AI Engineer III

About this role

#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 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 (Occasi

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