Lead AI (Artificial Intelligence) Engineer

at  Wells Fargo

APPLICANTS WITH DISABILITIES

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

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

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of Python Full Stack Engineering with Cloud Experience
• 5+ years of experience in building Microservices Applications
• 1+ years of Gen AI (Generative Artificial Intelligence) experience
• 2+ years of experience in running large scale compute on GPUs (Graphics Processing Units

Desired Qualifications:

• Experience with Cloud Native Application
• GCP (Google Cloud Professional) Certificate
• Experience on OpenShift
• Experienced in Spark and Big Data Technologies
• Reporting tool experience (Dremio, PowerBI)
• Experienced in Python, Spark, Cloud and Big Data Technologi

Wells Fargo is seeking a Lead AI (Artificial Intelligence) Engineer to join the Risk Technology Team within Enterprise Functions Technology (EFT). This role will partner with peer organizations to define design patterns that support model development, training, and production use in alignment with regulatory requirements, internal policies and guidelines and industry best practices. They will partner with the Model Governance team to ensure appropriate model lifecycle compliance and model approval prior to use. This role will be part of a team of multi-disciplined engineers working on Virtualization, Kubernetes, GenAI, Developer Experience, and Infrastructure as Code.

In this role, you will:

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of Python Full Stack Engineering with Cloud Experience
• 5+ years of experience in building Microservices Applications
• 1+ years of Gen AI (Generative Artificial Intelligence) experience
• 2+ years of experience in running large scale compute on GPUs (Graphics Processing Units)

Desired Qualifications:

• Experience with Cloud Native Application
• GCP (Google Cloud Professional) Certificate
• Experience on OpenShift
• Experienced in Spark and Big Data Technologies
• Reporting tool experience (Dremio, PowerBI)
• Experienced in Python, Spark, Cloud and Big Data Technologie

Job Expectations:

• This position is not eligible for Visa sponsorship.
• This position offers a hybrid work schedule.
• Relocation assistance is not available for this position