Wells Fargo Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 in Shoreview, Minnesota

At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Enterprise Finance & Information Technology offers technology and services that exceed Wells Fargo customers’ expectations and directly enable them to succeed financially. We interact with customers more than 12 billion times a year through in-store, online, ATM, and telephone transactions. We impact customers directly, through systems availability and security, as well as indirectly, through our business partners who offer and deliver a myriad of products and services that meet customers’ financial needs. We provide a competitive advantage for the company through excellence in fundamentals, integrated partnerships, and our talented and engaged team members.

*Role Overview:*

Enterprise Core Services Group

Enterprise Core Services (ECS) was recently formed to be one of the foundational horizontal organizations within Enterprise Information Technology (EIT) / Enterprise Chief Information Office (ECIO) in addition to Enterprise Platform Services and Enterprise Architecture. The primary mission for core services is the delivery of technology solutions with sustainable compliance, efficiency and innovation across the bank. As ECS moves forward the big opportunity is to create common solutions and services that are measurable and that the entire Wells Fargo enterprise can take advantage of to simplify, modernize and transform.

Customer Enablement and Business Automation Team

The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and strategic customer enablement and business automation services and capabilities to technology, business and operations teams across Wells Fargo, integrating seamlessly with the firm’s strategic data and analytics ecosystem.

Artificial Intelligence Enterprise Solutions Technology Team

The Artificial Intelligence Enterprise Solutions (AEIS) Technology Team enables the Enterprise to leverage the full capabilities of Artificial Intelligence to deliver insightful and personalized experiences for customers and team members, drive greater operational efficiency, while reducing risk and expenses and driving revenue. The focus is to develop and implement a foundational AI strategy for the Enterprise. Provide products and services to customer and business use case needs to be met, allowing our users to optimize how work is done through the leveraging of Artificial Intelligence capabilities. AI Technology plays a critical role in enabling our business partners through innovative technology solutions. The Team organizational model is designed to more effectively manage our portfolio of applications, govern enterprise IT, manage risk, simplify our technology offerings, and execute on our business partners’ priorities with enhanced time to market.

*The Role:*

The Artificial Intelligence Enterprise Solutions (AIES) group was formed in early 2017 with the mandate to enable the enterprise to leverage the full capabilities of Artificial Technology (AI), Natural Language Processing (NLP) and Machine Leaning (ML) technology for delivering insightful and personalized experiences for customers and team members, driving innovation, greater operational efficiency, and better managing risk. The AI Technology team is creating a unified enterprise Machine Learning (ML) Platform that will enable end to end solution for other business lines to build and deploy their ML models and is responsible for supporting Data Science activities across the enterprise. The AI Technology Team primary challenge is to get the Platform to a mature state and operationalized at an industrial scale for the firm in compliance with all relevant corporate technology, data and model operations policies and processes.

This is an opportunity to join a start-up within a large organization. Be flexible and adaptable – this is an evolving space, we’re going to learn, things will change. Be curious and creative – help us find solutions and chart the course. Be action-oriented – we need to roll up our sleeves, work hard, and get a lot done. Need to be willing to act as an individual contributor or as a “hands-on doer” technology leader.

Job Description:

The AIES Technology AI/ML Production Operations Team is looking for a highly motivated and experienced lead technology professional with platform management and operations expertise in a machine learning framework. The role will require the candidate to manage a small team to install, configure, and support machine-learning tools on Machine Learning Platform. The individual will be responsible for post-production support of the Platform.


  • AI platform operations management and engineering technology leadership

  • Installing and configuration of the machine learning tools

  • Coordinating with Hadoop team to install necessary software for machine learning

  • Post production support of the ML Platform

  • Work with users to coordinate the access to environments

  • Support of batch processing applications

  • Support of REST API services

  • Working collaboratively with business and technical leaders, sponsors, and analysts on problem understanding, requirements and architecture discovery, analyze complex business requirements, data analysis and modeling, designs and writes functional and technical specifications

  • Exhibit high degree of flexibility to changing requirements

  • Recommending process improvements

  • Ensuring timely and effective communications to key stakeholders

  • Proactively designing and implementing new operational and support practices, processes and procedures

  • Researching and resolving one-off queries and issues forwarded by stakeholders

  • Developing solutions in a timely and proactive manner

  • Process efficiency/improvement leadership

  • Management routines and internal communications

  • Ad hoc reporting/data analysis

Required Qualifications:

  • 10+ years of application development and implementation experience

  • 3+ years of leadership experience

  • 5+ years of Middleware experience

Desired Qualifications:

  • Excellent verbal, written, and interpersonal communication skills

  • 3+ years of experience with machine learning tools

  • 2+ years of Hadoop experience

  • 3+ years of experience in Java or Python NLP machine learning frameworks such DL4J or ND4J

  • Experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant

  • Experience with Spark, Hive and Kafka

  • SDLC (System Development Life Cycle) experience

  • Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations

  • Knowledge and understanding of project management methodologies: used in waterfall or Agile development projects

  • Strong analytical skills with high attention to detail and accuracy

  • Outstanding problem solving and decision making skills

  • Strong organizational, multi-tasking, and prioritizing skills

  • Ability to interact with a diverse team

  • 4+ years of financial industry experience

  • Ability to articulate complex concepts in a clear manner

  • Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members

  • Ability to influence across all organizational levels, particularly senior management

  • Ability to execute in a fast paced, high demand, environment while balancing multiple priorities

  • Ability to work on call as assigned

  • Ability to work nights, weekends, and/or holidays as needed or scheduled

Job Expectations:

  • Ability to work on call as assigned

  • Ability to work nights, weekends, and/or holidays as needed or scheduled

How to Express Interest in This Job: Wells Fargo invites you to apply for this job at https://employment.wellsfargo.com/psc/PSEA/APPLICANTNW/HRMS/c/HRSHRAMFL.HRSCGSEARCHFL.GBL?Page=HRSAPPJBPST_FL&FOCUS=Applicant&SiteId=1&JobOpeningId=5418013&PostingSeq=1.

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.