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Remote Cloud Computing Jobs in Virginia (NOW HIRING)

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... Government Cloud Computing/Government Community Cloud), designed to meet the compliance and ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... Government Cloud Computing/Government Community Cloud), designed to meet the compliance and ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... Government Cloud Computing/Government Community Cloud), designed to meet the compliance and ...

Bridge Core (BCore)

SME Software Engineer

Herndon, VA · Remote

$195K - $225K/yr

This program delivers Enterprise Computing Engineering services with modern technology solutions with that function both on customer premise, and via remote Cloud services. As a mission-focused ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Clearance: * Candidate ...

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All JobsCloud Computing JobsRemote Cloud Computing JobsRemote Cloud Computing Jobs in Virginia

Remote Cloud Computing information

See Virginia salary details

$10

$61

$84

How much do remote cloud computing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote cloud computing in Virginia is $61.18, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $73.41 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in remote cloud computing roles, and how can they be addressed?

Remote cloud computing professionals often encounter challenges related to communication, collaboration across time zones, and ensuring robust security practices when accessing sensitive data remotely. To address these issues, it's important to establish clear communication channels, use collaborative tools like Slack or Microsoft Teams, and follow company security protocols such as VPN usage and multi-factor authentication. Regular check-ins with your team and continuous learning about emerging cloud security trends can also help maintain productivity and safeguard data in a remote environment.

What are the key skills and qualifications needed to thrive as a Remote Cloud Computing professional, and why are they important?

To thrive as a Remote Cloud Computing professional, you need a strong background in IT infrastructure, cloud architecture, and virtualization, typically supported by a degree in computer science or a related field. Familiarity with major cloud platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator, is highly valuable. Excellent problem-solving, communication, and self-management skills help you effectively collaborate and troubleshoot in a distributed work environment. These skills ensure secure, scalable, and efficient cloud solutions that meet organizational needs, especially when working remotely.

Can you work remotely in cloud computing?

Yes, many cloud computing roles are remote, allowing professionals to work from anywhere with internet access. These jobs often require skills in cloud platforms like AWS, Azure, or Google Cloud, and may involve collaboration tools and remote work best practices.

What is remote cloud computing?

Remote cloud computing refers to the delivery of computing services—such as servers, storage, databases, networking, software, and analytics—over the internet instead of using local servers or personal devices. Professionals in this field work from remote locations and help businesses manage, deploy, and maintain cloud-based infrastructure and services. This allows companies to scale resources, improve collaboration, and reduce IT costs while enabling employees to work from anywhere with an internet connection.

Does AWS have any remote jobs?

Yes, AWS offers remote job opportunities across various roles, including cloud engineering, solutions architecture, and support. Many positions require familiarity with AWS services, cloud computing skills, and relevant certifications, and they often support flexible or fully remote work arrangements.

Can you do cloud computing from home?

Remote cloud computing jobs are common and often allow professionals to work from home, provided they have a reliable internet connection, necessary hardware, and access to cloud platforms like AWS, Azure, or Google Cloud. These roles typically require skills in scripting, virtualization, and cloud management tools, and may involve remote collaboration and communication tools.

What is the difference between Remote Cloud Computing vs Remote Cloud Support Specialist?

AspectRemote Cloud ComputingRemote Cloud Support Specialist
Required CredentialsCloud certifications (AWS, Azure, GCP), technical degreesCloud certifications, technical knowledge, customer service skills
Work EnvironmentDesigning, deploying, managing cloud infrastructureProviding technical support, troubleshooting cloud issues
Employer & Industry UsageTech companies, cloud service providers, enterprisesIT support firms, cloud service providers, enterprise IT teams
Common Search & Comparison IntentUnderstanding cloud roles, career paths in cloud computingSupport roles, troubleshooting cloud problems, customer assistance

Remote Cloud Computing involves designing and managing cloud infrastructure, requiring technical certifications and a focus on deployment. In contrast, Remote Cloud Support Specialists focus on troubleshooting and assisting users with cloud issues, emphasizing customer service skills. Both roles are integral to cloud services but differ in responsibilities and skill sets.

