R
Low Code AI Engineer
RIVA Solutions Inc.
- Location
- Remote (Reston, Virginia)
- Compensation
- $120k - $120k/yr
- Employment
- Full-time
- Level
- Mid Level
Posted 1 day ago
About the Role
RIVA Solutions supports the U.S. Department of Commerce in establishing and operating an AI Center of Excellence. This role focuses on delivering and operationalizing low-code AI solutions within a federal government cloud environment.
Skills
Microsoft Power Platform
Copilot Studio
CI/CD
Python
Data Ingestion Pipelines
Azure
Agile/Scrum
Government Cloud Computing
ALM Practices
Telemetry and Monitoring
Knowledge Lifecycle Management
Low-Code Development
Benefits
- Paid Time Off
- Sick Leave
- Health Coverage
- Dental Coverage
- Vision Coverage
- Life Insurance
- Retirement Benefits
- 401K With Company Matching
- HSA/FSA Spending Accounts
- Long-term Disability
- Short-term Disability
Perks
- Pet Insurance
- Wellness Program
- Riva Flex
- Remote OK
Full job details
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. Our employee-first approach has manifested a culture that attracts the best
and brightest. By investing in people first and providing a flexible work environment, our
employees have higher morale, higher productivity rates, and lower turnover. At RIVA,
people are our #1 priority.
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 [email protected]. Only
messages left for this purpose will be returned.
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