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Low Code Ai Developer Jobs (NOW HIRING)

Invenergy is North America's largest privately held developer, owner, and operator of power ... Design, build, deploy and manage low-code AI agents and other complex custom AI solutions, such as ...

Invenergy is North America's largest privately held developer, owner, and operator of power ... Design, build, deploy and manage low-code AI agents and other complex custom AI solutions, such as ...

Invenergy is North America's largest privately held developer, owner, and operator of power ... Design, build, deploy and manage low-code AI agents and other complex custom AI solutions, such as ...

Hands-on with Langflow, n8n, or other low-code AI orchestration tools. * Practical knowledge of ... developer productivity and rapid AI pipeline development in the emerging world of agentic AI. If ...

Low Code Senior Developer

Washington, DC · On-site

$50K - $175K/yr

A3 Technology, Inc. is seeking a Low Code Senior Developer to join our team in Washington, DC. Essential Job Functions: * May work on any customer relationship management or low code tool supported ...

Preferred : • Certifications in AI/ML from Azure or AWS. • Experience with low-code/no-code AI integration tools. • Understanding of DevOps practices for AI/ML model deployment. • Experience ...

AI Engineer

Newark, NJ · On-site

$50K - $75K/yr

Evaluate, implement, and support no-code/low-code AI and automation platforms to streamline ... Proficiency in prompt engineering and context engineering. * Experience with no-code/low-code ...

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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 Sep 10, 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 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 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 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 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.

What are popular job titles related to Low Code Ai Developer jobs?

For Low Code Ai Developer jobs, the most frequently searched job titles are:

Infographic showing various Low Code Ai Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $104,481 per year, or $50.2 per hour.

Manager, Applied AI

Chicago, IL • On-site

Invenergy LLC
Clean Energy Power Generation • 1 - 5K employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Invenergy rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Invenergy is North America's largest privately held developer, owner, and operator of power infrastructure. With 25 years of trusted execution, we deliver reliable, affordable energy through a diverse portfolio that includes natural gas, solar, land-based wind, energy storage, transmission, and domestic manufacturing. Headquartered in Chicago, we develop, own, and operate large scale projects that power communities and support the energy future.

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.

Job Description

Position Overview
The Manager, Applied AI (Enterprise Analytics & AI) is responsible for leveraging enterprise AI tools and platforms to design, build, and deploy practical AI solutions that deliver measurable business impact across the organization. This role works hands-on with individuals and teams to understand their needs, build low-code AI agents and other custom solutions, and enable teams to integrate AI into their workflows effectively and responsibly.


This position serves as an organizational subject-matter expert on enterprise AI platforms, including their capabilities, limitations, and best practices. The role leads the co-development of AI agents and other AI solutions while fostering a culture of responsible AI use and self-sufficiency across the organization.

Invenergy follows a hybrid schedule, working in office Monday through Thursday and remotely on Fridays.


Responsibilities

  • Design, build, deploy and manage low-code AI agents and other complex custom AI solutions, such as multi-agent systems or advanced process automation, in partnership with business teams to address specific organizational needs and use cases.
  • Lead engagement with business teams in one-on-one and small-group settings to understand workflows, identify AI opportunities, and co-develop effective, responsible solutions.
  • Maintain deep familiarity with the full range of capabilities, limitations, and evolving features of the organization's enterprise AI platforms to ensure solutions are thoughtfully designed and maximize available functionality.
  • Oversee the evaluation of third-party AI software applications, assessing organizational fit, capability, security, and responsible AI considerations, and providing recommendations to inform Business Operations decisions.
  • Monitor and analyze organizational AI usage and adoption data; identify trends, gaps, and opportunities, and recommend targeted actions to improve utilization and impact.
  • Partner with the Talent Development team to design, deliver, and continuously improve training content and guidelines that help employees use AI tools effectively and responsibly and support self-service adoption across the organization.
  • Stay current on emerging AI capabilities and platform updates, proactively recommending features and solutions relevant to the organization's evolving needs.
  • Collaborate with Enterprise Analytics & AI data scientists, data engineers, and analytics teams to align end-user AI solutions with broader AI initiatives.
  • Manage one or more employees supporting AI adoption functions at the organization.


Required Qualifications

  • Bachelor's degree in a technical or quantitative field such as computer science, information systems, engineering, data science, or a related discipline.
  • 8+ years of experience within the industry or in a technology function, with significant achievements and upward growth.
  • Demonstrated experience designing, building, or managing AI agents or similar AI-driven solutions.
  • Strong familiarity with the Microsoft ecosystem, including Microsoft 365 and AI-enabled productivity tools.
  • Prior experience leading, mentoring, or managing direct reports, or demonstrated readiness to step into a people leadership role.
  • Ability to communicate complex technical concepts clearly to non-technical audiences, including presenting to senior leadership.
  • Strong independent time-management and project-management skills, with the ability to manage multiple initiatives simultaneously.
  • Proven ability to collaborate effectively across business, technical, and enablement teams.
  • High level of curiosity, enthusiasm for emerging technologies, and a continuous-learning mindset.


Preferred Qualifications

  • Experience managing employees in a technology function.
  • Direct, hands-on experience with Microsoft Copilot Studio, including designing and deploying enterprise AI agents or low-code AI solutions.
  • Experience supporting enterprise technology adoption, enablement, or change initiatives.
  • Experience developing or delivering technical training or learning content for broad employee audiences.
  • Familiarity with responsible AI practices, governance, security, or compliance considerations in an enterprise environment.
  • Experience partnering with data science, analytics, or engineering teams to translate advanced AI capabilities into user-facing solutions.
  • Exposure to Microsoft Power Platform, Azure AI services, Databricks, or related tools that complement enterprise AI solutions.
  • Proficiency in coding languages such as Python or SQL.

Base Pay

134,000.00 - 155,000.00 USD Annual

Bonus: 25% - 40%

The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, paid time off, etc.

Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.


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