Will AI replace cloud computing jobs?

AI is unlikely to fully replace cloud computing jobs, as roles in cloud architecture, management, and security require human expertise and problem-solving skills. Instead, AI tools are expected to augment these roles, making tasks more efficient and enabling professionals to focus on complex issues. Cloud computing professionals should develop skills in automation, scripting, and AI integration to stay relevant.
What are the most commonly searched types of Cloud Computing jobs in Virginia? The most popular types of Cloud Computing jobs in Virginia are:
What are popular job titles related to Remote Cloud Computing jobs in Virginia? For Remote Cloud Computing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Computing jobs in Virginia look for? The top searched job categories for Remote Cloud Computing jobs in Virginia are:
What cities in Virginia are hiring for Remote Cloud Computing jobs? Cities in Virginia with the most Remote Cloud Computing job openings:
Remote Cloud Computing jobs near you
Infographic showing various Remote Cloud Computing job openings in Virginia as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $127,264 per year, or $61.2 per hour.
Low Code AI Engineer

Low Code AI Engineer

RIVA Solutions Inc.

Reston, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Title: Low Code AI Engineer 
Location: Remote within the United States 
Terms: Full-time 
Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public 
Trust investigation 
Travel: 0–10% 

RESULTS. INNOVATION. VALUES. ACCOUNTABILITY. 
That’s RIVA. 

We’re a mission-driven IT services company and systems integrator supporting digital transformation and modernization for Federal government agencies. Since 2009, we’ve partnered with our customers to solve complex challenges through smart, practical innovation to deliver real outcomes where they matter most. Our teams are made up of industry-leading experts who are passionate about doing great work and making a difference. We don’t just develop solutions—we support efforts that strengthen communities and serve the public good.

RIVA’s culture is built on four core values: Results, Innovation, Values, and Accountability. They guide how we work, how we collaborate, and how we measure success. Our employee-first approach is rooted in trust, ownership, and meaningful work. By investing in our people and fostering a flexible, supportive environment, you will have the opportunity to grow your skills, contribute ideas, and make an impact from day one—all while supporting missions that matter.


Program Overview 
RIVA Solutions supports the U.S. Department of Commerce (DOC), International Trade 
Administration (ITA), in establishing and operating an AI Center of Excellence (AI-CoE) 
under the Office of the Chief Information Officer (OCIO). This program advances IT 
modernization by designing, developing, deploying, and maintaining artificial intelligence 
and machine learning solutions that strengthen mission outcomes across the Commerce 
enterprise. 

The AI-CoE provides AI application development, model lifecycle management, data 
engineering, security support, quality assurance, and Agile delivery services that enable 
DOC to mature toward higher levels of operational and technological excellence. RIVA’s 
work ensures that AI tools and systems are reliable, scalable, secure, and aligned with 
federal cloud and data strategies. 

Position Overview 
RIVA Solutions is seeking a Low Code AI Engineer to support the delivery and 
operationalization of AI-enabled solutions using low-code platforms—primarily Microsoft 
Power Platform and Copilot Studio—within the AI Center of Excellence. This role focuses 
on enabling, deploying, integrating, and monitoring AI experiences in Microsoft’s 
specialized government cloud environment (Government Cloud Computing/Government 
Community Cloud), designed to meet the compliance and security needs of Federal, State, 
Local, and Tribal governments. Emphasis is placed on configuration-first development, 
CI/CD, data/content ingestion pipelines, and ongoing operations to ensure reliable 
production performance. 

This position partners closely with technical teams and federal stakeholders to implement 
scalable low-code solutions, establish repeatable delivery patterns, and support the 
knowledge/content lifecycle that powers AI experiences (e.g., ingestion, validation, refresh, 
governance, and monitoring). Traditional, heavy machine learning model development is 
not a primary expectation for this role, though limited support may be required as future 
mission use cases evolve. 
U.S. Citizenship is required, along with the ability to obtain and maintain a federal Public 
Trust investigation. This position is fully remote within the United States. 

