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Spatial Ai Jobs in Springfield, VA (NOW HIRING)

Software Engineer, AI Agents & Generative AI

Herndon, VA ยท On-site

$146K - $195K/yr

  • Retirement

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... We are an AI-native, agentic intelligence platform built from the ground up to operate at planetary ...

Spatial Front, Inc. is seeking a Data Scientist to support our growing team. The ideal candidate ... recommend AI/ML tools, frameworks, and platforms for program use. โ€ข Produce data science ...

Job Summary : Spatial Front, Inc. (SFI) is a recognized workplace seeking a Data Scientist to ... recommend AI/ML tools, frameworks, and platforms for program use. โ€ข Produce data science ...

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

New

Oracle AI Application Engineer

Reston, VA ยท Hybrid

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree Nice If You Have: * 3+ years of experience with OCI services and cloud-native architecture patterns, including Compute, Oracle 26ai, AI Database Agent Factory, Spatial and Spatial ...

ServiceNow Developer

Bethesda, MD ยท On-site +1

$90K - $140K/yr

Job Type Full-time Description Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces ... AI Ops, App Engine Studio * Workflow Automation: Must be experienced in creating workflows using ...

Oracle AI Application Engineer

Reston, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree Nice If You Have: * 3+ years of experience with OCI services and cloud-native architecture patterns, including Compute, Oracle 26ai, AI Database Agent Factory, Spatial and Spatial ...

ServiceNow Developer

Bethesda, MD ยท Hybrid

$90K - $140K/yr

Description Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces awardee and Washington ... AI Ops, App Engine Studio * Workflow Automation: Must be experienced in creating workflows using ...

Showing results 21-40

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.

Software Engineer, AI Agents & Generative AI

MAXAR TECHNOLOGIES, INC.

Herndon, VA โ€ข On-site

$146 - $214.50/hr

Other

Retirement

Re-posted 24 days ago


Job description

## Software Engineer, AI Agents & Generative AIApplylocations: Herndon, VA: Remote (United States)time type: Full timeposted on: Posted Yesterdayjob requisition id: R23498Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate whatโ€™s happening now and shape whatโ€™s coming next. Vantor is a place for problem solvers, changemakers, and go-gettersโ€”where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.*Export Control/ITAR:* Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).**Please review the job details below.**### **Team Overview:** Insights is redefining how the world understands whatโ€™s happening on Earth. We are an AI-native, agentic intelligence platform built from the ground up to operate at planetary scale โ€“ transforming vast streams of geospatial data into predictive signals that matter. Powered by cutting-edge Google Cloud infrastructure, frontier Gen AI models, and collaboration with Google Research on next-generation Earth AI, we are pushing the boundaries of how AI can help enterprise see, reason about, and act on.### Our mission is clear: deliver decision superiority in moments that matter. From national security to global enterprise operations, our platform provides contextual spatial awareness and anticipatory threat detection for customers operating in high-stakes environments. This is not incremental AI โ€“ this is intelligence engineered for global impact.### Responsibilities* ### Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.* ### Implement multi-agent workflows using modern orchestration frameworks (e.g., Google ADK, LangChain, LangGraph) to enable autonomous reasoning, planning, and execution.* ### Integrate state-of-the-art Large Language Models (GPT-4, Claude, Gemini, etc.) to power contextual analysis, hypothesis generation, and adaptive decision-making.* ### Engineer agents capable of dynamic tool use, structured reasoning, and iterative self-refinement to improve insight quality over time.* ### Develop robust data ingestion and transformation layers to support pattern-of-life, detection, anomaly identification, and predictive analytics* ### Ensure secure, scalable integrations across cloud and enterprise environments.* ### Create feedback loops and reinforcement mechanisms to iteratively improve model reliability and operational trustworthiness.* ### Deploy and operate AI systems in production using modern DevOps practices (containerization, orchestration, CI/CD).* ### Leverage AI development agents (e.g., Codex, Gemini CLI, Claude Code) as force multipliers for software design, implementation, testing, and documentation.* ### Contribute to shared engineering standards, documentation, and best practices for AI-first development.### Minimum Qualifications* ### Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field. Advanced degrees are preferred but not required.* ### Must be a U.S. Citizen* ### 7 years of proven experience in a relevant technology domain, with preference for Software engineer and AI/ML* ### โ€˜Strong understanding of technical concepts related to managing cloud-based data and machine learning pipelines (e.g., AWS or GCP)* ### Significant software development experience with Python, JavaScript, or similar### Preferred Skills* ### Familiarity with **vector databases, embeddings, and retrieval-augmented generation(RAG)** architectures.* ### Knowledge of **distributed systems design** and high-availability architectures supporting global-scale workloads.* ### Leverages AI for team velocity and upskilling, including using AI-assisted development heavily, prototyping quickly, automating repetitive engineering tasks and moving faster than traditional SWE teams.* ### Excellent communication and interpersonal skills* ### Ability to work independently and collaboratively with remote and/or geographically distributed teams* ### Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously### **Pay Transparency:** To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidateโ€™s experience, expertise, and alignment with the role.โ— The base pay for this position within Colorado is: $146,000.00 - $195,000.00 - $214,500.00 annually.### ### โ— The base pay for this position within New Jersey is: $146,000.00 - $195,000.00 - $214,500.00 annually.### ### โ— The base pay for this position within Delaware is: $146,000.00 - $195,000.00 - $214,500.00 annually.# โ— The base pay for this position within the Washington, DC metropolitan area is: $161,000.00 - $215,000.00 - $236,500.00 annually.### ### โ— The base pay for this position within California is: $168,000.00 - $224,000.00 - $246,400.00 annually.### ### For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.**Benefits:** Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careersAdditionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.The date of posting can be found on Vantor's Career page at the top of each job posting.To apply, submit your application via Vantor's Career page.**EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.** #J-18808-Ljbffr

Maxar Technologies logo

About Maxar Technologies

Sourced by ZipRecruiter

Maxar Technologies, headquartered in Denver, CO, US, is a space technology company established in 1969. Operating in the Aerospace Industry, Maxar's key areas of business include Earth Intelligence and Space Infrastructure. The products they offer are critical for global communications, environmental monitoring, national security, intelligence operations, disaster response, and more. Passionate about unlocking the potential of space, Maxar's mission is "to build a better world by harnessing space technology". The company prides itself on advancing state-of-the-art technology, delivering exceptional customer service, and driving growth.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Denver, CO, US

Year founded

1969