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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 - **Salary:** $143,320.0 - $273,930.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Application Integration Architecture, Computer Programming, Information Engineering, Data Mart, Data Systems, Software Design Patterns, Graph Database, Python (Programming Language), Machine Learning, OpenShift, Tensorflow, Software Engineering, SQL Databases, Google Cloud, Cloud Platform System, Snowflake, Generative AI, Fastapi, Data Lakes, Machine Learning Operations, Api Design, Data Pipelines - **Published:** August 9, 2026 - **Apply:** https://dejobs.org/x/x/B8EE6ED50C5E49BCBC16175F52DE0DE2/job/ ## About the Role * Bachelor's degree; OR 4 years of relevant education and/or experience; and * 6+ years of machine learning engineering, data engineering, or software development experience implementing data solutions. * Extensive programming experience using Python, SQL, Java etc. * Extensive data engineering experience. * Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. * Experience completing multiple projects leveraging the agile methodology in implementing ML models. * Experience leveraging ML Ops principles and implementing automated workflows. * Demonstrated technical leadership experience * Demonstrated ability to mentor junior members of the technical team in area of expertise. * Knowledge of Data Science principles and methodologies. * Knowledge of stochastic modeling, machine learning, or other advanced mathematical techniques. * Effective communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences. * Expert knowledge of at least one cloud platform and relevant components e.g., AWS Sagemaker. What sets you apart: * Programming skills using FastAPI, OpenShift, Snowflake (or any similar platform), Java, etc. * Financial services, insurance, banking, or other highly regulated industry experience. * Experience mentoring junior developers and providing technical leadership. * US military experience through military service or a military spouse/domestic partner ## Description * Consults with data scientists and business partners on approaches involving ML model development and implementation. * Provides technical feedback on ML solutions within technical lead community. * Leads the full life cycle of machine learning engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, application integration, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models. * Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders. This includes AWS, GCP, graph databases. * Works with architects to influence and define ML model implementation patterns in complex environments. * Understand complex model implementation requirements and how to recognize and apply appropriate design patterns throughout solution design and implementation. * Designs and implements complex technical solutions for machine learning, artificial intelligence, GenAI, Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. * Assists in setting technical direction for the team and serves as a mentor to team members. * Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. ## Related Videos - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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