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Geospatial Ai Jobs in Rosedale, MD (NOW HIRING)

Booz Allen Hamilton

AI Developer

Fort George G Meade, MD · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

Booz Allen Hamilton, Inc.

AI Developer

Fort George G Meade, MD · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

Belay Technologies

Senior Software Engineer

Columbia, MD · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Join a fast-moving AI team focused on delivering mission-critical AI capabilities that enable ... Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis.

Belay Technologies

Senior Software Engineer

Columbia, MD · On-site

$190K - $240K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Join a fast-moving AI team focused on delivering mission-critical AI capabilities that enable ... Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis.

Booz Allen Hamilton, Inc.

Data Scientist

Fort George G Meade, MD · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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All JobsGeospatial Ai JobsGeospatial Ai Jobs in Rosedale, MD

Geospatial Ai information

See Rosedale, MD salary details

$59.9K

$74.2K

$88.7K

How much do geospatial ai jobs pay per year?

As of Aug 15, 2026, the average yearly pay for geospatial ai in Rosedale, MD is $74,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $78,600.00 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.

What cities near Rosedale, MD are hiring for Geospatial Ai jobs?

Cities near Rosedale, MD with the most Geospatial Ai job openings:

Geospatial Ai jobs near you

Junior Geospatial Developer

Washington College

Chestertown, MD

$50K - $55K/yr

Full-time

Posted 15 days ago

Washington College rating

5.2

Company rating: 5.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

601st of 618 rated colleges and universities

Job description

Washington College is seeking a Junior Geospatial Developer to support ongoing GIS initiatives and contribute to the development of geospatial tools, applications, and data solutions.

The Junior Geospatial Developer supports the design and implementation of scalable GIS system architectures in support of GIP’s sponsor-funded and partner-supported initiatives. The position contributes to application development, automation workflows, and integration of data and analytical outputs into web-based and enterprise geospatial systems.

The role participates in the software development lifecycle (SDLC), assisting with development, testing, deployment, and maintenance of geospatial applications. The Junior Geospatial Developer works under the guidance of senior engineering staff to ensure code quality, documentation consistency, and reliable system performance.

Essential Functions:

  • Assist in developing web-based and enterprise GIS applications across cloud and hosted environments.
  • Contribute to application architecture design and system integration under senior guidance.
  • Participate in the software development lifecycle, including requirements review, development, testing, and deployment support.
  • Integrate datasets and analytical outputs into dashboards, web applications, and geospatial services.
  • Develop and maintain APIs and automated geoprocessing workflows as assigned.
  • Follow established coding standards, documentation practices, and version control procedures.
  • Conduct testing and troubleshooting to improve system reliability and performance.
  • Collaborate with data specialist and analytics teams to support integrated solution delivery.
  • Maintain technical documentation for application features and workflows.
  • Support experiential learning activities by collaborating with student teams and interns on development tasks.

Qualifications: (Resume w/ Cover Letter Required)

  • Experience integrating spatial data into web applications.
  • Coursework or experience in API development, automation scripting, or related technical workflows.
  • Experience with or familiarity using JavaScript and Python in applied development environments.
  • Familiarity with cloud-based databases and backend platforms, such as Firebase.
  • Ability to create automated scripts, data workflows, or AI-assisted tools and agents to support project delivery.
  • Interest in creative problem-solving and system architecture, including practical, scalable solutions for geospatial and data-driven projects.
  • Familiarity with or willingness to learn server setup, maintenance, or deployment workflows.
  • Willingness to mentor interns; prior mentoring experience is a plus.

Salary: $50,000 - $55,000

Applicant must be authorized to work in the United States without employee sponsorship. This position is not eligible for visa sponsorship.

Application Deadline to Friday, August 28th

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