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Remote Smart Home Engineer Jobs in Washington (NOW HIRING)

ABB

Commercial Proposal Engineer

Washington, DC · Remote

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... Partner closely with factory proposal teams, application engineers, product managers, and Sales ...

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

Flexible remote work environment * Additional benefits like flexible hours, work travel ... Ifyou' repassionate,curiousand ready to "work smart and get things done,"we'dlove to hear from you.

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Flexible remote work environment * Additional benefits like flexible hours, work travel ... Ifyou'repassionate,curiousand ready to "work smart and get things done,"we'dlove to hear from you.

i4DM

Dynamics 365 Developer

Millersville, MD · On-site +1

... home with us. Veterans and military spouses are especially encouraged to bring your unique and ... In this fully remote role, our projects require our team members to identify challenges and offer ...

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

Flexible remote work environment  * Additional benefits like flexible hours, work travel ... If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from ...

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Remote Smart Home Engineer information

How does a remote smart home engineer typically collaborate with on-site teams and clients during installations or troubleshooting?

As a Remote Smart Home Engineer, collaboration with on-site technicians and clients is often managed through video calls, remote desktop tools, and cloud-based project management platforms. You’ll frequently guide installers step-by-step, perform remote diagnostics, and adjust smart home system configurations from your location. Clear communication and documentation are essential to ensure seamless integration and to resolve issues efficiently. Building strong rapport with both technical and non-technical stakeholders is key to providing excellent service and ensuring project success.

What are the key skills and qualifications needed to thrive as a remote smart home engineer?

To thrive as a Remote Smart Home Engineer, you need a solid background in electrical engineering, networking, and IoT technologies, often supported by a relevant degree or technical certification. Proficiency with smart home platforms (such as Google Home, Amazon Alexa, or Apple HomeKit), home automation protocols (like Zigbee or Z-Wave), and remote diagnostic tools is typically required. Exceptional problem-solving, communication, and customer service skills help you resolve technical issues efficiently while guiding clients remotely. These skills ensure the reliable integration and support of smart home systems, resulting in high customer satisfaction and robust system performance.

What is a remote smart home engineer?

A Remote Smart Home Engineer is a professional who designs, installs, configures, and supports smart home systems such as lighting, security, climate control, and entertainment devices, often working from a remote location. They leverage technology to help homeowners automate and control devices via smartphones, voice assistants, or central hubs. Their responsibilities may include troubleshooting issues, recommending compatible devices, and ensuring system security. By working remotely, these engineers can provide support and guidance to clients without needing to be physically present in the home.
What are popular job titles related to Remote Smart Home Engineer jobs in Washington? For Remote Smart Home Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Smart Home Engineer jobs in Washington look for? The top searched job categories for Remote Smart Home Engineer jobs in Washington are:
What cities in Washington are hiring for Remote Smart Home Engineer jobs? Cities in Washington with the most Remote Smart Home Engineer job openings:
Remote Smart Home Engineer jobs near you

Low Code AI Engineer

RIVA Solutions Inc.

Reston, VA • Remote

Full-time

Re-posted 17 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: 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).  

•

•

Apply