Senior Specialty Software Engineer - AI Infrastructure

About this role:

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.

In this role, you will:

Build and maintain the AI/ML infrastructure layer to enable GPU computing on the private / public hybrid cloud environment

Develop solutions to enable GPU based modeling capabilities to Wells Fargo model risk management users in a controlled and efficient manner

Define and implement API based SDKs or re-usable libraries to enable broader adoption of AI capabilities on a shared analytics platform

Use a variety of languages, tools, and frameworks to marry data and systems together. Collaborate with modelers, developers, DevOps, and project managers on meeting project goals

Serve as a technical resource in finding AI based software solutions

Review and evaluate user needs and determine requirements

Provide technical support, advice, and consultation with the issues relating to supported applications

Design, code, test, debug and document programs using Agile development practices

Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives

Conduct research and resolve problems in relation to processes and recommend solutions and process improvements

Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals

Required Qualifications:

4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

4+ years of hands-on Python development experience

3+ years of AI/ML experience in the domain of GPU based model training and inferencing solutions

2+ years of RESTful API design and development experience

2+ years of experience with Big Data tools such as Spark, Hive, Kafka

2+ years of experience with GPU resource management systems such as Run AI or OpenShift AI

Desired Qualifications:

Prior experience with Wells Fargo Systems

2+ years of experience in designing, building, and deploying cloud solutions within Agile framework in a highly matrixed environment

Job Expectations:

Required to be on-site in location posted, pursuant to Wells Fargo hybrid schedule policy

Posting End Date:

10 Aug 2026

Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

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.