> Markdown version of [/jobs/ext/3845909-ai-ml-engineer-senior-level](https://www.wearedevelopers.com/jobs/ext/3845909-ai-ml-engineer-senior-level). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - Senior Level - **Company:** USAA - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Salary:** $143,320.0 - $273,930.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Application Integration Architecture, Computer Programming, Data Control, Information Engineering, Data Mart, Data Systems, Software Design Patterns, Graph Database, Python (Programming Language), Machine Learning, Motion Planning, Tensorflow, Software Engineering, Enterprise Application Integration, Google Cloud, Cloud Platform System, Generative AI, Data Lakes, Data Management, Machine Learning Operations, Api Design, Data Pipelines - **Published:** October 20, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/az/phoenix/e9306b8c-98d1-44bf-996d-9f6870ddf24d ## About the Role * Bachelor's degree; OR 4 years of relevant education and/or experience. * 6 years of machine learning engineering, data engineering, or software development experience implementing data solutions to include 2 years demonstrated technical leadership experience and/or leading teams. * Extensive programming experience using Python, Java, or R. * 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 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, and 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. ## Description Honesty On Prem Scheduling Leadership Data Lakes Forecasting Prototyping Market Data Data Science Communication Data Pipelines Data Management Solution Design Motion Planning Data Monitoring Machine Learning Data Engineering Agile Methodology Influencing Skills Amazon Web Services Time Off Management Stochastic Modeling Software Development Statistical Analysis Technical Leadership Advanced Mathematics Requirements Analysis Artificial Intelligence Software Design Patterns Machine Learning Frameworks Python (Programming Language) Generative Artificial Intelligence Enterprise Application Integration MLOps (Machine Learning Operations) Application Programming Interface (API), At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI/ML Engineer - Senior Level, you will engage in all phases of the data management and machine learning lifecycles to include requirement analysis, collection, processing, statistical analysis of data, monitoring of model performance, and adhere to related risk requirements. You will develop and maintain technical systems that use machine learning models to make predictions used for classification and/or decision making. What you will do: * 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.