1

Generative Ai Developer Jobs in Oklahoma (NOW HIRING)

Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems ... Collaborate with data scientists, product managers, and engineers to translate business ...

AI Architect

OK ยท Remote

$49 - $64.50/hr

Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI ... Collaborate with business stakeholders, engineering teams, and product leaders to deliver customer ...

Data and Analytics AI Engineer

Tulsa, OK ยท On-site

$104K - $125K/yr

Support development and deployment of AI, machine learning, and generative AI solutions as the ... Experience with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps). * Microsoft ...

Data and Analytics AI Engineer

Tulsa, OK ยท On-site

$104K - $125K/yr

Support development and deployment of AI, machine learning, and generative AI solutions as the ... Experience with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps). * Microsoft ...

Data and Analytics AI Engineer

Tulsa, OK ยท On-site

$140 - $180/hr

Support development and deployment of AI, machine learning, and generative AI solutions as the ... Experience with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps). * Microsoft ...

... generative AI solutions that support internal teams while ensuring compliance with governance ... This role also establishes engineering best practices, mentors developers, and helps define a ...

... generative AI solutions that support internal teams while ensuring compliance with governance ... This role also establishes engineering best practices, mentors developers, and helps define a ...

... generative AI solutions that support internal teams while ensuring compliance with governance ... This role also establishes engineering best practices, mentors developers, and helps define a ...

Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and ...

AI Engineer

Tulsa, OK ยท On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

next page

Showing results 1-20

Generative Ai Developer information

See Oklahoma salary details

$17

$41

$93

How much do generative ai developer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for generative ai developer in Oklahoma is $41.82, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $50.62 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Oklahoma?

For Generative Ai Developer jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Oklahoma look for?

The top searched job categories for Generative Ai Developer jobs in Oklahoma are:

Infographic showing various Generative Ai Developer job openings in Oklahoma as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $86,978 per year, or $41.8 per hour.

AI Engineer

Oklahoma City, OK โ€ข On-site

Full-time

This job post hasย expired 3 days ago.ย Applications are no longer accepted.


Job description

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

Ready to take your careerglobal?

Make your mark at one of the biggest names in payments. We are seeking a highly skilled and forward-thinking AI Engineer to join our AI Engineering team. This role is ideal for a hands-on technologist with deep expertise in machine learning (ML) and deep learning (DL), and a strong working knowledge of Generative AI technologies. You will design, build, and optimize intelligent systems that power automation, personalization, and decision-making across our FinTech platforms. This is a unique opportunity to work at the intersection of cutting-edge AI research and real-world enterprise applications.


Whatyou'llown

  • Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems and deliver measurable value.
  • Build and maintain scalable ML pipelines and agentic workflows using modern frameworks and cloud-native tools.
  • Collaborate with data scientists, product managers, and engineers to translate business requirements into AI-powered solutions.
  • Implement and optimize AI solutions using platforms such as GCP Vertex AI, AWS Bedrock/SageMaker, and Snowflake Cortex.
  • Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance.
  • Develop and deploy autonomous AI agents using frameworks like LangChain, LangGraph, and AgentSpace.
  • Integrate vector databases (e.g., PGVector) and LLM orchestration tools to support retrieval and memory in generative systems.
  • Ensure robust MLOps practices including CI/CD, monitoring, versioning, and lifecycle management of models.
  • Stay current with AI research and industry trends, and evaluate emerging tools and techniques for enterprise adoption.
  • Contribute to internal knowledge sharing, documentation, and best practices for responsible and ethical AI development.

Whatyou'llbring

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in AI/ML engineering, with a strong foundation in ML/DL algorithms and systems.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and Transformers.
  • Hands-on experience with Generative AI models (e.g., GPT, Mistral, Claude) and agentic AI systems.
  • Experience with NLP, conversational AI, and LLM-based applications.
  • Familiarity with vector search and semantic retrieval technologies.
  • Strong understanding of MLOps, including model deployment, monitoring, and retraining.
  • Experience building production-grade AI systems at scale in cloud environments.
  • Hands-on experience with development on Google Cloud Platform.
  • Excellent problem-solving, communication, and collaboration skills.

It'sa bonus if you have

  • Experience with prompt engineering, RLHF, and LLM evaluation techniques.
  • Understanding of AI governance, safety, and responsible AI principles.
  • Familiarity with reinforcement learning, multi-agent systems, and autonomous workflows.
  • Experience with big data technologies (e.g., Apache Spark, Kafka) and real-time data processing.
  • Experience with data engineering techniques and data warehousing platforms (e.g. BigQuery, Snowflake).
  • Contributions to open-source AI projects or publications in the AI/ML field.Familiarity with CI/CD pipelines, infrastructure-as-code, and cloud-native AI tooling.
  • Ability to work proactively with a high level of initiative and accuracy.
  • Ability to manage multiple assignments effectively and meet established deadlines.
  • Strong interpersonal skills to interact professionally with staff and stakeholders.
  • Excellent organizational skills and attention to detail.
  • Critical thinking ability ranging from moderately to highly complex tasks.
  • Flexibility in adapting to changing business needs and priorities.
  • Ability to work creatively and independently with minimal supervision.
  • Ability to utilize experience and judgment in accomplishing goals.
  • Experience in navigating organizational structures and collaborating across teams.

About the team

Our inclusive and global teams win together every day.We'reproud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections -it'sunmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.

What makes aGlobalpayer?

Globalpayersthink like a client, act like anownerand win as one team.We'recurious and innovative - always finding better ways to deliver impact. We empower each other to make decisions, andit'sour passion that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like aGlobalpayer. Apply now to take your careerglobal. https://jobs.globalpayments.com/en/why-global-payments/benefits/

Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; We will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).

Diversity and EEO Statements

Global Payments is an organization that stands against racism, intolerance and injustice in all its forms - one that respects, honors and celebrates the diversity of our team members and the differences among us. Our commitment to fostering a company culture that values and respects Inclusion and Diversity is steadfast. Standing together as one company, we will continue to work to drive positive change for the communities in which we live and work and stamp out injustice.

linkedin.com/in/shonali-r-66744622 -SB

Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact jobs@globalpayments.com.