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# AI & Machine Learning Engineer

- **Company:** USAA
- **Location:** San Antonio, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Code Review, Computer Programming, Information Engineering, Data Integrity, Data Systems, Graph Database, Python (Programming Language), Machine Learning, NumPy, Standard Sql, Software Engineering, Google Cloud, Cloud Platform System, Test Scripts, Generative AI, Pandas, Scikit Learn, Machine Learning Operations, Api Design, Code Restructuring, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/ai-and-machine-learning-engineer-san-antonio-tx-usa-58870321

## About the Role

for GenAI applications * Design and write test scripts to verify data integrity and functionality * Build familiarity with ML engineering best practices via training and code review of existing solutions * Configure and manage AI/ML infrastructure in cloud/on-prem environments (AWS, GCP, graph databases) * Identify, measure, and manage risks in accordance with compliance policies * Support production systems and provide IT/engineering support for ML solutions Tasks * Bachelor's degree or 4 years of relevant education/experience * 2+ years of ML engineering, data engineering, or software development experience implementing data solutions * Programming with Python and SQL * Working understanding of data engineering concepts * Experience implementing ML solutions and familiarity with DS principles * Experience with ML libraries (pandas, numpy, scikit-learn) * Cloud platform fundamentals with AWS or GCP * Effective communication in a team setting Key requirements * comprehensive aaaaa
and dental, and vision plans * 401(k) and pension * life insurance * parantal benefits and adoption assistance * paid time off and paid holidays * paid volunteer hours and wellness programs

## Description

Experteer Overview In this role you will build and deploy AI/ML solutions across USAA's lines of business, collaborating with data scientists to deliver production-ready models and data pipelines. You will develop APIs and ML infrastructure, participate in the full ML lifecycle, and work across cloud and on-prem environments to enable advanced customer service. This is a hands-on, impact-driven position that contributes to GenAI initiatives and scalable AI capabilities for member service. You will join a mission-driven team that supports the military community and emphasizes risk-aware, compliant engineering. Compensation / Benefits * Contribute to development, testing, and integration of ML-driven processes that inform business activities * Refactor model code with data scientists to production-ready, maintainable solutions * Adhere to ML development standards and coding best practices * Collaborate across teams on ML projects including data pipelines, deployment, and API development for GenAI applications * Design and write test scripts to verify data integrity and functionality * Build familiarity with ML engineering best practices via training and code review of existing solutions * Configure and manage AI/ML infrastructure in cloud/on-prem environments (AWS, GCP, graph databases) * Identify, measure, and manage risks in accordance with compliance policies * Support production systems and provide IT/engineering support for ML solutions Tasks * Bachelor's degree or 4 years of relevant education/experience * 2+ years of ML engineering, data engineering, or software development experience implementing data solutions * Programming with Python and SQL * Working understanding of data engineering concepts * Experience implementing ML solutions and familiarity with DS principles * Experience with ML libraries (pandas, numpy, scikit-learn) * Cloud platform fundamentals with AWS or GCP * Effective communication in a team setting Key requirements * comprehensive medical, dental, and vision plans * 401(k) and pension * life insurance * parantal benefits and adoption assistance * paid time off and paid holidays * paid volunteer hours and wellness programs


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