Lead Specialty Software Engineer: Generative AI for Cyber Security

Wells Fargo•Minneapolis, MN

23h

About The Position

Wells Fargo is seeking a Lead Information Security Engineer in Technology as part of Cybersecurity. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
Guide the transition of AI components from initial POC to hardened, production-ready security tools
Promote quality engineering practices and provide technical mentorship to junior developers within the security domain
Design and manage complex data pipelines using Kafka and the ELK Stack to ingest and process massive telematics and security data streams
Architect and deploy secure, scalable microservices using Openshift, Kubernetes, and Cloud Run, ensuring robust container orchestration