Wells Fargo is seeking a Senior Specialty Software Engineer (AI Infrastructure) to help design, build, and evolve the next generation of AI and machine learning infrastructure powering critical risk, finance, and forecasting capabilities across the enterprise. This role will focus on developing and supporting the Python-based Model Development Platform (MDP), core SDKs, and shared infrastructure that enable data scientists, model developers, and engineering teams to build, train, deploy, and manage AI/ML solutions at scale.
As part of a highly skilled engineering team, you will help accelerate the adoption of AI technologies by delivering scalable GPU-enabled computing solutions, reusable developer frameworks, and cloud-native platforms that support both traditional analytics and emerging generative AI use cases. You will work at the intersection of AI, cloud computing, distributed systems, and platform engineering, helping shape the foundation that supports some of the firm's most critical modeling workloads.
This role offers the opportunity to work with modern open-source and cloud technologies, including Python, Spark, Airflow, Django, React, Kubernetes, OpenShift AI, Vertex AI, DataProc, Kafka, and REST-based architectures, while building enterprise-scale solutions in a highly regulated environment.
Our platform follows an API-first strategy and integrates with leading open-source Apache and Linux Foundation AI ecosystems, as well as commercial technologies such as Dremio, OpenShift AI, Google Cloud Platform, Power BI, and other emerging AI platforms. Through these integrations, you'll help deliver self-service capabilities that enable end-to-end model development, deployment, batch processing, and real-time inferencing across Wells Fargo.
