Senior AI Engineer – Production ML & Cloud Systems

ONEOK; Tulsa (OK); On-site; USD 114,000 - 172,000; Full time

Job summary

ONEOK's Data Science team is building cloud-native AI/ML solutions to drive value-added decision making. You will implement AI systems, including agents, tooling, and interfaces, in a fast-paced environment with strong autonomy and continuous learning.

Expect to work with Python, large language models, and cloud platforms to deploy solutions that scale, monitor, and optimize performance and cost.

Qualifications

• Minimum 5 years of software engineering experience shipping AI/ML systems in production.
• 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.

Responsibilities

• Production AI systems: Develop, deploy, and maintain AI systems, including agents, harnesses, tools, and evaluation pipelines.
• Advanced algorithms: Develop numerical optimization, forecasting, computer vision, machine learning, and anomaly detection capabilities.
• 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.

Skills

Python

R

SQL

Data analysis

LLMs

AI/ML

Optimization

Education

Bachelor's degree in CS/MIS/Engineering

Tools

Spark

Databricks

Snowflake

AWS

Azure

Terraform

Job description

ONEOK's Data Science team is building cloud-native AI/ML solutions to drive value-added decision making. You will implement AI systems, including agents, tooling, and interfaces, in a fast-paced environment with strong autonomy and continuous learning.

Expect to work with Python, large language models, and cloud platforms to deploy solutions that scale, monitor, and optimize performance and cost.