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Apprentice Generative Ai Engineer Jobs in Tulsa, OK

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 · 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 ...

MIRATECH Corporation

AI and Automation Lead

Tulsa, OK · On-site

... 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 ...

MIRATECH Corporation

AI and Automation Lead

Tulsa, OK · On-site

... 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 ...

MIRATECH Corporation

AI and Automation Lead

Tulsa, OK · On-site

... 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 ...

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 ...

Pwc

US Tech - AI Engineering Senior Associate

Tulsa, OK · On-site

$55K - $187K/yr

... and validate Generative AI agents and data pipelines, promoting reliability, scalability, and ... engineering, AI/ML engineering, or quality engineering - In lieu of a Bachelor's Degree ...

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All JobsApprentice Generative Ai Engineer JobsApprentice Generative Ai Engineer Jobs in Tulsa, OK

Apprentice Generative Ai Engineer information

See Tulsa, OK salary details

$12

$16

$22

How much do apprentice generative ai engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for apprentice generative ai engineer in Tulsa, OK is $16.80, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $20.00 per hour, depending on experience, location, and employer.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

What job categories do people searching Apprentice Generative Ai Engineer jobs in Tulsa, OK look for? The top searched job categories for Apprentice Generative Ai Engineer jobs in Tulsa, OK are:
Apprentice Generative Ai Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Tulsa, OK • On-site

Other

Re-posted 21 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