ZipRecruiter

Log In

1

Generative Ai Developer Jobs in Oklahoma (NOW HIRING)

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 ...

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 ...

Flywheel Energy

AI Lead

Oklahoma City, OK · On-site

You will build and lead a team of AI engineers focused on delivering real business automation use ... Hands-on experience with large language models (LLMs), agentic AI frameworks, or similar generative ...

previous pagenext page

Showing results 21-40

All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Oklahoma

Generative Ai Developer information

See Oklahoma salary details

$17

$41

$93

How much do generative ai developer jobs pay per hour?

As of Aug 7, 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 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 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 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.

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 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:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Oklahoma as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $86,978 per year, or $41.8 per hour.

Senior AI/ML Scientist

Blue Cross and Blue Shield of North Carolina

Oklahoma City, OK • On-site

$143K - $229K/yr

Other

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

189th of 303 rated insurance

Job description

Job Description

Serve as the senior AI/ML scientist to identify, research, and develop transformational predictive, prescriptive, and Generative AI (GenAI) solutions that translate structured and unstructured data into sound organizational decisions. Senior AI/ML scientist will combine statistical expertise, programming skills, and data science knowledge to create impactful self-learning applications and collaborate with multidisciplinary teams to integrate AI technologies into real-world systems and solutions to achieve business goals.

What You Will Do

  • Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time.

  • Design, implement, and evaluate artificial intelligence (AI) systems that can be used in production environments to meet business needs.

  • Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems.

  • Lead in the development and testing of appropriate ML algorithms, design & conduct experiments, collect and analyze data, and optimize performance of ML algorithms.

  • Stay updated with the advancements in artificial intelligence, machine learning, and generative AI methods and adapt new methods to effectively solve business problems.

  • Benchmark against existing machine learning methods and analyze results to identify strengths, weaknesses, and areas for improvement.

  • Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies including Generative AI.

  • Lead consultation sessions with business partners to distill the business needs and provide technical guidance on predictive and prescriptive AI approaches, ensuring alignment with business goals.

  • Drive continuous improvement by experimenting with novel techniques and refining existing models.

  • Leverage deep knowledge of software engineering principles in constructing sophisticated ML models and refining existing systems.

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

#LI-Hybrid

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Artificial Intelligence (AI), Benchmarking, Best Practices Development, Data Analysis, Data Science, Data Visualization, Deep Learning Algorithms, Machine Learning (ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

What Blue Cross and Blue Shield of North Carolina employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply