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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI & Machine Learning Engineer - **Company:** USAA - **Location:** San Antonio, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Computer Programming, Information Engineering, Data Mart, Software Design Patterns, Graph Database, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Google Cloud, Cloud Platform System, Generative AI, Data Lakes, Machine Learning Operations, Api Design, Data Pipelines - **Published:** August 9, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/senior-ai-and-machine-learning-engineer-san-antonio-tx-usa-58870320 ## About the Role complex environments * Create proofs of concept and prototypes, present to leadership to drive vision * Mentor and guide team members, setting technical direction and ensuring risk/compliance controls * Ensure data quality, governance, and compliant risk management for business activities Tasks * Bachelor's degree or 4 years of relevant education/experience * 6+ years of ML engineering, data engineering, or software development experience * Extensive programming experience (Python, SQL, Java) * Extensive data engineering experience and end-to-end ML/AI solution delivery * Experience with data pipelines, data marts, data lakes, and analytics applications * Experience with agile methodologies and ML Ops * Demonstrated technical leadership and mentoring abilities * Knowledge of Data Science principles and stochastic modeling/mathematics * Effective communication to both technical and non-technical audiences * Expert knowledge of at least one cloud platform (e.g., AWS Sagemaker) * aaaaaa work with GenAI applications * Ability to work in a regulated financial services environment Key requirements * comprehensive medical, dental, and vision plans * 401(k) and pension * life insurance * parential benefits and adoption assistance * paid time off and 16 paid volunteer hours * wellness programs and career development support ## Description Experteer Overview In this role, you will lead end-to-end ML engineering efforts to deliver AI/GenAI solutions across USAA's businesses. You'll collaborate with data scientists and partners to design and implement ML models, data pipelines, and API-driven services in cloud/on-prem environments. The position emphasizes mentoring, technical leadership, and shaping ML patterns at scale to enhance member service. You'll work in a mission-driven, values-oriented culture with flexible work options and cross-functional impact. Compensation / Benefits * Lead full ML engineering lifecycle: analysis, design, data pipelines, testing, deployment, and production support for ML/GenAI solutions * Collaborate with data scientists and business stakeholders to define approaches and provide technical feedback * Configure and manage ML infrastructure across cloud and on-prem environments (AWS, GCP, graph databases) * Influence ML model implementation patterns with architects and define design patterns for complex environments * Create proofs of concept and prototypes, present to leadership to drive vision * Mentor and guide team members, setting technical direction and ensuring risk/compliance controls * Ensure data quality, governance, and compliant risk management for business activities Tasks * Bachelor's degree or 4 years of relevant education/experience * 6+ years of ML engineering, data engineering, or software development experience * Extensive programming experience (Python, SQL, Java) * Extensive data engineering experience and end-to-end ML/AI solution delivery * Experience with data pipelines, data marts, data lakes, and analytics applications * Experience with agile methodologies and ML Ops * Demonstrated technical leadership and mentoring abilities * Knowledge of Data Science principles and stochastic modeling/mathematics * Effective communication to both technical and non-technical audiences * Expert knowledge of at least one cloud platform (e.g., AWS Sagemaker) * Experience with GenAI applications * Ability to work in a regulated financial services environment Key requirements * comprehensive medical, dental, and vision plans * 401(k) and pension * life insurance * parential benefits and adoption assistance * paid time off and 16 paid volunteer hours * wellness programs and career development support ## Related Videos - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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