代理 AI 与 GIS 解决方案顾问

***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.
About the Role:
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.
Key Responsibilities include (but are not limited to):
· 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

Location:
You will work as part of a dynamic team remotely. You will work at the client site dependent on contract requirements.
Required Experience/Skills:
· 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

Preferred Experience/Skills:
· 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

Don’t think you have everything for this role but are still very interested? Please don’t hold back from applying because you may not have it all. You can learn and grow with us. We're looking for someone who is coachable, unflappable in navigating challenges, resourceful in learning new skills, innovative in challenging the status quo, excellent in writing, analytical in thinking, skilled in prioritization, and a rapport builder with clients and colleagues.
About Us:
Corner Alliance offers a comprehensive and competitive benefits package for full-time employees including 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, and overall, a company culture dedicated to a highly engaged team.
Corner Alliance is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability status, genetics, protected veteran status, or any other basis covered by applicable law. We are dedicated to building a talented workforce that reflects the strength of our society and our shared commitment to excellence. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with Corner Alliance please call (202) 754-8120 or email . Corner Alliance participates in the E-verify program and will provide the Federal Government with Form I-9 information to confirm work authorization in the U.S.
Visit us at to learn more.
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Originally posted on Himalayas