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Ai Reliability Engineer Jobs in Oklahoma (NOW HIRING)

Oneok, Inc.

AI Engineer

Tulsa, OK · On-site

The AI Engineer is responsible for the most technically demanding work - advanced algorithms ... Accountable for reliability, latency, cost, and accuracy. * Advanced algorithms: Develop numerical ...

ONEOK, Inc

AI Engineer

Tulsa, OK

The AI Engineer is responsible for the most technically demanding work - advanced algorithms ... Accountable for reliability, latency, cost, and accuracy. * Advanced algorithms: Develop numerical ...

ONEOK, Inc

AI Analyst

Tulsa, OK · On-site

The AI Analyst combines AI tooling with operations domain expertise to provide decision support ... engineer, reliability engineer). * Proficient in SQL and Python, including pandas, notebook ...

Oneok, Inc.

AI Analyst

Tulsa, OK · On-site

The AI Analyst combines AI tooling with operations domain expertise to provide decision support ... engineer, reliability engineer). * Proficient in SQL and Python, including pandas, notebook ...

Robert Half

Senior AI Engineer

Oklahoma City, OK · On-site

$10K - $120K/yr

Apply software engineering and AI best practices to improve reliability, scalability, and security * Use Jira to track work items, defects, and project progress Qualifications: * Bachelor's degree in ...

Humana

Own the reliability, performance, cost, and observability of deployed APIs, and pipelines (logging ... AI infrastructure, and translate them into pragmatic engineering improvements. Use your skills to ...

Humana

Own the reliability, performance, cost, and observability of deployed APIs, and pipelines (logging ... AI infrastructure, and translate them into pragmatic engineering improvements. Use your skills to ...

Humana

Own the reliability, performance, cost, and observability of deployed APIs, and pipelines (logging ... AI infrastructure, and translate them into pragmatic engineering improvements. Use your skills to ...

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Ai Reliability Engineer information

What are the key skills and qualifications needed to thrive as an AI reliability engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.
What are popular job titles related to Ai Reliability Engineer jobs in Oklahoma? For Ai Reliability Engineer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Oklahoma look for? The top searched job categories for Ai Reliability Engineer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Ai Reliability Engineer jobs? Cities in Oklahoma with the most Ai Reliability Engineer job openings:
Ai Reliability Engineer jobs near you
Infographic showing various Ai Reliability Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

AI Engineer

Oneok, Inc.

Tulsa, OK • On-site

Full-time

Re-posted 3 days ago

Job description

#WeAreONEOK - Fortune 500 company. 100+ years in business. Leading midstream service provider. Safety first. Sustainable operations. Environmentally responsible. Employee focused.
JOB SUMMARY
Job Profile Summary/Mission
Design, build, and operate the AI systems that Operations relies on. The AI Engineer is responsible for the most technically demanding work - advanced algorithms, production agents, and shared frameworks - and delivers reusable infrastructure that enables the rest of the team to work efficiently.
Essential Functions and Core Responsibilities
  • Production AI systems: Develop, deploy, and maintain operations-critical AI systems, including agents, harnesses, tools, and evaluation pipelines. Accountable for reliability, latency, cost, and accuracy.
  • Advanced algorithms: Develop numerical optimization, forecasting, computer vision, and anomaly detection capabilities in cases where off-the-shelf AI does not meet the operational requirement.
  • Shared frameworks: Develop the code templates, agent skills, and function-calling patterns reused by Forward Deployed Engineers and AI Analysts, enabling consistent and efficient delivery across the team.
  • Tooling and prompts: Design, tune, and evaluate purpose-built tools, function calls, and prompt templates.
  • Operations-aware user experience: Develop custom user interfaces for operations workflows, designed from user requirements.
  • Mentorship: Develop the capabilities of Forward Deployed Engineers and AI Analysts in AI engineering practices, code quality, and system design. Establish and maintain the technical standard for the team.
  • Security and IT partnership: Ensure AI systems meet ONEOK IT and security standards as they are transitioned to production.

Education
  • Bachelor's degree in Engineering, Management Information Systems, Computer Sciences, Accounting, Finance, Business Administration, or other related field with specific job-related experience as follows:

Required Experience
  • Minimum 5 years of software engineering experience, including demonstrated production ownership of AI or ML systems.
  • Extensive experience with LLM-based systems, including agent frameworks, tool use, evaluations, prompt engineering, and retrieval.
  • Strong Python engineering skills, with familiarity in at least one of optimization, forecasting, or computer vision.
  • Experience designing APIs, SDKs, or frameworks consumed by other engineers.
  • Proven track record operating systems in production, including monitoring, incident response, and cost management.

