AI Engineer

## AI Engineer Apply locations:
Tulsa, OK:
Dallas, TXtime type:
Full time posted on:
Posted Todayjob requisition :
R8201## **#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.
*…