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Apprentice Generative Ai Engineer Jobs in Oklahoma

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 ...

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 ...

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 ...

Familiarity with generative AI frameworks such as LangChain, LlamaIndex, or Pydantic AI ... apprenticeship, at all levels of employment.

Familiarity with generative AI frameworks such as LangChain, LlamaIndex, or Pydantic AI ... apprenticeship, at all levels of employment.

Familiarity with generative AI frameworks such as LangChain, LlamaIndex, or Pydantic AI ... apprenticeship, at all levels of employment.

DeepLearning, Neural Networks, Generative AI * Natural Language Processing, Text Mining, Computer ... Proficiency in programming languages like Python, R, or Java. * Familiarity with AI and machine ...

DeepLearning, Neural Networks, Generative AI * Natural Language Processing, Text Mining, Computer ... Proficiency in programming languages like Python, R, or Java. * Familiarity with AI and machine ...

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

... 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 ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

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Showing results 1-20

Apprentice Generative Ai Engineer information

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 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 Apprentice Generative Ai Engineer jobs in Oklahoma?

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

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

What cities in Oklahoma are hiring for Apprentice Generative Ai Engineer jobs?

Cities in Oklahoma with the most Apprentice Generative Ai Engineer job openings:

Infographic showing various Apprentice Generative Ai Engineer 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.

Senior AI Solutions Engineer

Continental Resources, Inc.

Oklahoma City, OK • On-site

$51.25 - $66.25/hr

Full-time

Posted 6 days ago


Job description

Job Summary
The Senior AI Solutions Engineer designs, develops, deploys, and supports Enterprise Generative AI solutions that enable employees to work more efficiently, automate business processes, and make better business decisions. This role combines software engineering, AI engineering, data engineering, and business consulting to deliver secure, scalable, and production-ready AI capabilities across the enterprise. Working closely with business stakeholders and cross-functional IT teams, the Senior AI Solutions Engineer identifies opportunities where Artificial Intelligence can create measurable business value and transforms those opportunities into enterprise solutions.
Duties and Responsibilities
  • Partner with business stakeholders to identify opportunities where Generative AI can improve business processes and create measurable business value.
  • Gather, analyze, and translate business requirements into scalable AI-enabled solutions.
  • Design, develop, test, deploy, and support enterprise AI applications using approved development standards.
  • Develop AI workflows and automations utilizing enterprise platforms.
  • Develop integrations between AI solutions and enterprise applications using APIs and modern integration patterns.
  • Build and optimize prompts, AI agents, and contextual workflows to improve accuracy, usability, and business outcomes.
  • Leverage enterprise data platform to prepare, analyze, and integrate enterprise data into AI-enabled solutions.
  • Monitor application performance, reliability, model effectiveness, and operational costs while continuously improving delivered solutions.
  • Collaborate with Enterprise Architecture, Cybersecurity, Infrastructure, and Data teams to ensure solutions align with enterprise standards.
  • Develop technical documentation, solution designs, operational procedures, and end-user documentation.
  • Evaluate emerging AI technologies and recommend enhancements to the Enterprise AI platform and engineering practices.
  • Provide ongoing production support, troubleshooting, and continuous improvement for deployed AI solutions.
  • Promote responsible AI practices by ensuring solutions comply with security, privacy, governance, and compliance requirements.
  • Other duties as assigned.

Skills and Competencies
  • Experience developing software using Python, SQL, Node/React JS, REST APIs, JSON, and Git.
  • Knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Agents, and Retrieval Augmented Generation (RAG).
  • Experience with enterprise AI technologies including Open WebUI, LiteLLM, n8n, Databricks, Glean, or comparable platforms.
  • Strong understanding of data engineering, data integration, and working with structured and unstructured data.
  • Experience integrating AI capabilities with enterprise business applications and cloud services.
  • Strong analytical, problem-solving, organizational, and communication skills.
  • Ability to explain technical concepts to both technical and non-technical audiences.
  • Ability to lead technical discussions and mentor junior engineers.
  • Commitment to continuous learning in rapidly evolving AI technologies.

Required Qualifications
  • High school diploma (or GED).
  • Minimum of eight (8) or more years of experience in software development, AI engineering, application development, data engineering, or a related technical discipline.
  • Demonstrated experience developing scalable enterprise applications.
  • Experience designing, deploying, and supporting production applications.
  • Experience with Git, CI/CD pipelines, Docker, and modern software engineering practices.
  • Demonstrated ability to lead technical solution delivery while partnering directly with business stakeholders.
  • An acceptable pre-employment background and drug test.

Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Software Engineering, Data Science, or a related field.
  • Experience with Open WebUI, LiteLLM, n8n, Glean, and Databricks.
  • Experience developing Generative AI applications using OpenAI, Anthropic Claude, Google Gemini, or similar Gen AI Systems.
  • Experience implementing AI Agents, vector databases, embeddings, and Model Context Protocol (MCP).
  • Experience supporting enterprise AI governance and responsible AI initiatives.
  • Experience in the Oil & Gas industry.

Physical Requirements and Working Conditions
  • Requires prolonged sitting, some bending and stooping.
  • Occasional lifting up to 25 pounds.
  • Manual dexterity sufficient to operate a computer keyboard and calculator.

Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.