Wells Fargo Senior Software Engineering Manager - Fraud Technology 

United States, North Carolina, Charlotte 

739395216

About this role:

You will. This role requires a, ensuring theteam builds high-quality, scalable solutions while maintaining a strong engineering culture.

You’ll mentor engineers, contribute to technical decisions, provide architectural guidance, and ensure the successful delivery of critical work. We look for leaders who foster a culture of ownership, accountability, and continuous learning. You should have a strong technical foundation, experience solving complex engineering challenges, and a track record of building and scaling high-performing engineering teams.

This senior manager will be responsible for:

• Managing fraud models, pattern detection capabilities, improving the performance of existing fraud detection products and developing innovative fraud solutions using GenAI

• Lead the design, development, and management of innovative fraud and claims GenAI solutions across various fraud vectors impacting Wells Fargo or efficiency opportunities

• Work with the Fraud AI platform and product leaders/business partners to operationalize these capabilities and realize benefits and efficiency gains

In this role, you will:

• Manage a team of software engineers, engineering leads, and data scientists

• Focus on delivering GenAI commitments aligned to enterprise strategic priorities around fraud and claims mgmt.

• Build support for strategies with business and technology leaders

• Guide development of actionable roadmaps and plans for usage and deployment of GenAI capabilities

• Identify GenAI opportunities and strategies for continuous improvement of software engineering and data science practices

• Provide oversight to software craftsmanship, security, availability, resilience, and scalability of solutions developed by the teams or third-party providers

• Set management guidelines and partner with stakeholders to implement key fraud & claims GenAI initiatives

• Develop strategies for hiring engineering and GenAI / data science talent

• Lead implementation of projects and encourage engineering innovation

• Collaborate and influence all levels of professionals including more experienced managers

• Lead team to achieve objectives

• Interface with external agencies, regulatory bodies, or industry forums

• Manage allocation of people and financial resources for Technology Strategic Leadership

• Develop and guide a culture of talent development to meet business objectives and strategy

Required Qualifications, US:

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

• 3+ years of management or leadership experience

Desired Qualifications:

• Experience in building and operationalizing GenAI capabilities

• M.S. or PhD in Computer Science (especially AI/ML), Statistics, Engineering, or related fields

• Knowledge and expertise of fraud management tools and techniques

• Experience in communicating to executive management team regarding the condition of the portfolios and applicable fraud management strategies

• Research publications in prominent AI/ML venues such as conference or journals

• Strong expertise or background in foundational model capabilities from OpenAI, Anthropic, Meta, or Google incl. building agentic systems through usage of MCP is preferred

• Strong expertise in core AI topics such as deep learning (DL), reinforcement learning (RL), planning, information representation and retrieval, graphs, multiagent systems (MAS), and natural language processing (NLP)

• Practical experience with ML platforms such as Tensorflow/Keras, PyTorch, etc.

• Comfort with rapid prototyping and disciplined software development processes

• Practical software engineering experience in collaborative project settings

• Strong communication, interpersonal and negotiation skills to gain trust and achieve business objectives

• Ability to work in fast-paced ever-changing environment and the ability to juggle an array of tasks and individuals on tight timelines

• Innovative and capable of developing a highly analytical approach to solving problems

• Track record of recruiting, developing, and engaging highly talented teams

• Programming skills in Python, Julia, Java, C++, or similar programming languages used in production machine learning and data science.

Job Expectations:

• Be Humble: You're smart yet always interested in learning from others

• Work Transparently: You always deal in an honest, direct, and transparent way

• Take Ownership: You embrace responsibility and find joy in having the answers

• Learn More: You regularly self-educate and improve your skill set.

• Show Gratitude: You show appreciation and respect to those you work with

• Managing GenAI fraud and claims models, pattern detection capabilities, improving the performance and efficiency of existing fraud detection or claims products and developing innovative solutions using GenAI

Compensation for this role is between $144,400 to $300,000depending on skills and depth of experience

Travel may be required, 5-20%

This role is not eligible for VISA sponsorship

Pay Range

$144,400.00 - $300,000.00

17 Apr 2025

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.