Senior AI/ML Engineer

USAA

. Engage in all phases of data management and machine learning lifecycles, including requirements analysis, data collection and processing, statistical analysis, model-performance monitoring, and risk compliance .

Posted 10/19/2026full-timeUnited StatesSenior💰 $143,320 - $273,930 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning engineering and data engineering, with a strong focus on developing and implementing AI/GenAI solutions. Proficient in managing data pipelines and leveraging cloud platforms like AWS and GCP while ensuring compliance with risk management policies.

Highest-signal resume keywords

Machine Learning EngineeringData Pipeline EngineeringTechnical LeadershipCloud Platform ExpertiseMLOps Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaRData EngineeringMachine LearningAI SolutionsData ModelingAgile MethodologyStatistical AnalysisRisk Compliance

Soft Skills

Effective CommunicationMentoring

Tools & Technologies

AWSGCPAWS SageMakerGraph DatabasesAPI Development

Industry Keywords

Data ManagementMachine Learning LifecycleSolution DesignData LakesData MartsOperational AnalyticsStochastic ModelingAutomated Workflows

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformJavaPython

About the role

Key responsibilities & impact

Engage in all phases of data management and machine learning lifecycles, including requirements analysis, data collection and processing, statistical analysis, model-performance monitoring, and risk compliance
Develop and maintain technical systems using machine learning models for classification and decision-making
Consult with data scientists and business partners on ML model development and implementation
Provide technical feedback on ML solutions within the technical lead community
Lead the full machine learning engineering lifecycle, including solution design, data pipeline engineering, testing, deployment, scheduling, application integration, production support, API development, and GenAI application support
Configure, manage, and set up AI/ML infrastructure in cloud and on-premises environments, including AWS, GCP, and graph databases
Work with architects to define ML model implementation patterns in complex environments
Apply appropriate design patterns throughout solution design and implementation
Design and implement complex machine learning, artificial intelligence, and GenAI solutions
Create proofs of concept and prototypes for highly complex solutions and present them to leadership
Assist in setting technical direction and mentor team members
Identify, measure, monitor, and control risks in accordance with risk and compliance policies and procedures

Requirements

What you’ll need

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
2 years of demonstrated technical leadership experience and/or leading teams
Extensive programming experience using Python, Java, or R
Extensive data engineering experience
Experience delivering machine learning and AI/GenAI solutions end to end
Experience building, integrating, and optimizing data pipelines
Experience curating and modeling data for data marts, data lakes, and operational analytic applications
Experience completing multiple projects using agile methodology to implement ML models
Experience leveraging MLOps principles and implementing automated workflows
Demonstrated ability to mentor junior technical team members
Knowledge of data science principles and methodologies
Knowledge of stochastic modeling, machine learning, and other advanced mathematical techniques
Effective communication skills and ability to present complex technical concepts to technical and non-technical audiences
Expert knowledge of at least one cloud platform and relevant components, such as AWS SageMaker
Must not require immigration support or visa sponsorship now or in the future, including H-1B, TN, or STEM OPT Training Plans

Benefits

Comp & perks

Comprehensive medical, dental and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program
Paid holidays
16 paid volunteer hours
Various wellness programs
Career path planning
Continuing education
Pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
Remote or hybrid flexibility may be offered for active-duty military spouses, consistent with applicable policy and business needs