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Geospatial Ai Jobs (NOW HIRING)

Urban SDK

Data Engineer

$117K - $140K/yr

We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling ...

Weekday AI

Geospatial Analysis Specialist (QGIS)

$58K - $70K/yr

Geospatial Analysis Specialist (QGIS) Job Type: Specialist Location: Remote Job Summary: In this ... No previous experience in AI is necessary - your domain knowledge is what counts. Requirements Key ...

Urban SDK

Senior Front End Engineer

$125K - $172K/yr

We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling ...

Urban SDK

Senior Backend Engineer

We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling ...

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $224K/yr

Develop machine learning models for geospatial inference of key ecosystem metrics, leveraging geospatial AI to synthesize environmental data into actionable parameters for ecosystem design and ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

Own and architect the mission-aligned roadmap for geospatial CV and applied AI, partnering with customers to translate mission requirements into technical designs and implementing core components.

Maxar

Applied AI Scientist

Herndon, VA

$146K - $244K/yr

Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence. * Build andoperate end-to-end AI/ML pipelines ...

Esri

Product Manager - AI

Redlands, CA · On-site

Experience with geospatial technologies and the ArcGIS system, including common GIS data models and workflows * Familiarity with responsible AI practices such as trust, transparency, evaluation ...

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All JobsGeospatial Ai Jobs

Geospatial Ai information

See salary details

$62.5K

$77.4K

$92.5K

How much do geospatial ai jobs pay per year?

As of Jun 9, 2026, the average yearly pay for geospatial ai in the United States is $77,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $82,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Geospatial AI Specialist, and why are they important?

To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Ai vs GIS Analyst?

AspectGeospatial AiGIS Analyst
Required CredentialsDegree in GIS, Computer Science, or related; experience with AI/ML toolsDegree in Geography, GIS, or related; proficiency in GIS software
Work EnvironmentTech-focused, data science teams, field data collectionOffice-based, mapping, spatial data analysis
Industry UsageTech companies, AI-driven mapping, autonomous systemsGovernment, urban planning, environmental management
Search & Comparison IntentFocus on AI applications in geospatial dataFocus on traditional spatial data analysis

Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.

What is Geospatial AI?

Geospatial AI refers to the integration of artificial intelligence techniques with geospatial data, such as maps, satellite imagery, and location-based information. Professionals in this field use machine learning and deep learning algorithms to analyze spatial data, uncover patterns, and make predictions related to geography, urban planning, agriculture, and more. Geospatial AI is widely used for applications like disaster response, environmental monitoring, smart cities, and autonomous vehicles. It requires expertise in both AI methodologies and geographic information systems (GIS).

How do Geospatial AI professionals typically collaborate with other teams to deliver actionable insights?

Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.
More about Geospatial Ai jobs
What cities are hiring for Geospatial Ai jobs? Cities with the most Geospatial Ai job openings:
What states have the most Geospatial Ai jobs? States with the most job openings for Geospatial Ai jobs include:
What job categories do people searching Geospatial Ai jobs look for? The top searched job categories for Geospatial Ai jobs are:
Geospatial Ai jobs near you
Infographic showing various Geospatial Ai job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $77,355 per year, or $37.2 per hour.
Senior Geospatial Systems Software Engineer

Senior Geospatial Systems Software Engineer

Bridge Core

Springfield, VA

$128K - $169K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

Job description

Overview
Location: Springfield, VA
Clearance Required: Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly is required upon application for initial consideration **We are not able to upgrade or sponsor clearances**
At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support.Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.
Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business? Do you have a desire to change how people work? Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting the NGA customer missions as a Senior Geospatial Systems Software Engineer.
Responsibilities
What you get to do every day:
  • Architect, develop, and optimize enterprise-grade GIS applications and solutions.
  • Provide technical leadership across the software development lifecycle - from requirements gathering and system design to implementation and delivery.
  • Guide teams in Agile/Scrum environments, supporting DevSecOps best practices and CI/CD workflows.
  • Oversee containerization strategies and deployment pipelines using Docker, Kubernetes, and OpenShift.
  • Lead system integration efforts with geospatial databases (PostGIS/PostgreSQL), services (ArcGIS Enterprise, QGIS, GeoServer), and COTS tools (ENVI, RemoteView, Erdas Imagine, Skyline).
  • Design and implement advanced geospatial data pipelines including acquisition, processing, and transformation at scale.
  • Ensure compliance with Risk Management Framework (RMF) and implement robust access control strategies.
  • Lead the implementation of automated Static Code Analysis and Container Scanning within the CI/CD pipeline and drive the remediation of vulnerabilities to ensure spatial microservices and data layers are hardened and audit ready.
  • Architect and implement secure, interoperable geospatial services utilizing OGC (Open Geospatial Consortium) standards (WMS, WFS, WMTS, WCS, and OGC API - Features) to ensure seamless data exchange across multi-domain DoD and Intelligence Community platforms.
  • Support AI/ML model integration by developing data frameworks, model benchmarks, and performance metrics.
  • Conduct and lead peer reviews, QA/QC evaluations, code validation, and database design sessions.
  • Act as a technical liaison with stakeholders, translating mission requirements into scalable geospatial solutions.
  • Mentor junior and mid-level developers, promoting knowledge sharing and continuous learning.
  • Stay current on emerging geospatial, AI, and cloud technologies to influence strategic decisions.
Qualifications
Clearance Required: Active TS clearance (with SCI Eligibility) and eligibility to obtain CI Poly **We are not able to upgrade or sponsor clearances**
Education/Experience:
  • Bachelor's or Master's degree in information systems or a related field
  • 10+ years of experience in systems administrator, engineering, and integration supporting large-scale system sustainability
  • 5+ years of related DoD, Military, or US Government related experience
Required Skills:
  • Proven leadership in developing and managing enterprise GIS solutions in secure environments.
  • Advanced experience with Python, JavaScript, C++, HTML, SQL, and C#.
  • Deep expertise in ArcGIS Enterprise, ArcGIS Pro, QGIS, GeoServer, and PostGIS/PostgreSQL.
  • Strong understanding of RMF compliance, cybersecurity practices, and access management.
  • Significant experience with DevSecOps, containerization (Docker/Kubernetes/OpenShift), and CI/CD pipelines.
  • Expertise in architecting secure geospatial solutions that adhere to STIG compliance and enterprise security benchmarks.
  • Expert-level knowledge of OGC standards and their implementation within enterprise service-oriented architectures and cloud-native environments.
  • Demonstrated ability to lead Agile teams and mentor other engineers.
What is ideal?
  • Intelligence Community Experience preferred
  • Familiarity with AI/ML integration and geospatial data science is highly desirable.
What you can expect from us
  • Recognizing great achievements do not go unnoticed by bcore through service anniversaries, spot awards, and employee referral bonuses
  • You'll join a growing organization of passionate, top-shelf, IT engineering professionals with extensive experience in actively developing the technology revolution in the Intelligence community
  • Highlights of our benefits include Health/Dental/Vision, 401(k) match, Universal Leave, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more!
  • Compensation is unique to each candidate and compensation packages are based on education, experience, and other requirements.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

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