#WeAreONEOK – Fortune 500 company. 100+ years in business. Leading midstream service provider. Safety first. Sustainable operations. Environmentally responsible. Employee focused.
JOB SUMMARY
This position is eligible for remote work in one of the following states: Arkansas, Colorado, Georgia, Illinois, Iowa, Kansas, Louisiana, Minnesota, Missouri, Montana, Nebraska, New Mexico, North Dakota, Oklahoma, South Dakota, Texas, Wisconsin, or Wyoming. This position will require some travel for office meetings, as needed, to our corporate office in Tulsa, OK.
Job Profile Summary
The ONEOK Data Science team creates intelligent cloud-native solutions that drive value-added decision-making processes. As part of the team, you will implement these solutions, primarily using a combination of artificial intelligence, machine learning, and numerical optimization.
Expect a fast pace, high levels of autonomy, a hands-on approach with our business partners, perpetual learning, and a high ceiling for personal growth. Come with strong opinions, loosely held.
Essential Functions and Responsibilities
Production AI systems: Develop, deploy, and maintain AI systems, including agents, harnesses, tools, and evaluation pipelines. Accountable for reliability, latency, cost, and accuracy.
Advanced algorithms: Develop numerical optimization, forecasting, computer vision, machine learning, and anomaly detection capabilities in cases where off-the-shelf AI does not meet the operational requirement.
Cloud Development: Develop and implement cloud-based infrastructure to host and run AI and ML models.
Tooling and prompts: Design, tune, and evaluate purpose-built tools, function calls, and prompt templates.
User experience: Develop custom user interfaces for AI workflows, designed from user requirements.
Security and IT partnership: Ensure AI systems meet ONEOK IT and security standards as they are transitioned to production.
Education
Bachelor's degree in Computer Science, Management Information Systems, Engineering, 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 experience shipping and maintaining AI/ML systems in production environments
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 deploying and managing systems in production, including monitoring, incident response, and cost management.
Knowledge, Skills and Abilities
Skills in: Technical Skills: Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL). Experience with modern data platforms and technologies (e.g., Spark, Databricks, Snowflake) is a plus.
Skills in: Strong proficiency in Large Language Models (LLMs) ecosystem, including agentic coding, AI harnesses, model APIs and third-party providers such as Anthropic, AWS Bedrock, and OpenAI.
Skills in: Cloud: Proficient in cloud platforms including IaaS and PaaS (e.g., AWS, Azure, Terraform) with experience deploying and managing data solutions in cloud environments.
Skills in: Software development lifecycle (SDLC) and continuous integration/deployment (CI/CD) pipelines, code repos, branching strategies (ADO, GitHub, GitLab)
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: presenting solutions to both technical and non-technical audiences
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
Relevant certifications (e.g., cloud platforms, data science, machine learning, or data engineering) preferred
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
Ability to travel to support IT infrastructure initiatives, project implementations, or collaboration across business locations as needed
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
$114,000.00 - $172,000.00Bachelor's degree and 5+ years of software engineering experience shipping production AI/ML systems. Requires Python, LLM systems, cloud platforms, APIs, production operations, and strong communication skills.
Key Responsibilities
- developing AI systems
- deploying cloud infrastructure
- designing user interfaces
Skills & Tools
Python, R, SQL, Spark, Databricks, Snowflake, Large Language Models (LLMs), Anthropic, AWS Bedrock, OpenAI, AWS, Azure, Terraform, Software Development Lifecycle (SDLC), Continuous Integration/Continuous Deployment (CI/CD), ADO, GitHub, GitLab
Job Details
- Category: Engineering
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — Arkansas or Colorado or Georgia or Illinois or Iowa or Kansas or Louisiana or Minnesota or Missouri or Montana or Nebraska or New Mexico or North Dakota or Oklahoma or South Dakota or Texas or Wisconsin or Wyoming or Tulsa
- Salary: USD 114,000 – 172,000 / year
- Languages: English
Benefits
- 401k matching
- Generous paid time off
- Tuition reimbursement
- Retirement plan
About ONEOK
An integrated energy infrastructure company providing midstream services through a large pipeline network. — Industry: Utilities