Role overview
Wells Fargo is seeking a Specialty Senior Software Engineer - AI Engineering within the Digital Technology & Innovation organization. This role plays a key part in developing the self-service MLOps framework, creating reusable AI engineering components, and enabling both real-time and batch inferencing for enterprise-scale AI applications. Expected to be hands-on engineering, cloud/on-prem integration, agentic AI frameworks, and modern AI development practices.
*In this role, you will:
AI Engineering, Frameworks & TPOps Development**
- Design, enhance, and maintain the Tachyon Predictive Ops (TPOps) self-service MLOps framework, enabling rapid experimentation, training, deployment, and monitoring of AI models.
- Build cloud-native MDLC (Model Development Lifecycle) capabilities including model registry, versioning, lineage, and reproducibility.
- Develop unified libraries, SDKs, and extensible components that accelerate both predictive and generative AI workflows.
- Implement reusable automation patterns for model training, validation, deployment, and governance.
What we're looking for
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Tags & focus areas
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