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# AI/ML Engineer

- **Company:** AI AI LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $143,320.0 - $273,930.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Computer Programming, Information Engineering, Data Mart, Data Systems, Graph Database, Python (Programming Language), Machine Learning, Software Engineering, Data Processing, Google Cloud, Cloud Platform System, Generative AI, Data Lakes, Data Management, Machine Learning Operations, Api Design, Data Pipelines
- **Published:** October 29, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pvbhu53mld

## About the Role

Required qualifications include a bachelor's degree or four years of relevant education and/or experience, along with at least six years of experience in machine learning engineering, data engineering, or software development implementing data solutions. Candidates should have at least two years of demonstrated technical leadership experience or experience leading teams.

You will bring extensive programming experience in Python, Java, or R, as well as strong data engineering expertise. Experience delivering end-to-end machine learning and AI or generative AI solutions is essential, including building, integrating, and optimizing data pipelines and preparing data for different consumers and products. Familiarity with data marts, data lakes, and operational analytics applications is expected.

Additional qualifications include experience delivering multiple projects using Agile methodologies, applying MLOps principles, and implementing automated workflows. Candidates should understand data science principles, stochastic modeling, machine learning, and advanced mathematical techniques. Strong communication skills are important, including the ability to explain complex technical concepts to technical and nontechnical audiences. Expert knowledge of at least one cloud platform and its relevant components, such as AWS SageMaker, is required. Experience mentoring junior technical team members is also expected.

## Description

USAA is seeking a Senior AI/ML Engineer to contribute across the full data management and machine learning lifecycle. In this role, you will analyze requirements, collect and process data, apply statistical methods, monitor model performance, and help ensure solutions meet relevant risk and compliance requirements. You will build and maintain technical systems that use machine learning models to support predictions, classification, and decision-making.

You will partner with data scientists, business stakeholders, architects, and engineering teams to develop and deliver machine learning, artificial intelligence, and generative AI solutions. This position also contributes to technical direction, promotes effective implementation practices, and supports the growth of other engineers through guidance and mentorship., Consult with data scientists and business partners on machine learning development and implementation approaches, and provide technical feedback within the technical lead community. Lead the engineering lifecycle, including requirements analysis, solution design, data pipeline engineering, testing, deployment, scheduling, application integration, API development, and production support.

Configure and manage AI and machine learning infrastructure in cloud and on-premises environments, including AWS, GCP, and graph databases. Collaborate with architects to shape implementation patterns, select suitable design approaches, and address complex solution requirements. Design and deliver technical solutions, prototypes, and proofs of concept, presenting complex work to leadership when appropriate. Help set team technical direction, mentor colleagues, and ensure business risks are identified, measured, monitored, and controlled in accordance with applicable policies and procedures.