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Low Code Ai Developer Jobs (NOW HIRING)

Low Code AI Engineer

Reston, VA · Remote

$101.40K - $138.90K/yr

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 ...

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 ...

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 ...

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 ...

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 ...

The Low Code AI Engineer will support the International Trade Administration (ITA) AI Center of ... Utilize Government-provided DevOps and cloud platforms. * Produce clear technical documentation ...

The Low Code AI Engineer will support the International Trade Administration (ITA) Artificial ... Utilize Government-provided DevOps and cloud platforms to support AI/ML initiatives. * Produce ...

Design, develop, and deploy AI solutions using both code-first development and low-code/no-code ... Engineer and fine-tune prompts for large language models (LLMs) and integrate foundation models and ...

The Low Code AI Engineer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large ...

The Low Code AI Engineer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large ...

AI Engineer

Washington, DC · On-site

$110K - $115K/yr

The Low Code AI Engineer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large ...

... low-code AI workflows, and build intelligent solutions using technologies like Agentic AI ... ServiceNow Engineering: Develop scalable and maintainable applications and workflows within the ...

Low-Code Senior Developer

Washington, DC

$61.75 - $81.50/hr

Low-Code Senior Developer Job Type: Hybrid - Full-Time- Washington DC Experience Level: Senior We are hiring a Low-Code Senior Developer to support enterprise modernization initiatives in an ...

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Low Code Ai Developer information

See salary details

$73.5K

$104.5K

$148K

How much do low code ai developer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for low code ai developer in the United States is $104,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Low Code AI Developer, and why are they important?

To thrive as a Low Code AI Developer, you need a solid understanding of software development principles, AI concepts, and experience with low-code platforms, often supported by a degree in computer science or a related field. Familiarity with tools like Microsoft Power Platform, Mendix, or OutSystems, as well as certifications in these platforms, is highly valuable. Problem-solving, creativity, and strong communication skills help developers translate business needs into functional applications and collaborate with stakeholders. These skills and qualifications are crucial for efficiently building scalable AI-driven solutions that meet organizational goals.

What are the typical challenges faced by Low Code AI Developers when integrating AI models into business applications?

Low Code AI Developers often encounter challenges when connecting pre-built AI models with existing business workflows, especially when data sources are diverse or legacy systems are involved. Ensuring that AI-powered features are both accurate and compliant with company policies can also be demanding. Additionally, balancing the ease-of-use offered by low-code platforms with the customization required for advanced AI solutions may require creative problem-solving and close collaboration with data scientists and business stakeholders.

What is a Low Code AI Developer?

A Low Code AI Developer is a professional who uses low-code platforms to design, build, and deploy artificial intelligence (AI) solutions with minimal hand-coding. These developers leverage visual interfaces and pre-built components to create applications that integrate AI features such as data analysis, predictions, and automation. This approach allows for faster development cycles and enables people with limited coding experience to participate in AI solution development. Low Code AI Developers often work closely with business stakeholders to rapidly prototype and deliver intelligent applications that address specific organizational needs.

What is the difference between Low Code Ai Developer vs Data Scientist?

AspectLow Code Ai DeveloperData Scientist
Required CredentialsTypically certifications in AI platforms, coding knowledge, and sometimes a degree in CS or related fieldsUsually a degree in Data Science, Statistics, or Computer Science; often requires advanced analytics certifications
Work EnvironmentCollaborates with business teams, uses low-code platforms, and focuses on rapid deploymentAnalyzes complex data sets, builds models, and often works in research or analytics teams
Industry UsageUsed in business automation, product development, and AI application deploymentApplied in research, predictive modeling, and data analysis across industries

While both roles involve AI and data, Low Code Ai Developers focus on creating AI solutions using low-code tools with less emphasis on deep data analysis, whereas Data Scientists perform complex data analysis and model building, often requiring advanced statistical skills.

Infographic showing various Low Code Ai Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,481 per year, or $50.2 per hour.
Low Code AI Engineer

Low Code AI Engineer

RIVA Solutions Inc.

Reston, VA • Remote

$101.40K - $138.90K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 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-rst approach has manifested a culture that attracts the best

and brightest. By investing in people rst and providing a exible 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 Oice of the Chief Information Oicer (OCIO). This program advances IT

modernization by designing, developing, deploying, and maintaining articial 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-primarilyMicrosoft

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 conguration-rst 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.

Congure, integrate, and operationalize AI experiences, including connectors,

workows, 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 congurations, 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 Qualications



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 conguring, 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 workows, 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 Qualications





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 conguration, 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.

Certications in Power Platform, cloud engineering, or related elds are a plus.

Salary

$120K

RIVA Benets











Paid Time O / Sick Leave

Health, Dental, and Vision Coverage

Life Insurance

Retirement Benets / 401K with company matching

HSA/FSA Spending Accounts

Long- and Short-term Disability

Pet Insurance

Wellness Program Initiatives

RIVA Flex

Additional Workplace Benets

Equal Opportunity Statement

RIVA Solutions is an Equal Opportunity/Airmative Action employer. All qualied

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 accommodations@rivasolutionsinc.com. Only

messages left for this purpose will be returned.