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Geospatial Ai Jobs in Minnesota (NOW HIRING)

What if your knowledge English language could help improve the AI.     WHAT YOU'LL DO   ... Assess user-focused elements like viewport framing, geospatial accuracy, and content relevance.

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Geospatial Ai information

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 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 are popular job titles related to Geospatial Ai jobs in Minnesota?

For Geospatial Ai jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Geospatial Ai job openings in Minnesota as of August 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 80% In-person, 2% Hybrid, and 18% Remote job distribution.

Senior Esri Enterprise Systems Architect / Administrator

Saint Paul, MN • On-site


Kimley-Horn
Specialized Design Services • 5 - 10K employees

8.9

Company rating: 8.9 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 450 rated engineering

Great coworkers

People enjoy working here

Good employer


Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago


Job description

Overview
Kimley-Horn, one of Fortune Magazine's "100 Best Companies to Work For," is looking for a Senior Esri Enterprise Systems Architect/Administrator to join the team in our St. Paul, Minnesota (MN) office. Qualified candidates in other Kimley-Horn office locations may be considered. Compensation is location dependent. Salary ranges for other locations may vary based on geographic market, experience, qualifications, and other job-related factors. This is an in-office position.
Responsibilities
This role is responsible for the architecture, lifecycle, and long-term health of our ArcGIS Enterprise environment. A large server deployment supporting ArcGIS Enterprise, ArcGIS Online, and ArcGIS Pro across a 10,000+ person organization. The ideal candidate has deep hands-on Enterprise administration experience, has led major infrastructure changes before, and wants to shape platform strategy - including the responsible integration of agentic AI into geospatial workflows - while mentoring the broader Geospatial Platform Services team.
• Own the architecture and long-term technical roadmap for the organization's ArcGIS Enterprise environment, including planning and leading infrastructure migrations across the large server deployment
• Design and implement a data lifecycle and archival strategy for Portal content, balancing storage growth against usage patterns and dependencies on active web maps and apps
• Own PostgreSQL and Microsoft SQL server-based enterprise geodatabase performance at scale, including tuning, index strategy, and storage reclamation for high-volume, imagery-heavy databases.
• Establish data governance standards (geometry validation, attribute hygiene, versioning/replication hygiene) to prevent bad or oversized data from degrading platform performance or complicating migrations
• Partner with team on backup/DR strategy (WebGISDR, BackupMyOrg, custom scripting), and validate recovery processes through the infrastructure transition
• Coordinate with third-party patching/security vendors to ensure OS-level patching and application-specific configuration don't fall through coverage gaps
• Partner with team members in database tuning, Admin API scripting, and migration execution
• Develop and maintain runbooks, standards, and documentation so platform knowledge isn't concentrated in any single person
• Evaluate monitoring tooling and metrics (ArcGIS Monitor and infrastructure-level monitoring) to ensure accuracy through the infrastructure transition and correlate content-level growth with server-level health
• Drive continuous improvement initiatives across geospatial infrastructure, workflows, and team technical capability
• Serve as the senior technical escalation point for the most complex production issues, migration blockers, or ambiguous data problems
Agentic AI & Geospatial Data Responsibilities
• Evaluate and pilot agentic AI tools (e.g., Esri's AI assistants, custom agents built against the ArcGIS Admin/REST APIs, or LLM-based automation) for geospatial data governance tasks such as archive candidate identification, metadata tagging, and anomaly detection in datasets
• Define guardrails and human-in-the-loop checkpoints for any agentic workflows that can modify, archive, or delete geospatial data, ensuring agents operate within documented data governance standards
• Assess data readiness and structure (schema quality, metadata completeness, geometry validity) needed for geospatial data to be reliably consumed by AI agents or used in retrieval-augmented workflows
• Develop or oversee scripts/integrations that allow agentic tools to safely query platform health, usage, and content metadata via the ArcGIS Admin API, without granting agents unchecked write access to production systems
• Stay current on emerging agentic AI capabilities in the Esri ecosystem and broader geospatial industry, and recommend where they can responsibly reduce manual toil (e.g., content inventory reporting, patch verification, log triage) versus where human judgment must remain primary
• Partner with security and IT governance stakeholders to ensure any AI agent access to geospatial data complies with organizational security and data privacy standards
Qualifications
• Bachelor's degree or equivalent experience in Geography, Geospatial Science, Computer Science, or a related field
• Minimum of 8 years of experience in Esri ArcGIS Enterprise administration, including at least one full-lifecycle infrastructure migration led (not just supported) end-to-end
• Deep experience administering all ArcGIS Enterprise components (Server, Portal, Notebook Server, ArcGIS Monitor, Data Store) at a multi-server, enterprise scale
• Strong PostgreSQL administration expertise, including vacuum internals, performance tuning, and troubleshooting at scale - sufficient to teach and review, not just execute
• Experience with ArcGIS Enterprise backup methodologies (WebGISDR, BackupMyOrg, custom scripting) and disaster recovery validation
• Experience with Microsoft Azure cloud environments, including planning/executing infrastructure migrations
• Experience with SQL Server and enterprise geodatabase management (versioning, replication, archiving-enabled feature classes)
• Demonstrated experience mentoring or training other geospatial administrators
• Strong scripting ability (Python/ArcPy) for automation, reporting, and governance enforcement via the ArcGIS Admin API
• Foundational understanding of how agentic AI/LLM-based tools interact with structured and spatial data, and the risks involved in granting them system or data access
• Excellent problem-solving skills with the ability to diagnose issues at the architecture level, not just the symptom level
Desired Skills
• Esri certification (Enterprise Administration Professional, Enterprise System Design Professional, or Enterprise Geodata Management Professional)
• Experience building data governance or archiving programs from scratch in a geospatial or enterprise data context
• Familiarity with monitoring platforms beyond ArcGIS Monitor (Datadog, Splunk, Nagios, or similar)
Salary Range:
$130,000 to $150,000
Why Kimley-Horn?
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it- that's why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn's placement on the Fortune "100 Best Companies to Work" list for 19 years!
Key Benefits at Kimley-Horn
  • Exceptional Retirement Plan: 2-to1- company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
  • Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
  • Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
  • Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
  • Professional Development: Tuition reimbursement and extensive internal training programs.
  • Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.

Kimley-Horn logo

About Kimley-Horn

Sourced by ZipRecruiter

We are a full-service consulting firm that provides a wide range of infrastructure and land development planning and engineering services to both public and private clients. Though we have more than 6,000 employees in 100+ offices, we pride ourselves on our small company feel. At Kimley-Horn, we do things differently. People--clients and employees--are at the forefront of our business. Clients know we are laser-focused on their success. Employees know our culture and approach to business are built on a desire to see our staff flourish, one and all. Both groups know that with Kimley-Horn, they can expect more and experience better.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1967


What Kimley-Horn employees say

Pay

Benefits

Hours and flexibility

Workplace

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