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Remote Cloud Computing Trainee Jobs in Virginia (NOW HIRING)

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 ...

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Remote Cloud Computing Trainee information

What are some common challenges faced by remote cloud computing trainees, and how can they be addressed?

Remote Cloud Computing Trainees often encounter challenges such as adapting to rapidly evolving cloud technologies and maintaining effective communication with distributed teams. To address these issues, it's important to actively participate in virtual meetings, leverage collaborative tools, and regularly seek feedback from mentors. Staying up-to-date with cloud platform updates through continuous learning and certification programs can also help trainees stay competitive and confident in their roles.

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

AspectRemote Cloud Computing TraineeCloud Support Specialist
Required CredentialsBasic IT certifications, training programsCertifications like AWS, Azure, or Google Cloud; experience preferred
Work EnvironmentTraining environment, often remote or in-officeCustomer support, troubleshooting, remote or on-site
Industry UsageEntry-level, learning phaseOperational support, ongoing maintenance
Search & Comparison IntentLearning, entry-level rolesSupport, troubleshooting, customer service

The Remote Cloud Computing Trainee is an entry-level position focused on learning cloud technologies, often requiring basic certifications and training. In contrast, a Cloud Support Specialist is a more experienced role involving troubleshooting and supporting cloud services, often requiring relevant certifications and hands-on experience. Both roles are integral to cloud service providers but differ mainly in experience level and responsibilities.

What is a remote cloud computing trainee?

Remote Cloud Computing Trainees are individuals who are learning the fundamentals of cloud computing while working from a remote location. They typically participate in training programs or internships designed to teach them about various cloud platforms, such as AWS, Azure, or Google Cloud. Their tasks may include setting up virtual servers, managing cloud resources, and learning about cloud security and deployment practices. This role is ideal for those looking to start a career in cloud technology, as it provides hands-on experience and foundational knowledge in a flexible, remote environment.

What are the key skills and qualifications needed to thrive as a remote cloud computing trainee, and why are they important?

To thrive as a Remote Cloud Computing Trainee, you need foundational knowledge in computer science, networking, and cloud concepts, often gained through a relevant degree or coursework. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as basic understanding of virtualization, scripting, and certification courses like AWS Certified Cloud Practitioner, is highly beneficial. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills in a remote learning environment. These skills are important because they enable trainees to efficiently learn cloud technologies, collaborate remotely, and adapt to the evolving demands of cloud-based roles.
What are the most commonly searched types of Cloud Computing Trainee jobs in Virginia? The most popular types of Cloud Computing Trainee jobs in Virginia are:
What are popular job titles related to Remote Cloud Computing Trainee jobs in Virginia? For Remote Cloud Computing Trainee jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Remote Cloud Computing Trainee jobs? Cities in Virginia with the most Remote Cloud Computing Trainee job openings:

Low Code AI Engineer

RIVA Solutions Inc.

Reston, VA โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 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: 0โ€“10% 

RESULTS. INNOVATION. VALUES. ACCOUNTABILITY. 
Thatโ€™s RIVA. 

Weโ€™re a mission-driven IT services company and systems integrator supporting digital transformation and modernization for Federal government agencies. Since 2009, weโ€™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 donโ€™t just develop solutionsโ€”we support efforts that strengthen communities and serve the public good.

RIVAโ€™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 oneโ€”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. RIVAโ€™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 platformsโ€”primarily Microsoft 
Power Platform and Copilot Studioโ€”within the AI Center of Excellence. This role focuses 
on enabling, deploying, integrating, and monitoring AI experiences in Microsoftโ€™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 
โ€ข Enable and deliver low-code AI solutions using Microsoft Power Platform and 
Copilot Studio to support enterprise mission needs. 
โ€ข Configure, integrate, and operationalize AI experiences, including connectors, 
workflows, approvals, and automation patterns that support secure enterprise 
adoption. 
โ€ข Support cloud delivery within Microsoftโ€™s specialized government cloud 
environment (Government Cloud Computing/Government Community Cloud), 
ensuring solutions align with federal security, compliance, and governance 
requirements. 
โ€ข Implement and maintain CI/CD processes for Power Platform/Copilot solutions 
(solution packaging, environment promotions, release management, and 
deployment automation). 
โ€ข 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). 
โ€ข Deploy, monitor, and optimize low-code AI solutions in production, including 
telemetry, alerting, performance monitoring, and incident response support. 
โ€ข 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). 
โ€ข Use Python or lightweight scripting only as needed for function calls, integration 
edge cases, automation gaps, or specialized operational support. 
โ€ข Document platform configurations, release procedures, operational runbooks, 
integration patterns, and technical implementation details. 
โ€ข Collaborate with AI Developers, Data Engineers, Scrum Masters, and federal 
stakeholders in Agile/Scrum environments. 
โ€ข 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 
โ€ข Bachelorโ€™s degree or equivalent professional experience. 
โ€ข Minimum 2 years of experience delivering low-code solutions, platform 
enablement, automation, or related engineering work (Power Platform/Copilot 
Studio strongly preferred). 
โ€ข Experience configuring, deploying, and supporting solutions across multiple 
environments (dev/test/prod), including release and change management practices. 
โ€ข Experience with CI/CD concepts and implementation for low-code or platform
based solutions (packaging, deployments, environment strategy, and operational 
monitoring). 
โ€ข Experience supporting data/content ingestion, integration, or lifecycle processes 
that enable AI experiences (knowledge management, data preparation workflows, or 
content operations). 
โ€ข Strong analytical and problem-solving skills with a delivery-and-operations mindset. 
โ€ข U.S. Citizenship required. 
โ€ข Ability to obtain and maintain a Federal Public Trust investigation. 

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

Salary 
$120K 

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