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Geospatial Ai Jobs (NOW HIRING)

SOSi

Geospatial Solutions Architect

$64.50 - $85/hr

The contractor shall oversee the integration of geospatial AI/ML models, ensuring accuracy and alignment with mission requirements. * The contractor shall provide the Geospatial Data & Dashboard ...

SOSi

Geospatial Solutions Architect

$64.50 - $85/hr

The contractor shall oversee the integration of geospatial AI/ML models, ensuring accuracy and alignment with mission requirements. * The contractor shall provide the Geospatial Data & Dashboard ...

Prescient Edge

Geospatial Solutions Architect

Doral, FL · On-site

$60.25 - $79.50/hr

Shall oversee the integration of geospatial AI/ML models, ensuring accuracy and alignment with mission requirements. * Shall provide the Geospatial Data & Dashboard Integration Report, detailing ...

Vantor

Applied Geospatial ML Engineer

Herndon, VA · On-site

They are seeking an experienced AI/ML engineer to work across the full analytical workflow--from ... geospatial analytics, signal processing, and computer vision) • Design, implement, and assess ...

Maxar

Applied Geospatial ML Engineer

Herndon, VA

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... We're seeking an experienced AI/ML engineer to work across the full analytical workflow-from data ...

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Geospatial Ai information

See salary details

$62.5K

$77.4K

$92.5K

How much do geospatial ai jobs pay per year?

As of Aug 10, 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.

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 August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $77,355 per year, or $37.2 per hour.

Geospatial Solutions Architect - Mid

Nalley Consulting

Miami, FL • On-site

$60.25 - $79.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Join the Nalley Consulting team at Southcom HQ.
Position: Geospatial Solutions Architect
LCAT: Mid
Location: SOUTHCOM HQ, Doral, FL / Off-site
Office: U.S. SOUTHERN Command J2
Required clearance: No
Required education: Bachelor's degree in Geography, Geospatial Science, or a related field, or five (5) years of equivalent experience in geospatial architecture.
Description:
  • Design, implement, and maintain geospatial data visualization solutions that integrate with cloud-based platforms.
  • Develop operational dashboards that leverage GIS tools such as ESRI ArcGIS, QGIS, and open-source geospatial platforms.
  • Optimize geospatial data layers for real-time analytics and cross-domain information sharing.
  • Oversee the integration of geospatial AI/ML models, ensuring accuracy and alignment with mission requirements.
  • Provide the Geospatial Data & Dashboard Integration Report, detailing geospatial system enhancements and user engagement metrics.
Required Experience:
  • Possess the knowledge and capability to design and implement geospatial visualization solutions, ensuring integration with operational dashboards and cloud-based platforms.
  • Must be proficient in GIS tools, geospatial data processing, and mapping services.
  • Must have demonstrated experience in developing GIS solutions using ESRI ArcGIS, QGIS, or similar platforms, as well as integrating geospatial data into cloud-based applications.
  • Experience with spatial analysis, remote sensing, and geospatial AI/ML applications is required.
Desired Qualifications:
  • ESRI ArcGIS Desktop Associate or GISP certification.

ABOUT NALLEY CONSULTING

Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states.

Nalley Consulting fringe benefits include:

  • Excellent medical, dental, and vision benefits
  • PTO
  • 11 paid federal holidays
  • Tuition assistance
  • Paid military-reserve leave
  • Paid parental leave for birth or adoption
  • 401k matching up to 5 percent of the base salary
  • Flex time
  • Company-paid short-term disability, long-term disability, and life insurance.

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