Splunk-Enabled AI & Observability Engineer III

University of Texas at Dallas; Richardson (TX); On-site; USD 73,000 - 90,000; Full time

Benefits offered by this job

Tuition benefits

Medical insurance options

Paid time off

Job summary

UT Dallas in Richardson seeks a System Engineer III functioning as Enterprise AI Engineer III to design, deploy, and operate AI solutions that improve university services and decision-making.

The role combines AI engineering with production observability, ensuring models, data pipelines, and platforms are measurable, secure, scalable, and reliable, using Splunk as a core platform for logging, dashboards, and incident insight.

Qualifications

• Bachelor's degree and four (4) years of related experience or equivalent combination of education and experience.
• Hands-on Splunk administration experience and strong observability background.
• Experience designing AI and observability solutions with production-grade reliability.

Responsibilities

• Follow ethical, responsible, secure AI practices in design and operation.
• Translate requirements into scalable AI solutions aligned with security standards.
• Design, develop, deploy, and support AI-driven applications using ML, LLMs, NLP, DL, and Agentic AI patterns.
• Build production observability into AI services with logs, metrics, dashboards, alerts, and runbooks.
• Provide hands-on Splunk administration including installation, upgrades, data onboarding, and dashboards.

Skills

Splunk administration

AI engineering

Python

Observability

CI/CD

Cloud platforms

Ansible

Docker

PowerShell

Bash

Education

Bachelor's degree

Master's degree

Tools

Splunk

Ansible

Python

PowerShell

Bash

Docker

CI/CD

Job description

UT Dallas in Richardson seeks a System Engineer III functioning as Enterprise AI Engineer III to design, deploy, and operate AI solutions that improve university services and decision-making.

The role combines AI engineering with production observability, ensuring models, data pipelines, and platforms are measurable, secure, scalable, and reliable, using Splunk as a core platform for logging, dashboards, and incident insight.