AI Engineer III

#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