> Markdown version of [/jobs/ext/167181-low-code-ai-engineer](https://www.wearedevelopers.com/jobs/ext/167181-low-code-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Low Code AI Engineer

- **Company:** RIVA Solutions, Inc.
- **Location:** Reston, VA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Engineering, System Configuration, Continuous Integration, Data Cleansing, Python (Programming Language), Knowledge Management, Machine Learning, Scrum Methodology, Release Management, Systems Integration, Data Logging, Cloud Platform System, Feature Engineering, Data Ingestion, Deployment Automation, Performance Monitor, Low-code, Serverless Computing
- **Published:** May 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=40b3f61e63b399f0

## About the Role

Do you have experience in Knowledge management?, Do you have a Bachelor's degree?, 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., 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.

## Description

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, 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.


## Related Videos

- [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai)
- [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector)
- [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more)
- [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain)
- [RPA crash course for .Net developers – intro into the world of RPA from the perspective of a .Net developer](https://www.wearedevelopers.com/videos/271-rpa-crash-course-for-net-developers-intro-into-the-world-of-rpa-from-the-perspective-of-a-net-developer)
- [What If Apps Built Themselves? AI-Powered Low-Code for the Industrial Enterprise](https://www.wearedevelopers.com/videos/2079-what-if-apps-built-themselves-ai-powered-low-code-for-the-industrial-enterprise)

## Related Articles

- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)