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Spatial Ai Jobs in Springfield, VA (NOW HIRING)

Spatial Front, Inc.

Modernization SME

Arlington, VA

$80K - $150K/yr

Description Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces awardee and Washington ... no-code delivery, AI/automation, data quality improvement, and help desk optimization. The ...

Spatial Front, Inc.

Modernization SME

Arlington, VA · On-site

$80K - $150K/yr

Job Type Full-time Description Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces ... no-code delivery, AI/automation, data quality improvement, and help desk optimization. The ...

Bespoketechinc

AI Data Pipeline Engineer

Reston, VA · On-site

$119K - $143K/yr

BT-326 - AI Data Pipeline Engineer Skill Level: Senior Principal Location: Reston, VA MUST HAVE A ... Spatial * JSON (including JSON Relational Duality) * Graph #J-18808-Ljbffr

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

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. • Produce data science ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

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. • Produce data science ...

Spatial Front, Inc.

ServiceNow Developer

Bethesda, MD · 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 ...

Spatial Front, Inc.

ServiceNow Developer

Bethesda, MD · 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 ...

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All JobsSpatial Ai JobsSpatial Ai Jobs in Springfield, VA

Spatial Ai information

See Springfield, VA salary details

$105K

$128.6K

$159.8K

How much do spatial ai jobs pay per year?

As of Sep 11, 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:

Spatial Ai jobs near you
Infographic showing various Spatial Ai job openings in Springfield, VA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $128,622 per year, or $61.8 per hour.

Modernization SME

Arlington, VA

Spatial Front, Inc.
IT Services • 51 - 200 employees
Learn more about Spatial Front, Inc.external

$80K - $150K/yr

Full-time

Re-posted 26 days ago

Job description

Description


Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces awardee and Washington Top Workplaces honoree, is seeking a Modernization SME and ART lead to support our growing team.  This role is ideal for a senior modernization leader with deep experience in enterprise platform transformation involving PeopleSoft modernization. The selected candidate will serve as a key modernization lead and will likely help manage the modernization agile release train, driving an integrated modernization approach across multiple workstreams such as modernization and innovation, PeopleSoft technology uplift, DevSecOps and SAFe enablement, technical debt reduction, low-code/no-code delivery, AI/automation, data quality improvement, and help desk optimization.
 

The successful candidate will bring both strategic vision and hands-on credibility, with the ability to assess legacy environments, shape a realistic modernization roadmap, guide enterprise transformation decisions, and help deliver measurable outcomes in security, scalability, user experience, and operational efficiency. This role is highly collaborative and requires regular engagement with program leadership, architects, product, and engineering teams, functional stakeholders, operations teams, and Government leadership.

As a valued member of the SFI team, you will play a critical role in delivering mission-critical capabilities to our Federal Government customers.


Work Location: On-site/Hybrid, Arlington, VA 


Key Responsibilities:

  • Serve as a senior modernization advisor, aligning initiatives across architecture, engineering, operations, and business stakeholders.
  • Define and refine the modernization strategy and roadmap for large enterprise platforms, including sequencing, dependencies, and transition planning.
  • Lead modernization efforts across core areas, such as PeopleSoft technology uplift, de-customization, technical debt reduction, cloud readiness, low-code/no-code modernization, AI/automation enablement, data quality improvement, DevSecOps, and help desk optimization.
  • Provide deep expertise in PeopleSoft modernization, including upgrades, PUM strategy, environment uplift, integration modernization, platform stabilization, and long-term sustainment planning.
  • Support modernization of operational support models, including service desk optimization, root cause analysis, monitoring, knowledge management, and continuous improvement.
  • Assess current-state IT systems and architectures to develop actionable modernization roadmaps and recommendations.
  • Collaborate with program leadership, architects, and government stakeholders to define strategies and priorities.
  • Lead modernization planning activities, including business case development, risk assessment, and transition planning.
  • Evaluate and recommend modernization technologies, platforms, and methodologies.
  • Develop documentation such as strategy papers, roadmaps, and executive briefings.
  • Provide thought leadership on federal IT modernization trends and best practices.
  • Perform other duties as assigned.

Requirements

  • Bachelor's in Computer Science, Engineering, or related field.
  • 7+ years of legacy modernization, 5 years of transformation projects.
  • Experience with PeopleSoft environments 
  • Demonstrated expertise in: Legacy system analysis, modernization strategies, and architecture transformation.
  • Experience with PeopleSoft de-customization and simplification of heavily customized platforms, low code/no code, or automation and technical debt reduction and platform stabilization. 
  • Must be a U.S. Citizen.
  • Must possess an active Secret security clearance or be able to obtain one.

Desired Skills:

  • TOGAF, or equivalent modernization/architecture certification.
  • PeopleSoft certifications.
  • Experience in modernizing PeopleSoft.
  • Experience with PeopleTools, PUM, and upgrades planning, environment strategy, and integration modernization.
  • Knowledge of OCI and DevSecOps toolchains.
  • Experience leading IT modernization programs within DoD or federal agencies.
  • Experience with legacy system migration and application modernization patterns. 

Additional Information:

  • Clearance: Must be a U.S. Citizen with an active Secret security clearance or the ability to obtain one.
  • Work Environment: On-site as required by the contract.
  • This is a full-time, W2 position.
  • No agencies, third parties, or Corp-to-Corp submissions.
  • Spatial Front Inc. is an Equal Opportunity Employer - all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status.
  • SFI participates in E-Verify.

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