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Spatial Ai Jobs in Springfield, VA (NOW HIRING)

XR Software Engineer

Chantilly, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate spatial assets, APIs, data services, AI capabilities, user interfaces, and third-party technologies. * Develop interactive features including spatial navigation, object interaction ...

Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming. * Working knowledge of ...

Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming. * Working knowledge of ...

Technology Architect - AI

Mclean, VA · On-site

$138K - $180K/yr

Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming. * Working knowledge of ...

... contributing to AI-enabled, data-driven solutions. Responsibilities : • Design, analyze and develop geo-spatial solutions and product specifications for infrastructure, hydrographic and ...

... contributing to AI-enabled, data-driven solutions. Responsibilities : • Design, analyze and develop geo-spatial solutions and product specifications for infrastructure, hydrographic and ...

... contributing to AI-enabled, data-driven solutions. Responsibilities : • Design, analyze and develop geo-spatial solutions and product specifications for infrastructure, hydrographic and ...

Spatial Front, Inc. is a recognized workplace seeking a BI Team Lead to support their growing team ... AI, improving data quality and doing better data mapping • Work on executing various ETL ...

... AI-enabled, data-driven solutions for complex datasets. Responsibilities : • Design, analyze and develop geo-spatial solutions and product specifications for infrastructure, hydrographic and ...

Spatial Front, Inc. is a two-time USAToday Top Workplaces awardee and Washington Top Workplaces ... AI, improving data quality and doing better data mapping • Work on executing various ETL ...

Job Summary : Spatial Front, Inc. is seeking a Modernization SME and ART lead to support their ... AI/automation enablement, data quality improvement, DevSecOps, and help desk optimization. • ...

Showing results 41-60

Spatial Ai information

See Springfield, VA salary details

$105K

$128.6K

$159.8K

How much do spatial ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for spatial ai in Springfield, VA is $128,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $133,700.00 per year, depending on experience, location, and employer.

What is Spatial AI?

Spatial AI refers to artificial intelligence systems designed to perceive, understand, and interact with the physical world in real time by processing spatial data. It combines elements of computer vision, 3D mapping, and sensor fusion to enable machines to interpret and respond to their environment, commonly used in robotics, augmented reality, and autonomous vehicles. Spatial AI technologies help machines understand objects, spaces, and movement, allowing for more advanced navigation and interaction within complex environments.

How does a spatial AI specialist typically collaborate with cross-functional teams on large-scale projects?

Spatial AI specialists often work closely with data scientists, software engineers, and domain experts to develop and deploy intelligent spatial solutions. Their role involves integrating geospatial data with machine learning models, requiring frequent communication to align on project objectives, data requirements, and deployment strategies. Collaboration is key, especially when interpreting spatial data outputs for non-technical stakeholders and adapting models based on feedback from end users. Strong teamwork skills help ensure that spatial insights are actionable and support broader organizational goals.

What are the key skills and qualifications needed to thrive as a spatial AI engineer, and why are they important?

To excel as a Spatial AI Engineer, you need a solid background in computer vision, machine learning, and spatial data analysis, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as Python, TensorFlow, OpenCV, GIS software, and experience with 3D data processing are commonly required, along with relevant certifications in AI or spatial technologies. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that help bridge technical solutions and real-world applications. These skills enable the development of innovative AI-driven spatial solutions that are accurate, efficient, and effectively meet organizational or client needs.

What is the difference between Spatial Ai vs GIS Analyst?

AspectSpatial AiGIS Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and spatial data processingRequires degree in geography, GIS, or related field; certifications like GISP are common
Work EnvironmentTech-focused, often in software development or data science teamsGovernment agencies, environmental firms, urban planning departments
Industry UsageEmerging in industries leveraging AI for spatial data analysisEstablished in mapping, urban planning, environmental management
Search & Comparison IntentUnderstanding AI-driven spatial analysis rolesTraditional GIS data analysis and mapping roles

Spatial Ai focuses on applying artificial intelligence to spatial data, often involving machine learning and advanced algorithms. GIS Analysts primarily work with geographic information systems to analyze and visualize spatial data. While both roles handle spatial data, Spatial Ai emphasizes AI integration, whereas GIS Analysts focus on traditional GIS tools and methods.

What jobs are available for spatial Ai?

Jobs related to spatial AI include roles such as geospatial data analyst, GIS developer, remote sensing specialist, and spatial data scientist. These positions often require skills in geographic information systems, programming, and data analysis, and may involve working with tools like ArcGIS, QGIS, or Python. Opportunities are available in industries like urban planning, environmental management, transportation, and technology companies focused on location-based services.

What job categories do people searching Spatial Ai jobs in Springfield, VA look for?

The top searched job categories for Spatial Ai jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Spatial Ai jobs?

