#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,

AI Engineer III at name