Core Responsibilities 
• Enable and deliver low-code AI solutions using Microsoft Power Platform and 
Copilot Studio to support enterprise mission needs. 
• Configure, integrate, and operationalize AI experiences, including connectors, 
workflows, approvals, and automation patterns that support secure enterprise 
adoption. 
• Support cloud delivery within Microsoft’s specialized government cloud 
environment (Government Cloud Computing/Government Community Cloud), 
ensuring solutions align with federal security, compliance, and governance 
requirements. 
• Implement and maintain CI/CD processes for Power Platform/Copilot solutions 
(solution packaging, environment promotions, release management, and 
deployment automation). 
• Build and support data/content ingestion pipelines that prepare and maintain 
knowledge sources for AI experiences (knowledge lifecycle management, 
validation, refresh schedules, and quality checks). 
• Deploy, monitor, and optimize low-code AI solutions in production, including 
telemetry, alerting, performance monitoring, and incident response support. 
• Partner with Data Engineers and platform teams to ensure content and data are 
structured, accessible, and maintained for AI-enabled experiences (without 
requiring heavy feature engineering or predictive modeling). 
• Use Python or lightweight scripting only as needed for function calls, integration 
edge cases, automation gaps, or specialized operational support. 
• Document platform configurations, release procedures, operational runbooks, 
integration patterns, and technical implementation details. 
• Collaborate with AI Developers, Data Engineers, Scrum Masters, and federal 
stakeholders in Agile/Scrum environments. 
• Stay informed on emerging low-code AI capabilities (Power Platform, Copilot Studio, 
governance, and federal cloud guidance) to improve solution quality and 
maintainability. 

Minimum Qualifications 
• Bachelor’s degree or equivalent professional experience. 
• Minimum 2 years of experience delivering low-code solutions, platform 
enablement, automation, or related engineering work (Power Platform/Copilot 
Studio strongly preferred). 
• Experience configuring, deploying, and supporting solutions across multiple 
environments (dev/test/prod), including release and change management practices. 
• Experience with CI/CD concepts and implementation for low-code or platform
based solutions (packaging, deployments, environment strategy, and operational 
monitoring). 
• Experience supporting data/content ingestion, integration, or lifecycle processes 
that enable AI experiences (knowledge management, data preparation workflows, or 
content operations). 
• Strong analytical and problem-solving skills with a delivery-and-operations mindset. 
• U.S. Citizenship required. 
• Ability to obtain and maintain a Federal Public Trust investigation. 

Preferred Qualifications 
• Experience supporting federal government or public-sector technology programs, 
including regulated cloud environments. 
• Hands-on experience with Microsoft Power Platform administration and governance 
(DLP policies, environment strategy, ALM practices, Center of Excellence patterns). 
• Experience with Copilot Studio (bot/agent configuration, integrations/connectors, 
publishing, telemetry/monitoring). 
• Exposure to lightweight scripting (e.g., Python) for integrations, function calling, or 
operational edge needs. 
• Experience with monitoring/observability practices (logging, metrics, alerting, 
dashboards) and operational support for production services. 
• Familiarity with cloud-native services and secure delivery practices within Azure 
ecosystems. 
• Certifications in Power Platform, cloud engineering, or related fields are a plus. 

Salary 
$120K 

RIVA Benefits 
• Paid Time Off / Sick Leave 
• Health, Dental, and Vision Coverage 
• Life Insurance 
• Retirement Benefits / 401K with company matching 
• HSA/FSA Spending Accounts 
• Long- and Short-term Disability 
• Pet Insurance 
• Wellness Program Initiatives 
• RIVA Flex 
• Additional Workplace Benefits 

Equal Opportunity Statement 
RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified 
applicants will receive consideration for employment without regard to race, color, religion, 
sex, sexual orientation, gender identity, national origin, disability, veteran status, or any 
protected class. If you need a reasonable accommodation to search for a job opening or to 
submit an online application, please email accommodations@rivasolutionsinc.com. Only 
messages left for this purpose will be returned.

Apply