Cities near Springfield, VA with the most Spatial Ai job openings:

Infographic showing various Spatial Ai job openings in Springfield, VA as of August 2026, with employment types broken down into 73% Full Time, 22% Part Time, and 5% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $128,622 per year, or $61.8 per hour.

GIS Subject Matter Expert (SME) Active (TS/SCI with CI Poly)

Vibrint

Springfield, VA • On-site

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Vibrint is a trusted provider of mission-critical systems and analysis that transform our customers' capacity and capability in harvesting and harnessing data. Working alongside many of the most talented professionals in public service, we work tirelessly to create and sustain new solutions and services that meet the stringent demands across a variety of customer missions.Our people know they will be doing work that matters at the heart of the national security mission, exploring new possibilities at the cutting edge of technology. They know they will be well-rewarded and recognized for their commitment. Our people know they will enjoy plentiful opportunities to grow, thrive, and have fun as a member of the Vibrint family. Join Vibrint, where your career is a priority, and your future is our shared goal.______________________________________________________________________We are seeking an innovative GIS Automation / AI Subject Matter Expert (SME) to support the Government Program Management Office (GPMO) and senior Agency leadership in advancing geospatial automation and GeoAI capabilities. This SME acts as a high-impact force multiplier, identifying opportunities to reduce manual workloads, accelerate production timelines, and introduce advanced analytics that enhance mission effectiveness.Given its limited allocation, this role focuses on targeted, high-value solutions, not routine sustainment. Responsibilities include developing Python or FME-based ETL pipelines for automated ingestion, cleaning, transformation, and scheduled processing of geospatial data. The SME will also research, prototype, and deploy machine-learning and GeoAI models, including object detection, feature extraction, and predictive analytics tailored to mission use cases.The Automation/AI SME identifies workflow bottlenecks and designs streamlined automation tools, assists developers with complex spatial algorithms such as routing, suitability modeling, classification, or spatial optimization, and advises the architect and GPMO on emerging AI frameworks, libraries, and best practices.This position is hands-on, working directly with customers and Senior Leadership to demonstrate new technologies, produce proofs of concept, and guide the adoption of advanced automation and AI methods across the enterprise. Key deliverables include automated ETL scripts, trained GeoAI models, workflow documentation, and prototypes supporting innovation for Source Leadership. Required Skills: 5+ years of experience in GIS automation, geospatial analysis, machine learning, or GeoAI development.Proficient in Python, including common geospatial and ML libraries (ArcPy, GeoPandas, PyTorch, TensorFlow, Scikit-learn, Rasterio).Experience building FME workbenches for ETL automation, data transformation, and scheduled workflows.Demonstrated ability to design and automate geospatial workflows, including data ingestion, cleaning, processing, and validation.Experience prototyping and training machine-learning models, including object detection, classification, clustering, or predictive analytics.Understanding of complex spatial concepts (e.g., topology, routing, suitability modeling, projections, network analysis).Ability to produce clear workflow documentation, proofs of concept, and demos for technical and non-technical audiences.Active TS/SCI and ability to obtain/maintain CI Poly.Desired Skills: Experience supporting NSG/ASG, IC, or DoD GEOINT missions.Familiarity with ArcGIS Enterprise, ModelBuilder, OGC services, and integration of automated scripts into enterprise GIS systems.Experience developing containerized ML models or deploying GeoAI capabilities in cloud environments (AWS preferred).Knowledge of MLOps, automated model retraining pipelines, or data versioning for ML workflows.Experience applying AI to imagery, 3D data, LiDAR, feature extraction, or multi-sensor analytics.Esri, FME, or AI/ML-related certifications. Qualifications: Automation & Scripting Expertise: Proven ability to design, build, and optimize automated geospatial workflows using Python, FME, or equivalent tools, reducing manual processing and improving production timelines.GeoAI & Machine-Learning Proficiency: Demonstrated experience developing prototypes and operational models for object detection, classification, predictive analytics, and other AI-driven mission capabilities.Spatial Algorithm & Optimization Skills: Ability to translate advanced spatial concepts into workable logic for developers, including routing, suitability modeling, and spatial optimization.Innovation & Leadership Engagement: Experience working directly with customers and senior leaders, producing proofs of concept, presenting emerging technologies, and guiding enterprise adoption of AI and automation.Active Top Secret Clearance (SCI and CI/Poly Eligible).___________________________________________________________________Vibrint's comprehensive compensation package includes but is not limited to: competitive salary; annual merit-based salary increases and discretionary bonus program; 401(k) plan with a company contribution; 11 paid federal holidays; 160 hours of paid time off; medical, dental, vision, life and short- & long-term disability insurance; employee assistance program; and a generous professional development allowance. Equal Opportunity Employer:All applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, citizenship, family structure, marital status, disability, veteran or military status, or any other characteristic protected by law in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations.An equal opportunity employer/disability/vet. Policy-Statement_EEO-EmployeesAndCandidates.pdf (vibrint.com).Please apply for immediate consideration.