As a dedicated AI Data Solutions Scientist at USAA, you will join an innovative Data Science team, collaborating with architecture, engineering, and product partners. Your role will involve transforming operations and experiences by producing actionable insights, leveraging both structured and unstructured data through traditional operations research methods and cutting-edge generative AI technologies. You will be a key contributor to the next generation of AI modeling at USAA. What You'll Be Doing Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and value. Select appropriate modeling techniques and/or technology considering data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Compose and assist peers with composing technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code. Translate complex business requests into specific analytical questions, execute analysis/modeling, and communicate outcomes to non-technical colleagues. Manage project milestones, risks, and impediments, escalating potential issues. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets. Maintain expertise and awareness of cutting-edge techniques, actively seeking learning opportunities. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities driving the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled. Your Well-being Matters Comprehensive medical, dental, and vision plans 401(k) retirement plan Pension plan Life insurance Parental benefits Adoption assistance Paid time off program with paid holidays 16 paid volunteer hours Various wellness programs Career path planning assistance Continuing education support Your Well-being Matters USAA offers a robust benefits package designed to support employees' physical, financial, and emotional well-being. This includes comprehensive medical, dental, and vision plans, along with a 401(k) and pension plan. Employees also receive life insurance, parental benefits, adoption assistance, and a generous paid time off program that includes paid holidays and volunteer hours. Additionally, USAA provides various wellness programs and supports professional growth through career path planning and continuing education. Who We Are Looking For We are seeking a highly skilled Senior AI Data Scientist - Solutions Developer with a Bachelor's degree in a quantitative field and at least 6 years of experience in predictive analytics or data analysis, or an Advanced Degree with 4+ years of experience. The ideal candidate will possess strong expertise in Python for AI/ML model development and statistical analysis, coupled with significant experience in querying and preprocessing data using various query languages. You should have a proven track record in training and validating advanced analytics models, alongside a deep understanding of both supervised and unsupervised modeling techniques. Crucially, expertise in LLMs and agentic systems development, including frameworks like LangChain/LangGraph, and MLOps integration in cloud environments, is essential. The role also requires excellent communication skills to convey complex analytical results to non-technical stakeholders and the ability to mentor junior data scientists. Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or a quantitative field, or 4 years of relevant experience. 6+ years of experience in predictive analytics or data analysis, or an Advanced Degree with 4+ years of experience. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for statistical analysis and/or building and scoring AI/ML models. Experience writing easy-to-follow, well-documented, and commented code. Strong experience in querying and preprocessing data from structured and/or unstructured databases using SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts, including documentation and statistical validation of models. Advanced experience with classical supervised modeling for prediction (e.g., linear/logistic regression, decision trees). Advanced experience with unsupervised modeling (e.g., k-means clustering, hierarchical clustering). Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in cloud environments (AWS or GCP). Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations. Experience guiding and mentoring junior technical staff in business interactions and model building. What Makes This Role Special? Flexible work environment with 4 days in-office Opportunity to work in San Antonio, TX, Plano, TX, or Phoenix, AZ Be part of the next generation of AI modeling at USAA Work with cutting-edge technologies like generative AI and large/small language models Support for active-duty military spouses with remote or hybrid flexibility Relocation assistance is not available for this position Innovate with AI for Military Families Join USAA as a Senior AI Data Scientist - Solutions Developer and leverage your expertise to transform operations and member experiences. You'll work with advanced AI, machine learning, and optimization techniques, including generative AI and LLMs, to deliver significant business value. This role offers a chance to make a tangible impact on the financial security of military families within a supportive and innovative environment.