Job Description

Salary: $143,320 - 273,930 per year Requirements:

• We require a bachelors degree, or 4 years of relevant education and/or experience.
• We require 6+ years of experience in machine learning engineering, data engineering, or software development delivering data solutions.
• We need extensive programming experience with Python, SQL, Java, and similar languages.
• We need strong data engineering experience.
• We need experience delivering end-to-end machine learning and AI/GenAI solutions, including data pipeline development, integration, optimization, data curation, and modeling for different consumers and products.
• We need experience completing multiple ML projects using agile methods.
• We need experience applying MLOps principles and automated workflows.
• We need demonstrated technical leadership experience.
• We need the ability to mentor junior technical team members.
• We need knowledge of data science principles and methodologies.
• We need knowledge of stochastic modeling, machine learning, or other advanced mathematical techniques.
• We need effective communication skills and the ability to explain complex technical concepts to technical and non-technical audiences.
• We need expert knowledge of at least one cloud platform and related services, such as AWS SageMaker.

• We consult with data scientists and business partners on approaches to ML model development and implementation.
• We provide technical input on ML solutions within our technical lead community.
• We lead the full machine learning engineering lifecycle, including analysis, solution design, data pipeline engineering, testing, deployment, scheduling, application integration, production support, and API development.
• We configure, manage, and establish AI/ML infrastructure components in cloud and on-premises environments, including AWS, GCP, and graph databases.
• We work with architects to shape and define ML model implementation patterns in complex environments.
• We interpret complex model implementation needs and apply suitable design patterns throughout solution design and delivery.
• We design and implement advanced technical solutions for machine learning, artificial intelligence, and GenAI.
• We create proof-of-concepts and prototypes for highly complex solutions and present them to leadership.
• We help set technical direction for the team and mentor team members.
• We ensure risks tied to business activities are identified, measured, monitored, and controlled in line with risk and compliance policies and procedures.

• Agentic AI
• AI
• API
• AWS
• Cloud
• GCP
• Support
• Java
• Machine Learning
• MLOps
• Python
• SQL
• Security
• FastAPI
• Model Training
• OpenShift
• Snowflake

More:

We are USAA, where our mission is to help our members achieve financial security through competitive products, exceptional service, and trusted advice. We value honesty, integrity, loyalty, and service, and we are committed to supporting the military community and their families, including active-duty military spouses. This Senior Artificial Intelligence and Machine Learning Engineer role sits on a dedicated AI engineering team focused on building AI/ML solutions across all lines of business, including sentiment analysis and agentic AI applications. The position is based in San Antonio, TX, or Plano, TX, with a flexible work arrangement that requires being in the office 4 days per week. Relocation assistance is not available, and we do not provide visa sponsorship for this role. We also offer best-in-class benefits, including comprehensive medical, dental, and vision coverage, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off with paid holidays and volunteer hours, wellness programs, career path planning, and continuing education. The posting remains open until filled.

last updated 37 week of 2026

Job Tags

Similar Jobs