Lead Specialty Software Engineer: Generative AI for Cyber Security

Location: MINNEAPOLIS, MN, ISELIN, NJ

Time Type: Full time

Job Description

About this role:

Wells Fargo is seeking a Lead Information Security Engineer in Technology as part of Cybersecurity. Learn more about the career areas and lines of business at wellsfargojobs.com.

In this role, you will:

• Lead complex initiatives on selected domains
• Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
• Define opportunities to maximize resource utilization and improve processes while reducing cost
• Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
• Resolve coding, testing and escalated platform issues of a technically challenging nature
• Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
• Mentor less experienced software engineers
• Collaborate and influence all levels of professionals including managers
• Lead team to achieve objectives
• Partner with production support and platform engineering teams effectively
• AI Security Innovation: Lead the design and development of full-stack AI proof-of-concept (POC) applications specifically for cyber security use cases, such as automated vulnerability mapping and intelligent log analysis.
• Production Engineering: Guide the transition of AI components from initial POC to hardened, production-ready security tools.
• Architecture & Mentorship: Promote quality engineering practices and provide technical mentorship to junior developers within the security domain.
• System Integration: Design and manage complex data pipelines using Kafka and the ELK Stack to ingest and process massive telematics and security data streams.
• Cloud Infrastructure: Architect and deploy secure, scalable microservices using Openshift, Kubernetes, and Cloud Run, ensuring robust container orchestration.

Required Qualifications:

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

Desired Qualifications:

• Expert Python Development: Mastery of Python-based web frameworks including Flask (Quart) and FastAPI for building high-performance APIs.
• Generative AI & Search: Proven experience leveraging embeddings, generative AI models, and advanced search techniques to prove business value.
• Data Management: Deep knowledge of both SQL and NoSQL environments, including PostgreSQL, MySQL, Google Datastore, and BigQuery.
• DevOps & Infrastructure: Experience with Terraform, Ansible, and GitHub Actions for managing infrastructure as code across GCP and AWS.
• Security-Minded Backend: Background in building RESTful and GraphQL APIs with a focus on loose coupling and high performance for large-scale usage.

We are seeking a Lead Specialty Software Engineer to spearhead the integration of Generative AI into our Cyber Security Architecture and Engineering division. This role requires a pragmatic software generalist with a deep understanding of computer systems, networking, and stream processing. You will lead a team in developing state-of-the-art Python-based AI applications that leverage LLMs, embeddings, and semantic search to enhance our security posture, automate threat detection, and streamline architectural compliance.
 

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

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

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

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.

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.