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Geospatial Ai Jobs in Colorado (NOW HIRING)

Staff Applied AI Engineer

Westminster, CO · On-site

$124K - $206K/yr

With AI built in, MPS will function as a digital operator capable of scheduling tasks on specific ... geospatial or satellite systems Experience in mission-critical or ITAR environments Pay ...

Imagery Scientist (OPIR)

Aurora, CO · On-site

$116K - $210K/yr

Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and ...

Imagery Scientist (OPIR)

Aurora, CO · On-site

$116K - $210K/yr

Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...

GIS Manager

Colorado Springs, CO · On-site

$82K - $111K/yr

... geospatial solutions. • Identify opportunities to improve GIS workflows through quality standards, automation, AI-assisted analysis, and data management tools. • Collaborate with GIS analysts ...

GIS Manager

Colorado Springs, CO · On-site +1

$82K - $111K/yr

Serve as the team's lead integrator for GIS and geospatial solutions. Identify opportunities to improve GIS workflows through quality standards, automation, AI-assisted analysis, and data management ...

Showing results 21-40

Geospatial Ai information

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 are popular job titles related to Geospatial Ai jobs in Colorado? For Geospatial Ai jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Geospatial Ai jobs? Cities in Colorado with the most Geospatial Ai job openings:
Infographic showing various Geospatial Ai job openings in Colorado as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Software Engineer (Colorado)

Kestrel Intelligence

Colorado Springs, CO

Full-time

Re-posted 26 days ago


Job description

The Mission
At Kestrel, we are building the future of scalable autonomy across domains. Our systems enable commercial and national security customers to sense and act in support of complex missions without significant autonomous system expertise. This technology bridges domains (e.g., space, air, land, sea) and fields (e.g., AI, orbital dynamics, geospatial), requiring a team that has both breadth and depth in these related topics.
 
The Role
As a Kestrel Software Engineer, you will lead the development of CI/CD artifacts, data structures, data processing pipelines, components of an agentic AI architecture, and user interface components. You will work at the bleeding edge of geospatial science. This role requires adaptability, engineering rigor, and a deep respect for the mission.
 
Core Responsibilities:
- Design and deploy our infrastructure using Terraform
- Lead the deployment of Python-based APIs to cloud environments
- Experience with large-scale infrastructure architecture
- Establish infrastructure best practices from the ground up, including: Environment separation (dev / staging / prod); Secure networking, IAM, and secrets management; Logging, monitoring, and alerting
Design and maintain CI/CD pipelines using GitHub Actions
- Apply prior AWS GovCloud and DoD IL experience to ensure: Compliance-ready infrastructure; Architecture choices that will not block future government deployments
- Design infrastructure and deployment patterns that support multi-cloud environments, including: Cloud-agnostic Terraform module design where practical; Minimizing provider lock-in for core services; Supporting future deployments across commercial cloud and GovCloud environments
- Plan and advise on future AWS GovCloud and DoD IL deployments, even if those environments are not immediately live
- Identify and mitigate infrastructure and compliance risks early
 
Bonus:
- Strong software engineering background is a plus, particularly: API development; Distributed or service-oriented systems; Prior experience designing or operating multi-cloud environments is a plus
- Based in the Colorado Springs, CO or Washington, DC (working in customer sites in Crystal City, VA and Herndon, VA) areas
- Active Top Secret // Specially Compartmented Information (TS//SCI) clearance with counterintelligence-scope polygraph (CSP) or full-scope polygraph (FSP)
 
Must be a US Citizen

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.