Low Code AI Engineer

RIVA Solutions Inc.•Reston, VA

3d•$125,000•Remote

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.