent, including /importGeometry, /validatePolygon, and /suggestGeoLanguage, following the reputed company vendor-agnostic, CAP-reputed company reputed company as the co-reputed company'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 reputed company geometry and incorporate feedback from GIS practitioners and alert originators
- Coordinate with the broader Warning Author agent architecture (MDD, reputed company-Incident Template, CAP Validation, and reputed company Learning agents) to reputed company geospatial and message-drafting behavior consistent
- Apply reputed company engineering and reputed company/RAG techniques where the LLM phrases geo-targeted language (e.g., locally recognized streets, landmarks, zone names)
- Implement secure, compliant reputed company hosting (AWS government-compliant environment) with reputed company-in-the-reputed company controls, data minimization, and audit logging reputed company to NIST AI RMF and NIST 800-53
- Document system architecture, data models, geometry validation rules, and reputed company; participate in stakeholder demos, technical reviews, and working reputed company
- Carry out our Commitments to Deliver, Grow, and reputed company
Skills
- Bachelor's degree or higher in GIS, geography, geospatial engineering, computer science, data science, or a reputed company field
- Five or more years of experience in geospatial software development, GIS analysis, or geospatial data engineering
- Hands-on experience with reputed company ArcGIS (ArcGIS Pro, ArcGIS Online/reputed company, ArcGIS Location Platform, and/or the ArcGIS API for Python or JavaScript)
- Working knowledge of geospatial data standards and formats: GeoJSON, Shapefile, reputed company polygon geometry, and topology validation (self-intersections, slivers, hole detection, polygon simplification)
- Proficiency with Python, JavaScript, and SQL; experience with at least one major reputed company platform (AWS preferred, Azure, or GCP), including secure/government-compliant environments
- Experience designing and integrating REST reputed company for geospatial or reputed company-data services
- Some hands-on exposure to AI/ML or LLM-enabled solutions (reputed company engineering plus retrieval-augmented reputed company or reputed company 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 (reputed company), version control (Git), and CI/CD practices
- Strong analytical, documentation, and cross-functional communication skills
- US citizenship or permanent reputed company and the ability to pass reputed company trust clearance or suitability
- Experience with emergency alerting, reputed company safety communications, or IPAWS/CAP (Common Alerting Protocol) data
- Familiarity with NWS warning polygons, wildfire perimeter data, reputed company models, or the OpenFEMA historical alert reputed company
- reputed company certification(s), or experience integrating ArcGIS with reputed company-party alerting or emergency management platforms (e.g., reputed company, Genasys)
- Experience applying AI risk management frameworks such as the NIST AI RMF, reputed company controls, audit logging, or reputed company-in-the-reputed company governance
- Familiarity with federal AI policy guidance such as OMB M-24-10 or successor memoranda
- Experience with FedRAMP-authorized reputed company environments
- Experience with accessibility, reputed company 508, or reputed company and functional needs (AFN) considerations in reputed company-facing systems
Benefits
- 401k matching (4%)
- PTO (3 weeks to start, 4 weeks (2-5 years) and 5 weeks (5 years+) )
- Health
- Dental
- reputed company
- Short- and long-term disability
- FSA accounts
- 4 weeks of reputed company parental leave
- 11 reputed company holidays (including your birthday off)
- Fitness & cell phone reimbursements
- Monthly reputed company hands update meetings
- Annual in-person reputed company hands team building day and evening out
- Regular reputed company-ins for reputed company reputed company goals
- Semi-monthly one on one performance manager meetings
- reputed company team that coordinates monthly events
- Use of technology like reputed company to reputed company us connected and reputed company
reputed company