1

Geospatial Ai Jobs (NOW HIRING)

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 ...

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... Contribute to multi-discipline AI/ML engineering teams using multi-INT data (with emphasis on ...

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... Contribute to multi-discipline AI/ML engineering teams using multi-INT data (with emphasis on ...

Geospatial Solutions Architect

$64.50 - $85/hr

Experience with spatial analysis, remote sensing, and geospatial AI/ML applications. Preferred Qualifications * ESRI ArcGIS Desktop Associate or GISP certification. Required Education and Experience ...

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 ...

next page

Showing results 1-20

Geospatial Ai information

See salary details

$62.5K

$77.4K

$92.5K

How much do geospatial ai jobs pay per year?

As of Jun 8, 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:
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.

Applied Geospatial ML Engineer

Maxar

Herndon, VA

Full-time

Retirement

Posted 9 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level.

Do you have a head for numbers and enjoy being an integral part of solving mission-critical, real-world problems? Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us! Our solutions require innovative approaches that integrate bespoke capabilities and tools to solve our customers most complex challenges. We're seeking an experienced AI/ML engineer to work across the full analytical workflow-from data acquisition and model development to pipeline evaluation, application prototyping, and hardware-based solution implementation.

Responsibilities:

  • Contribute to multi-discipline AI/ML engineering teams using multi-INT data (with emphasis on GEOINT) to design, implement, and evaluate machine learning solutions
  • Engineer and transform diverse data types to support all phases of the AI/ML workflow
  • Architect, develop, and integrate novel AI/ML models (e.g., semantic activity detection, geospatial analytics, signal processing, and computer vision)
  • Design, implement, and assess various geospatial AI/ML solutions across hardware and software stacks
  • Stay current on AI/ML advances from industry and academia, applying them to government mission challenges
  • Provide subject matter expertise, mentoring, and strategic advice to government and internal teams on AI/ML trends, approaches, and delivery strategies
  • Communicate progress, results, risks, and challenges to government clients, partners, and project leadership
  • Support program execution by integrating diverse data science skillsets, managing sprint projections, assessing risks, and occasionally traveling for meetings and demonstrations

Minimum Qualifications:

  • Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph.
  • B.S. in Data Science, Engineering, Math, Physics, Computer Science, or related field
  • 5+ years designing, developing, testing, and deploying AI/ML models across diverse data types
  • Minimum 2 years of experience with low-shot learning, robust ML, spatial trajectory analytics, and cloud-based platforms (e.g., AWS, Azure) and AI/ML services (e.g., SageMaker, Watson Studio)
  • Experience working with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-based data streams and familiarity with government collection platforms.
  • Experience with modern development practices, including version control, and CI/CD
  • Strong communication skills demonstrated through technical writing and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail
  • Competence with Linux environments

Preferred Qualifications:

  • Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, or a related field
  • Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent
  • Experience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches
  • Ability to design and implement compute hardware and infrastructure solutions to support both client and backend AI/ML applications

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

$185,000.00 - $228,000.00

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.