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Ai Rag Jobs in Oklahoma (NOW HIRING)

Cloudbeds

$140K - $180K/yr

Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation platforms * Comfortable working across a polyglot stack, especially contributing to or integrating with ...

Accenture

$17.25 - $23.50/hr

Agentic & Generative AI Patterns: Working knowledge of modern agent orchestration patterns, including tool use, grounding mechanisms, Retrieval-Augmented Generation (RAG), Gemini Enterprise Agent ...

Gitwit Creative

Principal Software Engineer

Tulsa, OK · On-site

$190K - $230K/yr

Work with foundation‑model APIs, prompt engineering, RAG, tool calling, agent workflows, and evaluate trade‑offs. * Voracious learning and sharp judgment. Understand emerging AI and apply it ...

Accenture

... RAG Also Valuable Domain Area Skills & Technologies Data & AI BigQuery, Vertex AI, Looker - for customer analytics, segmentation, and personalization Marketing & Personalization Customer 360, CDP ...

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Ai Rag information

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Oklahoma?

For Ai Rag jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Oklahoma look for?

The top searched job categories for Ai Rag jobs in Oklahoma are:

What cities in Oklahoma are hiring for Ai Rag jobs?

Cities in Oklahoma with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Oklahoma as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

Principal AI Architect at Paycom Payroll Llc Oklahoma City, OK

Oklahoma City, OK • On-site

Shell Lubricants Hub Hamburg
See more jobs at Shell Lubricants Hub Hamburgexternal

Other

Posted 27 days ago

Job description

Job Description

Paycom is seeking a self-motivated AI Architect with a passion for building innovative products and driving beyond expectations. In this role, you will collaborate closely with software engineers to deliver world-class AI solutions to our clients. This is a unique opportunity to shape a product from the ground up, work alongside a team of talented technologists, and serve as a trusted advisor on AI strategy and implementation.

Responsibilities
  • Define architectural changes that can be implemented incrementally, while minimizing risk.
  • Collaborate with a variety of stakeholders to determine architectural priorities, especially in AI model deployment and MLOps workflows.
  • Design and implement autonomous or semi-autonomous AI agents capable of multi-step reasoning, decision-making, and tool orchestration.
  • Create innovative applications leveraging generative AI for text, data extraction, summarization, and reasoning tasks.
  • Define and evolve model governance, monitoring, drift detection and re-training workflows.
  • Advocate for security and ethical AI practices in compliance with OWASP ML Top 10 and relevant standards.
  • Design and evolve AI/ML pipelines and software architecture to support continuous delivery and model lifecycle management.
  • Automate batch inference workflows and integrate AI features into both internal tools and customer-facing products.
  • Partner with cross-functional teams to ensure AI solutions are reliable, scalable, and business-impactful.
  • Build, fix, and improve code, especially high-value AI/ML services and APIs
  • Architect, design, and implement scalable AI/ML systems across cloud and on premise environments.
  • Design advancements in architecture that move software and AI/ML pipelines forward.
  • Train team members on AI/ML practices, new techniques, and past mistakes.
  • Lead the design, development, and deployment of GenAI models and intelligent agents.
  • Architect and implement scalable AI/ML systems across cloud and on-premise environments.
  • Translate complex technical concepts into clear insights for non-technical stakeholders.
  • Mentor team members on AI/ML techniques, tooling and best practices.
  • Perform regular and thorough market research, both with our existing vendors, and prospective vendors to stay one step ahead of the latest trends in the AI space.
  • Define the test plan to collect data on accuracy, reliability, performance, power, and robustness of the design.
  • Contribute to technical conversations and documentation (e.g., white papers, schematics, FDD, HLDR)
Education/Certification
  • Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field
Experience
  • Software engineer experienced building and architecting analytical software systems using AI and ML.
  • Experience developing software utilizing various languages, including Python, SQL and/or the ability to pick up new languages quickly.
  • Strong knowledge and experience using data platforms, machine learning frameworks and generative AI tooling.
  • Experience designing and deploying ML models to production and optimizing MLOps practices
  • Experience with the full lifecycle of software and AI/ML development, including version control, build management, unit testing, CI/CD, API paradigms and model versioning.
  • Demonstrated ability to influence and align cross-functional teams in technical and business domains.
  • Ability to tactfully and effectively give and receive concrete feedback.
  • Experience in deploying and scaling containerized, distributed software and AI systems using tools such as Kubernetes.
  • Manages resource usage (GPU/CPU), scaling and access controls.
  • Depth in using LLMs, including training, fine-tuning, and evaluation. Historical background in “traditional” NLP tools
  • Experience in SOA, Modular Monolith Architecture, and distributed systems for AI training and inference
  • Familiarity with static analysis, code scanning, and ML-specific monitoring tools
  • Experience with prompt engineering, RAG, or agentic AI architecture
  • Experience with agentic frameworks in practice
  • Knowledgeable in responsible AI and security best practices, including OWASP Top 10 and OWASP ML Top 10
Preferred Qualifications Education/Certification
  • Masters degree in Computer Science, Machine Learning, Artificial Intelligence, or related field.
Experience
  • Familiarity with data engineering and data governance principles.
  • Experience defining and implementing enterprise AI strategy in complex organizations.
  • Track record of mentoring engineering and data science teams on AI best practices.
  • Strong communication skills to present complex AI concepts to executive stakeholders.
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands and fingers to handle, type, or feel; reach with hands and arms; and talk or hear. The employee may occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.

Work Environment and Environmental Conditions

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. No hazardous or significantly unpleasant conditions. (Such as in a typical office). The noise level in the work environment is usually moderate.

Paycom is an equal opportunity employer and prohibits discrimination and harassment of any kind. Paycom makes employment decisions on the basis of business needs, job requirements, individual qualifications and merit. Paycom wants to have the best available people in every job. Therefore, Paycom does not permit its employees to harass, discriminate or retaliate against other employees or applicants because of race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, military and veteran status, age, physical or mental disability, genetic characteristic, reproductive health decisions, family or parental status or any other consideration made unlawful by applicable laws. Equal employment opportunity will be extended to all persons in all aspects of the employer-employee relationship. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation benefits, and separation of employment. The Human Resources Department has overall responsibility for this policy and maintains reporting and monitoring procedures. Any questions or concerns should be referred to the Human Resources Department. ****To learn more about Paycom's affirmative action policy, equal employment opportunity, or to request an accommodation - Click on the link to find more information: paycom.com/careers/eeoc
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