Senior AI Ops Engineer: Production ML & Automation

USAA Life Insurance Company; San Antonio (TX); Hybrid; USD 114,000 - 218,000; Full time

Job summary

USAA Life Insurance Company in San Antonio, TX seeks a Senior AI Ops Engineer to build ingestion pipelines, train models, and implement deterministic automation for production systems handling money and accounts.

You'll work in a regulated financial environment, delivering scalable ML solutions, with on-site five days per week and relocation not offered. Ideal candidates have 5+ years in software/data engineering and ML model production.

Qualifications

• Bachelor’s degree or 4 years of relevant education/experience.
• 5+ years hands-on software or data engineering experience.
• Strong Python and a second production language.
• Experience in building and productionizing ML models.
• Fluency with LLM-based techniques and prompt design.
• Experience with regulated production incident debugging.

Responsibilities

• Build ingestion pipelines turning logs into features.
• Train and tune anomaly-detection and forecasting models.
• Design event correlation and probable-cause ranking logic.
• Write and test remediation automation with rollback.
• Monitor models in production and participate in on-call rotation.

Skills

Python

Data engineering

LLM techniques

ML models

Anomaly detection

Production automation

Model governance

Education

Bachelor’s degree

Tools

TensorFlow

PyTorch

scikit-learn

Moogsoft

BigPanda

Dynatrace

Job description

USAA Life Insurance Company in San Antonio, TX seeks a Senior AI Ops Engineer to build ingestion pipelines, train models, and implement deterministic automation for production systems handling money and accounts.

You'll work in a regulated financial environment, delivering scalable ML solutions, with on-site five days per week and relocation not offered. Ideal candidates have 5+ years in software/data engineering and ML model production.