How We Measure Success
  • Reliability, latency, and unit cost of production AI systems.
  • Adoption of shared frameworks and templates across Forward Deployed Engineers and AI Analysts, measured by active reuse.
  • Evaluation coverage and regression detection rate on deployed systems.
  • Quality of mentorship, reflected in the growth and independence of Forward Deployed Engineers and AI Analysts.

Team & Collaboration
Engages across the full Operations Analytics team. Partners with Forward Deployed Engineers to advance proven prototypes into enterprise-grade products, supports AI Analysts with tooling and prompt optimization, and relies on the Data Steward for reliable, contextualized data. Maintains close working relationships with IT and Security.
Knowledge, Skills and Abilities
  • Skills in: relational database design including table structures, indexes and primary/foreign key fields.
  • Skills in: use and function of office equipment including computers and applicable software.
  • Skills in: interacting, advising and communicating effectively.
  • Skills in: developing solutions to complicated issues using abstract thinking in new or complex situations.
  • Skills in: managing and prioritizing multiple assignments with competing deadlines.
  • Skills in: reading and interpreting correspondence, reports, production statistics, cost analyses, contracts, accounting statements, income statements, ledgers, manuals and legal documents.
  • Ability to: develop information, conduct meetings and present information to individuals and groups.
  • Ability to: apply math, algebra, statistical and volumetric methods.
  • Ability to: be self-motivated and self-directed.
  • Ability to: influence and facilitate discussions across a wide range of teams and technologies.
  • Ability to: mentor less experienced personnel on complex technologies.

Licenses and Certifications
  • None required

Strength Factor Rating - Physical Demands/Requirements
  • Sedentary Work - Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Strength Factor Description - Physical Demands/Requirements
  • Standing: Remaining on one's feet in an upright position at a work station without moving about (Occasionally)
  • Walking: Moving about on foot (Frequently)
  • Sitting: Remaining in a seated position (Constantly)
  • Lifting: Raising or lowering an object from one level to another (includes upward pulling) (Occasionally)
  • Carrying: Transporting an object, usually holding it in the hands or arms, or on the shoulder (Occasionally)
  • Pushing: Exerting force upon an object so that the object moves away from the force (Occasionally)
  • Pulling: Exerting force upon an object so that the object moves toward the force (includes jerking) (Occasionally)
  • Climbing: Ladders, Stairs (Occasionally)
  • Balancing: Maintaining body equilibrium to prevent falling (Occasionally)
  • Stooping: Bending the body downward and forward by bending the spine at the waist (Occasionally)
  • Kneeling: Bending the legs at the knees to come to rest on the knee or knees (Occasionally)
  • Crouching: Bending the body downward and forward by bending the legs and spine (Occasionally)
  • Crawling: Moving about on the hands and arms in any direction (Occasionally)
  • Reaching: Extending hands and arms in any direction (Constantly)
  • Handling: Seizing, holding, grasping, turning or otherwise working with the hand or hands (Manual Dexterity) (Constantly)
  • Fingering: Picking, pinching or otherwise working with the fingers primarily (Finger Dexterity) (Constantly)
  • Feeling: Perceiving such attributes of objects/materials as size, shape, temperature, texture, movement or pulsation by receptors in the skin, particularly those of the finger tips (Constantly)
  • Talking: Expressing or exchanging ideas/information by means of the spoken word (Frequently)
  • Hearing: Perceiving the nature of sound by the ear (Frequently)
  • Tasting/Smelling: (Occasionally)
  • Near Vision: Clarity of vision at 20 inches or less (Constantly)
  • Far Vision: Clarity of vision at 20 feet for more (Frequently)
  • Depth Perception: Three-dimensional vision; ability to judge distances and spatial relationships so as to see objects where and as they actually are (Frequently)
  • Vision: Color - The ability to identify and distinguish colors (Constantly)

Working Conditions/Environment
  • Employee is subject to inside environmental conditions

Working Conditions
  • Well lighted, climate controlled areas (Constantly)
  • Frequent repetitive motion (Constantly)
  • CRT (Computer Monitor(s)) (Constantly)

Travel
  • Travel to other locations required.

Driving
  • Based on assigned tasks, employee may be assigned a company vehicle requiring the applicable driver's license

ONEOK is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, sex, pregnancy, sexual orientation, age, religion, creed, national origin, gender identity, disability, military/veteran status, genetic information or any other categories protected by applicable law.
The job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of ONEOK.
ONEOK is committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request an accommodation email HRSolutions@ONEOK.com or call 1-855-663-6547.
Expected Salary Range
$92,000.00 - $138,000.00

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