Senior AI Engineer — Production ML & Cloud Systems

ONEOK, Inc.; Tulsa (OK); Hybrid; USD 114,000 - 172,000; Full time

Job summary

ONEOK, Inc. in Tulsa is seeking a seasoned Data Scientist to lead AI/ML initiatives in production, including designing scalable cloud-native solutions and integration with business partners.

The role emphasizes strong Python engineering, LLM-based systems, API design, cost management, and collaboration across IT, security, and analytics teams to deliver reliable, value-driven outcomes.

Qualifications

• Minimum 5 years of software engineering experience, including AI/ML in production.
• Extensive experience with LLM-based systems, agent frameworks, tool use, evaluation, and retrieval.
• Strong Python engineering skills with familiarity in optimization, forecasting, or computer vision.
• Experience designing APIs, SDKs, or frameworks consumed by other engineers.
• Proven track record deploying and managing systems in production with monitoring and cost management.

Responsibilities

• Production AI systems: develop, deploy, and maintain AI systems with reliability, latency, and cost in mind.
• Advanced algorithms: build optimization, forecasting, vision, ML, and anomaly detection when off-the-shelf AI falls short.
• Cloud development: create cloud-based infrastructure to host AI/ML models.
• Tooling and prompts: design and evaluate tools, function calls, and prompts.
• User experience: develop interfaces for AI workflows based on user needs.
• Security and IT partnership: ensure compliance with ONEOK IT and security standards in production.

Skills

Python

LLMs

Cloud platforms

APIs

Data analysis

Spark/Databricks

SQL

CI/CD

Communication

Education

Bachelor's degree in Computer Science

MIS/Engineering/Finance background

Tools

OpenAI APIs

Terraform

GitHub

Spark

Job description

ONEOK, Inc. in Tulsa is seeking a seasoned Data Scientist to lead AI/ML initiatives in production, including designing scalable cloud-native solutions and integration with business partners.

The role emphasizes strong Python engineering, LLM-based systems, API design, cost management, and collaboration across IT, security, and analytics teams to deliver reliable, value-driven outcomes.