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Remote Computer Science Artificial Intelligence Jobs in Virginia

QCi

... artificial intelligence, cyber security as well as remote sensing applications. Position ... Required Skills and Experience * BS in Computer Science or Industrial Engineering or related field ...

NewGen

Applications Developer

Arlington, VA · On-site +1

Must be able to obtain DHS Suitability * BS Computer Science, Computer Engineering, Computer ... We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

... artificial intelligence will support research and development of new products as well as their ... in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

... artificial intelligence will support research and development of new products as well as their ... in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required ...

NewGen

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Bachelor's degree in Computer Science, Statistics, Data Science, Information Systems or related ... We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the ...

Peraton

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

Automation and Artificial Intelligence solutions * Geospatial ... intelligence technologies * Expertise in: * Photogrammetry * Remote sensing * Image science * GIS ...

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Remote Computer Science Artificial Intelligence information

What is the difference between Remote Computer Science Artificial Intelligence vs Remote Data Science?

AspectRemote Computer Science Artificial IntelligenceRemote Data Science
Required CredentialsBachelor's or higher in Computer Science, AI certificationsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentSoftware development, AI model training, algorithm designData analysis, visualization, statistical modeling
Employer & Industry UsageTech companies, research labs, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

Remote Computer Science Artificial Intelligence roles focus on developing AI algorithms, machine learning models, and software solutions. In contrast, Remote Data Science involves analyzing data, creating visualizations, and deriving insights. While both fields require strong technical skills and often similar educational backgrounds, their core responsibilities differ, making each suitable for different career interests within the tech industry.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Artificial Intelligence professional, and why are they important?

To thrive as a Remote Computer Science Artificial Intelligence professional, you need a strong background in computer science fundamentals, mathematics, machine learning, and programming languages such as Python, often supported by a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems is typically required, along with certifications in AI or data science. Excellent problem-solving, self-motivation, and effective remote communication skills help you stand out in distributed teams. These skills and qualities are crucial for developing robust AI solutions, collaborating virtually, and adapting to fast-evolving technologies.

What are Remote Computer Science Artificial Intelligence jobs?

Remote Computer Science Artificial Intelligence (AI) jobs involve working from a location outside of a traditional office to design, develop, and implement AI systems and algorithms. Professionals in this field use programming, data analysis, and machine learning techniques to solve complex problems in areas such as natural language processing, computer vision, and robotics. These roles often require strong knowledge of mathematics, statistics, and programming languages like Python or Java. Remote AI jobs offer flexibility and the opportunity to collaborate with global teams using digital communication tools.

How do remote Computer Science Artificial Intelligence professionals typically collaborate with team members across different time zones?

Remote AI professionals often work with global teams, requiring strong communication and collaboration skills. Teams frequently use project management tools, shared code repositories, and regular video meetings to stay aligned on goals and progress. Flexibility with meeting times and thorough documentation are essential for ensuring smooth collaboration. Building rapport through virtual channels and actively participating in discussions helps foster a sense of teamwork despite physical distance.
What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Virginia? The most popular types of Computer Science Artificial Intelligence jobs in Virginia are:
What are popular job titles related to Remote Computer Science Artificial Intelligence jobs in Virginia? For Remote Computer Science Artificial Intelligence jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Artificial Intelligence jobs in Virginia look for? The top searched job categories for Remote Computer Science Artificial Intelligence jobs in Virginia are:
What cities in Virginia are hiring for Remote Computer Science Artificial Intelligence jobs? Cities in Virginia with the most Remote Computer Science Artificial Intelligence job openings:
Remote Computer Science Artificial Intelligence jobs near you
Network Infrastructure Architect

Network Infrastructure Architect

Computer World Services

Springfield, VA • On-site, Remote

Full-time

Posted 16 days ago

Job description

Job Description 
The Network Infrastructure Architect provides enterpriselevel architecture, design, and technologystrategy leadership to evolve the Homeland Security Enterprise Network (HSEN) and HQ LANA toward a scalable, interoperable, zerotrust framework. The role shapes a threeyear technology roadmap, conducts proofofconcepts, and ensures all solutions meet DHS enterprise architecture standards, security accreditation (FISMA/NIST80053), and 99.95% availability objectives. 

The objective of the support services for this project is to design, build, and maintain a cloud infrastructure with a focus on network security that supports the organization's technology and business needs. This involves architecting scalable, secure, and highly available cloud solutions, ensuring optimal performance and cost-efficiency in cloud environments such as AWS, Azure, and Google Cloud. The role requires close collaboration with other IT teams, stakeholders, and third-party vendors to deliver cloud-based infrastructure and services that align with organizational goals.
Key Tasks & Responsibilities
  • Architecture & Design 
-Develop HSEN/LANA reference architectures covering WAN/MPLS/SDWAN, campus LAN, wireless, TACACS/ISE, firewalls, and cloud onramps. 
-Produce system design documents, diagrams, IP schemas, and maintain CMDB accuracy. 
-Model traffic, capacity, and failover scenarios; conduct gap analysis. 
  • Technology Strategy & Roadmapping 
-Lead evaluations of emerging technologies and vendor offerings; perform COTS/OSS trade studies. 
-Deliver executive briefings and a rolling threeyear technology roadmap aligned with DHS mission and budget cycles. 
  • Security & Compliance 
-Embed zerotrust, microsegmentation, and IPv6 compliance into all designs. 
-Support ATO renewals by providing architecture artifacts and POA&M responses. 
  • Implementation & Transition Support 
-Develop test plans, oversee lab validation, and provide Tier4 escalation during deployment. 
-Generate transition documentation for NOSC operations teams and deliver knowledgetransfer workshops. 
  • This Role Provides Task Support for: 
-Infrastructure Engineering, Development, Implementation, Integration 
-Enterprise Application Integration 
-Gap Analysis and Benchmarking 
-Data Migration and Integration 
-Acquisition Support 
-Risk Assessment 
-Open-Source Integration 
-Enterprise Data Management 
-Collaboration Tools 
-Business Process Reengineering 
-Test and Evaluation Services 
-Financial Analysis 
-Feasibility Studies 
-Requirements Analysis 
-System Design Alternative (SDA) Studies 
-Architecture Validation and Verification 
Education & Experience  
  • Minimum Qualifications (must have): 
-Master's degree in Computer Science, Electrical Engineering, or related discipline. 
-15+years architecting enterprise WAN/LAN solutions with 5,500 sites and 250,000 users. 

  • Preferred Qualifications: 
-10+years direct support to DHSwide networks. 
-Handson experience with SDWAN, cloud connectivity, and automation (Ansible/Python). 
Certifications
  • Must have an active CCIE (Routing & Switching / Enterprise Infrastructure / Service Provider) certification. 
  • Preferred certifications include: AWS Certified Advanced Networking, Juniper JNCIE, TOGAF, or GIACGSEC. 
Security Clearance  
  • U.S. Citizen with ability to obtain DHS Public Trust / FullScope BI. 
Other (Travel, Work Environment, DoD 8570 Requirements, Administrative Notes, etc.) 
  • Location: National Capital Region; occasional travel (10%) to remote DHS facilities. 
  • Schedule: Standard 40hour week with participation in architecture review boards and afterhours change windows. 
  • Telework: Flexible (up to 50%) based on project phase. 
Computer World Services is an affirmative action and equal employment opportunity employer. Current employees and/or qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, disability, protected veteran status, genetic information or any other characteristic protected by local, state, or federal laws, rules, or regulations.

Computer World Services is committed to the full inclusion of all qualified individuals. As part of this commitment, Computer World Services will ensure that individuals with disabilities (IWD) are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources at [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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