Lead Specialty Software Engineer: Generative AI for Cyber Security

Wells Fargo
San Francisco, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 305K

Job location

San Francisco, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Google BigQuery
Cloud Computing
Computer Security
Data Stores
DevOps
Github
Intrusion Detection and Prevention
Information Systems Security Architecture Professional
Python
PostgreSQL
Log Analysis
MySQL
NoSQL
Openshift
Ansible
Software Engineering
SQL Databases
Data Streaming
Systems Integration
Web Application Frameworks
Flask
Large Language Models
Generative AI
Backend
FastAPI
Kubernetes
Information Technology
Google Cloud Functions
Kafka
GraphQL
Data Management
REST
Terraform
Stream Processing
Data Pipelines
ELK
Microservices

Job description

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.

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., * Expert Python Development: Mastery of Python-based web frameworks including Flask (Quart) and FastAPI for building high-performance APIs., 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, * 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.

Benefits & conditions

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (https://www.wellsfargojobs.com/en/life-at-wells-fargo/benefits) for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

29 Apr 2026

***** 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.

About the company

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-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.

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