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Ai Integration Engineer Jobs in Oklahoma (NOW HIRING)

Credence

$162K/yr

We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced ... Credence has an immediate need for a Systems Integration Engineer B-52 Div (WBD) at the senior ...

Accenture

We embed innovation, intelligence, andAI-nativeoperationsinto the way the world designs, engineers ... Design future-state process specifications covering AI integration points, operating model changes ...

Pwc

AI Engineer

Tulsa, OK · On-site

$50K - $112K/yr

... Integrating data from various sources to create unified views for analysis - Building and ... AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

Global Payments

AI Engineer

Oklahoma City, OK · On-site

We are seeking a highly skilled and forward-thinking AI Engineer to join our AI Engineering team ... Integrate vector databases (e.g., PGVector) and LLM orchestration tools to support retrieval and ...

System One

AI Systems Engineer

Tulsa, OK · On-site

Build APIs, backend services, and integrations that support AI workflows * Assist in developing ... Strong programming experience with Python and backend development concepts * Familiarity with ...

System One

AI Systems Engineer

Tulsa, OK · On-site

Build APIs, backend services, and integrations that support AI workflows * Assist in developing ... Strong programming experience with Python and backend development concepts * Familiarity with ...

System One Holdings, LLC

AI Systems Engineer

Tulsa, OK · On-site

Build APIs, backend services, and integrations that support AI workflows * Assist in developing ... Strong programming experience with Python and backend development concepts * Familiarity with ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

Data Engineering & Integration * Design, develop, and maintain enterprise data pipelines, data ... AI & Intelligent Automation * Identify opportunities to eliminate manual processes through ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Data Engineering & Integration * Design, develop, and maintain enterprise data pipelines, data ... AI & Intelligent Automation * Identify opportunities to eliminate manual processes through ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$140 - $180/hr

Data Engineering & Integration Design, develop, and maintain enterprise data pipelines, data models ... AI & Intelligent Automation Identify opportunities to eliminate manual processes through automation ...

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All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Oklahoma

Ai Integration Engineer information

See Oklahoma salary details

$41.1K

$114.7K

$160.2K

How much do ai integration engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai integration engineer in Oklahoma is $114,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $129,300.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Oklahoma?

For Ai Integration Engineer jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Ai Integration Engineer jobs in Oklahoma look for?

The top searched job categories for Ai Integration Engineer jobs in Oklahoma are:

What cities in Oklahoma are hiring for Ai Integration Engineer jobs?

Cities in Oklahoma with the most Ai Integration Engineer job openings:

Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 62% Full Time, 21% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,747 per year, or $55.2 per hour.

Senior MuleSoft Developer / MuleSoft Integration Developer

Oklahoma City, OK • On-site

Camelot Integrated Solutions Inc
Software Development • 11 - 50 employees
Learn more about Camelot Integrated Solutions Incexternal

Other

Posted 9 days ago

Job description

Senior MuleSoft Developer

We are seeking an experienced Senior MuleSoft Developer / MuleSoft Integration Developer to design, develop, and support enterprise integration solutions using the MuleSoft Anypoint Platform. The ideal candidate will have strong expertise in API development, DataWeave, RAML, RESTful services, event-driven architecture, cloud integration, and DevOps practices.

The candidate will work closely with business, product, architecture, and engineering teams to deliver scalable integration solutions supporting enterprise applications, digital transformation, and cloud initiatives.

  • Design, develop, test, deploy, and maintain integration solutions using MuleSoft Anypoint Platform.

  • Develop reusable APIs and integration flows using DataWeave, RAML, REST, JSON, XML, and Java.

  • Design and implement enterprise API architectures following integration and API management best practices.

  • Integrate enterprise applications including ERP, CRM, HCM, SAP, and Salesforce.

  • Implement event-driven integrations using Kafka, RabbitMQ, Azure Event Hub, or AWS Kinesis.

  • Develop secure integrations using authentication, authorization, encryption, API governance, and security best practices.

  • Build and maintain CI/CD pipelines using Git and DevOps tools.

  • Work with AWS and other cloud platforms to implement cloud-based integration patterns.

  • Collaborate with architects, developers, product owners, and business stakeholders in an Agile/Scrum environment.

  • Participate in enterprise digital transformation initiatives involving system modernization and connectivity.

  • Troubleshoot production integration issues, perform root-cause analysis, and implement permanent solutions.

  • Contribute to API governance, reusable integration frameworks, technical documentation, and development standards.

  • Support cloud-native architectures involving microservices, containers, Docker, and Kubernetes.

  • Contribute to initiatives that incorporate AI/ML capabilities into enterprise integration workflows.

Required Qualifications

  • 4 8 years of professional experience in API, integration, or middleware development.

  • Strong hands-on experience with MuleSoft Anypoint Platform.

  • Strong proficiency in:

    • DataWeave

    • RAML

    • REST APIs

    • JSON

    • XML

    • Java

    • Groovy

  • Experience designing and implementing enterprise integration solutions.

  • Strong understanding of API design principles, API management, and integration patterns.

  • Experience with event-driven architecture and messaging platforms such as Kafka or RabbitMQ.

  • Experience with AWS services and cloud-based integration architectures.

  • Hands-on experience with Git, CI/CD, and DevOps practices.

  • Knowledge of integration security, authentication, authorization, and API governance.

  • Experience integrating with enterprise applications such as SAP, Salesforce, ERP, CRM, or HCM platforms.

  • Experience working in Agile/Scrum and product-oriented environments.

Preferred Qualifications

  • MuleSoft Certified Developer Level 1 or Level 2, or equivalent integration-platform certification.

  • Experience with SAP BTP or other iPaaS platforms.

  • Knowledge of Azure Event Hub or AWS Kinesis.

  • Experience with Docker, Kubernetes, microservices, and cloud-native architectures.

  • Experience in retail and/or energy industry environments.

  • Experience supporting enterprise digital transformation initiatives.

  • Exposure to AI/ML integration or AI-driven enterprise transformation projects.

The ideal candidate is a hands-on MuleSoft professional who combines strong Anypoint Platform, DataWeave, RAML, API, and enterprise integration expertise with modern cloud, DevOps, and event-streaming experience. Experience integrating SAP/Salesforce and working on large-scale digital transformation initiatives will be highly valued.

MuleSoft | Anypoint Platform | DataWeave | RAML | API | REST | JSON | XML | Java | Groovy | Kafka | RabbitMQ | AWS | CI/CD | Git | DevOps | SAP | Salesforce | API Management | Microservices | Kubernetes | Docker | iPaaS | SAP BTP | Azure Event Hub | AWS Kinesis | AI/ML

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