AI/ML Engineer - Senior Level
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 19, 2026. USAA scores A on the Alion truth index.
Why USAA?
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.
What you have:
- 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.
Compensation range: The salary range for this position is: $143,320 - $273,930
USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.