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Ai Application Developer Jobs (NOW HIRING)

AI Application Developer

Washington, DC · On-site

$160K - $200K/yr

ORA_HYBRID Description SAIC is seeking a AI Application Developer that will design, develop, and implement intelligent business applications leveraging Microsoft Azure, Power Platform, and modern AI ...

KPMG is currently seeking a Manager, AI Application Developer to join our Digital Nexus technology organization. Responsibilities: * Design, develop, and deploy AI-enabled applications using .NET ...

Sr AI Application Developer

Concord, NC

$89K - $122K/yr

Mentor and upskill existing developers on AI concepts, patterns, and best practices. Required Skills & Experience * 5+ year of full stack development experience. * Strong software engineering ...

As an AI Application Engineer, you will act as the bridge between semiconductor test engineering workflows and AI systems, enabling step-change improvements in productivity such as: * test program ...

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous ...

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous ...

As an AI Application Engineer, you will act as the bridge between semiconductor test engineering workflows and AI systems, enabling step-change improvements in productivity such as: * test program ...

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous ...

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous ...

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous ...

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous ...

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Ai Application Developer information

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How much do ai application developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for ai application developer in the United States is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $60.58 per hour, depending on experience, location, and employer.

How much does an AI app developer make?

The average salary for an AI application developer ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What is a $900,000 AI job?

A $900,000 AI application developer role is a highly senior position that typically involves designing and implementing advanced artificial intelligence solutions. Such roles often require extensive experience, expertise in machine learning frameworks, and may include leadership responsibilities or working in specialized industries like finance or tech innovation.

What are the key skills and qualifications needed to thrive as an AI Application Developer, and why are they important?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

How much does an AI developer get paid?

AI application developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific frameworks may command higher salaries. Compensation often includes benefits such as bonuses, stock options, and professional development opportunities.

What does an AI app developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to create intelligent features and solutions. Their role involves understanding user needs, developing models, and deploying AI-powered apps in various environments.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
More about Ai Application Developer jobs
What cities are hiring for Ai Application Developer jobs? Cities with the most Ai Application Developer job openings:
What states have the most Ai Application Developer jobs? States with the most job openings for Ai Application Developer jobs include:
Infographic showing various Ai Application Developer job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $109,490 per year, or $52.6 per hour.
AI Application Developer

Other

Posted 14 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 204 rated it services


Job description

SAIC is seeking a AI Application Developer that will design, develop, and implement intelligent business applications leveraging Microsoft Azure, Power Platform, and modern AI services. This role combines software engineering, lowcode development, and applied AI to build scalable solutions that automate processes, enhance analytics, and modernize legacy workflows. The ideal candidate has hands-on experience with Azure cloud services, Power Apps, Power Automate, and AI-driven capabilities such as Azure OpenAI, Cognitive Services, and AI Builder.

Job Duties:

AI & Application Development

  • Design, develop, and deploy AIenabled applications using Azure OpenAI, Azure Cognitive Services, Azure Machine Learning, and Azure Functions. 
  • Develop model-driven and canvas apps using Power Apps, incorporating business logic, workflows, and AI Builder capabilities. 
  • Build and maintain workflows using Power Automate, integrating across Microsoft 365, Dynamics 365, Azure, and thirdparty systems. 
  • Create data-driven solutions using Power BI, Dataverse, Azure SQL, and external connectors.

Cloud Architecture & Integration

  • Architect and maintain cloud solutions using Azure PaaS services such as Azure API Management, Azure Service Bus, Azure Functions, App Services, and Application Insights. 
  • Support integration of enterprise data sources into Azure and Power Platform using secure connectors, APIs, and integration services.
  • Design scalable, secure application components aligned with cloud governance, Zero Trust principles, and enterprise security standards.

Data Management & Analytics

  • Build solutions using Dataverse, SQL, and Azure data services, enabling data ingestion, transformation, and analytics. 
  • Implement data governance, security, and lifecycle management across Azure and Power Platform environments.

Collaboration & Stakeholder Engagement

  • Work with business units and IT stakeholders to translate requirements into scalable solutions.
  • Provide technical guidance on AI, automation, and cloud development best practices.
  • Develop documentation, architecture diagrams, and operational guides.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required:

  • BS and 9+ years of relevant experience (4 years experience in lieu of degree).
  • Ability to obtain and maintain a Public Trust requiring U.S. Citizenship or Green Card.
  • Hands-on experience with Azure AI services, Azure Functions, API Management, Service Bus, and serverless compute.
  • Experience developing solutions with Power Apps, Power Automate, Power BI, and Dataverse.
  • Proficiency in scripting or programming languages (C#, Python, JavaScript).
  • Understanding of cloud security, identity, and access management approaches such as Microsoft Entra ID (Azure AD) roles and governance. 
  • Experience integrating data sources using SQL, REST APIs, and cloud connectors.
  • Strong analytical and problemsolving abilities. Excellent written and verbal communication skills. Ability to collaborate across multidisciplinary teams. Adaptability and eagerness to learn new AI technologies.

Desired:

  • Certifications such as Azure AI Engineer Associate, Power Platform Developer Associate and/or Azure Developer Associate.
  • Experience delivering government cloud solutions (Azure Government) or compliancedriven environments. 
  • Knowledge of enterprise architectural patterns (microservices, serverless, event-driven systems).

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