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Geospatial Ai Jobs in Oregon (NOW HIRING)

Senior Software Developer

$54.50 - $72/hr

... AI technologies and incorporate them into engineering practices. GIS & Enterprise Applications * Design and support GIS-enabled enterprise applications. * Integrate mapping services and geospatial ...

AI Software Engineering Manager

Lake Oswego, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... geospatial and transportation. Whether it's helping customers build and maintain infrastructure ... You have a proven track record of deploying agentic AI frameworks that automate complex ERP tasks ...

AI Software Engineering Manager

Lake Oswego, OR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... geospatial and transportation. Whether it's helping customers build and maintain infrastructure ... You have a proven track record of deploying agentic AI frameworks that automate complex ERP tasks ...

Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. * Possess the knowledge and capability to develop advanced machine learning models and ...

Senior Data Scientist

OR · On-site +1

Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. * Possess the knowledge and capability to develop advanced machine learning models and ...

Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. * Possess the knowledge and capability to develop advanced machine learning models 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 ...

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 ...

Software Engineer

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Comfort with AI development tooling. * Strong sense of product ownership. Familiarity with a fast-paced startup environment. Nice to Have: * Experience with Databricks * Experience with geospatial ...

The application you build captures the raw material that powers downstream AI-driven workflows and ... Build workflows for capturing, storing, and transmitting images and geospatial data * Ensure ...

Android Software Engineer

Corvallis, OR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for ... geospatial and transportation. Whether it is helping customers build and maintain infrastructure ...

... and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources. * Knowledge of data visualization, feature selection, and geospatial analytics is ...

... and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources. * Knowledge of data visualization, feature selection, and geospatial analytics is ...

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Showing results 1-20

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 Oregon? For Geospatial Ai jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Geospatial Ai jobs? Cities in Oregon with the most Geospatial Ai job openings:
Infographic showing various Geospatial Ai job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, 4% Contract, and 1% Nights. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

$54.50 - $72/hr

Full-time

Re-posted 10 days ago


Job description

Overview

Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions. Our proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive. For more information, visit www.Empower.ai.

Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company's commitment to hiring and supporting active-duty and veteran employees.

Responsibilities

Empower AI is looking for a highly experienced remote Senior Lead Software Developer to lead the architecture, design, development, and modernization of enterprise applications. This is a senior technical leadership role requiring an individual who can independently architect complex solutions, make technology decisions, and lead development efforts from concept through production.

The successful candidate will possess deep expertise in AWS cloud technologies, full-stack application development, modern software architecture, API design, containerization, DevSecOps, and AI-assisted software engineering. The individual will collaborate closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and maintainable enterprise solutions.

Qualifications
  • Solution & Application Architecture
    • Independently design end-to-end enterprise application architectures.
    • Define technical architecture, system integration strategies, and application roadmaps.
    • Design scalable, secure, high-availability, and cloud-native solutions.
    • Develop application, integration, deployment, and data architecture artifacts.
    • Evaluate technologies and recommend architecture patterns and frameworks.
    • Ensure compliance with enterprise architecture, security, and governance standards.
    • Lead technical design reviews and architecture discussions.
    Full-Stack Software Development
    • Design, develop, and maintain enterprise web applications.
    • Build scalable backend services using Node.js, Python, and Java.
    • Develop modern frontend applications using JavaScript and contemporary frameworks.
    • Perform code reviews and establish development standards.
    • Mentor developers and promote engineering best practices.
    AWS Cloud Engineering

    Design and implement solutions using AWS services including:

    • EC2
    • ECS/EKS
    • Lambda
    • API Gateway
    • RDS (SQL Server/PostgreSQL)
    • S3
    • IAM
    • CloudWatch
    • SNS/SQS
    • Secrets Manager
    • VPC Networking
    API & Integration Development
    • Design RESTful APIs and microservices.
    • Define API standards and governance.
    • Implement secure authentication and authorization.
    • Integrate enterprise systems and third-party platforms.
    • Produce API documentation using OpenAPI/Swagger.
    Database Development
    • Design relational database architectures.
    • Develop optimized SQL solutions using SQL Server and PostgreSQL.
    • Perform data modeling, indexing, and performance tuning.
    • Support database modernization and migration initiatives.
    Containerization & Cloud-Native Solutions
    • Develop and deploy containerized applications using Docker.
    • Design and implement solutions using Kubernetes, Amazon ECS, or Amazon EKS.
    • Support Infrastructure as Code and automated deployments.
    DevSecOps
    • Design and implement CI/CD pipelines.
    • Integrate automated testing and security scanning.
    • Champion secure coding practices and DevSecOps principles.
    • Support automated deployments and release management.
    AI-Assisted Software Engineering
    • Leverage AI tools to improve software development productivity and quality.
    • Utilize AI for code generation, documentation, testing, debugging, and modernization.
    • Evaluate emerging AI technologies and incorporate them into engineering practices.
    GIS & Enterprise Applications
    • Design and support GIS-enabled enterprise applications.
    • Integrate mapping services and geospatial data.
    • Develop location-aware solutions where applicable.
  • Required Qualifications
    • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
    • US Citizen with ability to obtain Public Trust clearance
    • 10+ years of experience in enterprise software development.
    • 5+ years designing enterprise application architectures independently.
    • Demonstrated ability to lead the technical design of complex, large-scale systems.
    • Strong expertise in AWS cloud-native application development.
    • Extensive experience with Node.js, Python, Java, JavaScript, SQL Server, and PostgreSQL.
    • Strong experience developing RESTful APIs and microservices.
    • Experience with Docker and container orchestration technologies.
    • Strong knowledge of DevSecOps, CI/CD pipelines, and secure software development.
    • Experience mentoring development teams and leading technical initiatives.
    • Excellent problem-solving, communication, and stakeholder management skills.
    Preferred Qualifications
    • AWS Solutions Architect or AWS Developer Certification.
    • Experience with Kubernetes (Amazon EKS or OpenShift).
    • Experience with GIS platforms such as ArcGIS or ESRI.
    • Experience with AI development tools (GitHub Copilot, ChatGPT Enterprise, Amazon Q, Claude).
    • Experience with Infrastructure as Code (Terraform or CloudFormation).
    • Experience in Agile/Scrum environments.
    • Experience supporting federal or regulated environments.

 

PHYSICAL REQUIREMENTS: 

This position requires the ability to perform the below essential functions: 

  • Sitting for long periods 
  • Ambulate throughout an office 
  • Ambulate between several buildings 
About Empower AI

It is the policy of Empower AI to provide equal opportunity in recruiting, hiring, training, and promoting individuals in all job categories without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other protected class or category as may be defined by federal, state, or local laws or regulations. In addition, we affirm that all compensation, benefits, company-sponsored training, educational assistance, social, and recreational programs are administered without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, or gender identity. It is our firm intent to support equal employment opportunity and affirmative action in keeping with applicable federal, state, and local laws and regulations.  Empower AI is a VEVRAA Federal Contractor.

Pay Band MinUSD $105,660.00/Yr.Pay Band MaxUSD $163,530.00/Yr.Employment Type: FULL_TIME