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Generative Ai Developer Jobs in Oklahoma (NOW HIRING)

BravoTech

Project Engineer IV

Tulsa, OK · On-site

Leverages generative AI concepts, prompt engineering, AI assisted development, and ethical AI practices to solve real business problems * Builds or integrates AI backed features into production ...

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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.

Care Innovation - Senior Solution Architect 136-2001

CommunityCare

Tulsa, OK • On-site

Full-time

Posted 14 days ago

Job description

JOB SUMMARY:
The Senior Solution Architect is responsible for owning the enterprise AI architecture and providing technical leadership across AI initiatives by defining target architectures, standards, solution patterns, governance practices, and integration strategies. This role ensures AI solutions are scalable, secure, compliant, and cost-effective within a HIPAA-regulated healthcare environment while providing technical direction and mentorship to Senior Solution Engineers and engineering teams.
KEY RESPONSIBILITIES:
  • Define and maintain enterprise AI architecture standards, reference architectures, patterns, and blueprints while designing scalable, resilient, and secure AI solutions that meet functional, performance, cost, and compliance requirements across models, agents, data, applications, and infrastructure.
  • Establish architectural standards for retrieval-augmented generation (RAG), agentic systems, data grounding, and human-in-the-loop patterns.
  • Review and approve solution designs to ensure alignment to enterprise architecture and long-term technical strategy.
  • Lead the evaluation, selection, and adoption of AI products, platforms, foundation models, and services by balancing technical capabilities, accuracy, performance, cost, security, and compliance requirements.
  • Define selection criteria, conduct proofs of concept, and provide build-vs-buy and vendor recommendations to leadership.
  • Define enterprise AI guidance, principles, and usage standards, including responsible and ethical AI, safety, privacy, and acceptable-use policies.
  • Partner with the Data Governance Board and security teams to align AI practices with governance goals, HIPAA, and regulatory requirements.
  • Establish guardrails, evaluation criteria, and risk controls for AI accuracy, bias, safety, and data protection (PHI).
  • Define the secure SDLC and engineering standards for AI/ML solutions, including MLOps/LLMOps practices, CI/CD, versioning, and testing.
  • Define enterprise integration architecture standards for APIs, data flows, event messaging, and core system integrations to enable scalable, secure, and reliable solutions.
  • Define operational standards for AI systems including monitoring, observability, model performance and drift management, incident response, cost management, and continuous improvement.
  • Provide technical leadership and mentorship to Senior Solution Engineers and engineering teams by setting technical direction, promoting best practices, and enabling effective delivery through coaching, collaboration, and knowledge sharing.
  • Performs other job-related duties as required or assigned.

QUALIFICATIONS:
  • Strong understanding of enterprise solution architecture, including AI integration patterns, APIs, data architecture, security, and scalable cloud design within Microsoft Azure or comparable cloud environments.
  • Strong understanding of secure SDLC, CI/CD (Azure DevOps or GitHub Actions), secrets management, and operational best practices.
  • Strong knowledge of HIPAA and applying security, privacy, and compliance requirements to enterprise systems handling PHI.
  • Strong programming/technical foundation (e.g., Python and/or C#/.NET) sufficient to lead and review engineering work.
  • Excellent communication, leadership, and stakeholder engagement skills, with the ability to translate strategy and complex technical concepts for technical and non-technical audiences.
  • Ability to work independently while leading multiple initiatives and projects simultaneously.
  • Willingness to work in a high-tech, continually evolving, innovative environment.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience; advanced degree preferred.
  • A minimum of eight years in 8+ years of progressive experience in solution architecture, enterprise architecture, software, data, or engineering roles, including architecting enterprise-scale systems and delivering AI/ML or generative AI solutions in production environments.
  • Prior experience designing, configuring, and optimizing AI systems, including large language models (LLMs), generative AI, AI agents, retrieval-augmented generation (RAG), prompt engineering, model fine-tuning, evaluation, and AI platform technologies such as Azure OpenAI, Cognitive Services, and comparable LLM/ML platforms with MLOps/LLMOps practices.
  • Experience working within healthcare, insurance, or public sector environments preferred.
  • Experience defining responsible AI / AI governance frameworks in a regulated environment preferred.
  • Experience with agent frameworks and orchestration (e.g., LangChain, Semantic Kernel, Autogen), vector databases, and embeddings preferred.
  • Experience with enterprise integration platforms, RPA (UiPath), and Microsoft Power Platform preferred.
  • Certifications in Azure Solutions Architect Expert, Azure AI Engineer Associate, or TOGAF preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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