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Geospatial Ai Jobs (NOW HIRING)

Streamline Defense

Geospatial Solutions Architect

Miami, FL · On-site

$60.25 - $79.25/hr

... and geospatial AI/ML applications is required. Preferred : • Desirable but not required certifications include ESRI ArcGIS Desktop Associate or GISP certification. Company : Streamline Defense ...

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 ...

Vantor

Applied AI Scientist

Herndon, VA · On-site

The Applied AI Scientist will design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence. Responsibilities ...

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 ...

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $184K/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 ...

Esri

Product Manager - AI

Redlands, CA

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 ...

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 ...

Geo Owl

Geospatial Analyst

Springfield, VA · On-site

Your Growth You'll expand your geospatial tradecraft into applied data science and AI/ML data operations - developing skills in quantitative analysis, spatial statistics, and ML-informed imagery ...

Geo Owl

Geospatial Analyst

Springfield, VA · On-site

Your Growth You'll expand your geospatial tradecraft into applied data science and AI/ML data operations -- developing skills in quantitative analysis, spatial statistics, and ML-informed imagery ...

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 ...

Maxar

Geospatial Platform Engineer

Mclean, VA

We are seeking a Geospatial Platform Engineer to support geospatial, imagery, AI/ML, and data-driven application development, deployment, and operations. This role will focus on moving mission ...

Urban SDK

Account Manager

Jacksonville, FL · On-site

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 ...

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Geospatial Ai information

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$77.4K

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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.
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 July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $77,355 per year, or $37.2 per hour.
Geospatial Solutions Architect

Geospatial Solutions Architect

Streamline Defense

Miami, FL • On-site

$60.25 - $79.25/hr

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Streamline Defense is seeking a Geospatial Solutions Architect to support the U.S. Southern Command (USSOUTHCOM) Enterprise Data & Analytics (EDA) program from their facility in Tampa, FL. The role involves designing and implementing geospatial visualization solutions and ensuring integration with operational dashboards and cloud-based platforms.
Responsibilities:
• Proposed personnel possess the knowledge and capability to design and implement geospatial visualization solutions, ensuring integration with operational dashboards and cloud-based platforms.
• Personnel must be proficient in GIS tools, geospatial data processing, and mapping services.
Qualifications:
Required:
• The contractor shall provide personnel with a Bachelor's degree in Geography, Geospatial Science, or a related field, or five (5) years of equivalent experience in geospatial architecture.
• Personnel 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.
Preferred:
• Desirable but not required certifications include ESRI ArcGIS Desktop Associate or GISP certification.
Company:
Streamline Defense delivers cutting-edge intelligence, cyber, and mission support solutions that outpace threats and drive operational advantage across defense and national security missions. Founded in 2007, the company is headquartered in Tampa, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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