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Generative Ai Engineer Jobs in Oklahoma (NOW HIRING)

Global Payments

AI Engineer

Oklahoma City, OK

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 ...

Pwc

AI Engineer

Tulsa, OK · 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 ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Support development and deployment of AI, machine learning, and generative AI solutions as the ... Platform Engineering & Operations * Support the Azure Data Platform, Microsoft Fabric, and related ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

Support development and deployment of AI, machine learning, and generative AI solutions as the ... Platform Engineering & Operations * Support the Azure Data Platform, Microsoft Fabric, and related ...

Humana

Become a part of our caring community We are seeking Senior AI Software Engineers who thrive on building production-grade, Python-based systems that put generative AI in the hands of real users - not ...

Humana

Become a part of our caring community We are seeking Senior AI Software Engineers who thrive on building production-grade, Python-based systems that put generative AI in the hands of real users - not ...

Humana

Become a part of our caring community We are seeking Senior AI Software Engineers who thrive on building production-grade, Python-based systems that put generative AI in the hands of real users - not ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Oklahoma

Generative Ai Engineer information

See Oklahoma salary details

$35.1K

$107K

$176.8K

How much do generative ai engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for generative ai engineer in Oklahoma is $106,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $139,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in Oklahoma? The most popular types of Generative Ai Engineer jobs in Oklahoma are:
What are popular job titles related to Generative Ai Engineer jobs in Oklahoma? For Generative Ai Engineer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Generative Ai Engineer jobs in Oklahoma look for? The top searched job categories for Generative Ai Engineer jobs in Oklahoma are:
Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $106,982 per year, or $51.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Edmond, OK • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply