AI Engineer III

ONEOK • Tulsa, OK

3d • Onsite

About The Position

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.

Requirements

• Bachelor's degree in Computer Science, Management Information Systems, Engineering, Accounting, Finance, Business Administration, or other related field with specific job-related 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.
• Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• 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.
• 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.

Nice To Haves

• Experience with modern data platforms and technologies (e.g., Spark, Databricks, Snowflake) is a plus.
• Relevant certifications (e.g., cloud platforms, data science, machine learning, or data engineering) preferred.

Responsibilities

• Develop, deploy, and maintain AI systems, including agents, harnesses, tools, and evaluation pipelines. Accountable for reliability, latency, cost, and accuracy.
• 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.
• Develop and implement cloud-based infrastructure to host and run AI and ML models.
• Design, tune, and evaluate purpose-built tools, function calls, and prompt templates.
• Develop custom user interfaces for AI workflows, designed from user requirements.
• Ensure AI systems meet ONEOK IT and security standards as they are transitioned to production.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior