Low Code AI Engineer

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.ABILITY.

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.

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.

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.

• 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…