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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 ...

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Geospatial Ai information

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$62.5K

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How much do geospatial ai jobs pay per year?

As of Jul 21, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles usually involve overseeing complex projects, developing innovative algorithms, and utilizing tools like Python, TensorFlow, or cloud platforms, with compensation reflecting the expertise and impact of the role.

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.

Will GIS jobs be taken by AI?

GIS jobs involve analyzing spatial data, and AI tools are increasingly used to automate data processing and mapping tasks. However, GIS professionals are needed for data interpretation, decision-making, and managing complex projects that require human expertise. AI complements GIS work but is unlikely to fully replace skilled GIS specialists in the near future.

What is geospatial AI?

Geospatial AI involves using artificial intelligence techniques to analyze and interpret geographic data, such as satellite imagery, maps, and spatial datasets. It is commonly used in fields like urban planning, environmental monitoring, and disaster response, often requiring skills in machine learning, GIS tools, and data analysis. Professionals in this area develop models to extract insights from spatial information to support decision-making.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data using tools like GIS and remote sensing. It offers opportunities in government, defense, and private sectors, often requiring technical skills and security clearances. The career can be stable and well-paying for those with relevant expertise and certifications.

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.
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Geospatial Ai jobs near you
Geospatial Solutions Architect

Geospatial Solutions Architect

Quiet Professionals LLC

Tampa, FL • On-site

$59.50 - $78.50/hr

Full-time

Re-posted 20 days ago

Job description

Position Summary

The Geospatial Solutions Architect supports mission-critical objectives under the referenced work order by designing and implementing geospatial visualization solutions ensuring integration with operational dashboards and cloud-based platforms. This role oversees GIS tool implementation, geospatial data processing, and AI/ML integration for geospatial applications.

This future opportunity is contingent upon award.

Job Description

  • The Geospatial Solutions Architect is responsible for designing, implementing, and maintaining geospatial data visualization solutions that integrate with cloud-based platforms.
  • The position requires developing operational dashboards leveraging GIS tools such as ESRI ArcGIS, QGIS, and open-source geospatial platforms.
  • Architects will optimize geospatial data layers for real-time analytics and cross-domain information sharing.
  • The role includes overseeing the integration of geospatial AI/ML models ensuring accuracy and alignment with mission requirements.

Required Qualifications and Experience

The contractor shall provide personnel who meet one of the following requirements:

  • Bachelor's degree in Geography, Geospatial Science, or a related field; or
  • A minimum of five (5) years of professional experience in geospatial architecture.

Candidates must have demonstrated experience in the following areas:

  • Developing GIS solutions using ESRI ArcGIS, QGIS, or similar platforms.
  • Integrating geospatial data into cloud-based applications.
  • Spatial analysis and remote sensing.
  • Geospatial AI/ML applications.
  • Developing operational dashboards with GIS integration.

Required Skills and Competencies

  • Expertise in GIS tools, geospatial data processing, and mapping services.
  • Working knowledge of ESRI ArcGIS, QGIS, and open-source geospatial platforms.
  • Proficiency in spatial analysis and remote sensing interpretation.
  • Strong understanding of geospatial AI/ML applications.
  • Ability to optimize geospatial data layers for real-time analytics.

Education

  • Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
  • ESRI ArcGIS Desktop Associate (Preferred, Not Required)
  • GISP Certification (Preferred, Not Required)

Clearance Requirement

No clearance required for off-site duty location, or the ability to obtain and maintain the required clearance as specified by the program