Technology Director - Cybersecurity Engineering

About This Role

Wells Fargo is seeking a Technology Director for Cyber Engineering. This role focuses on engineering solutions for our next-generation security assessment, automated SaaS assurance, AI security validation, cyber risk intelligence, and Just in Time access. These capabilities enhance the firm's ability to continuously assess, validate, and assure cybersecurity controls. The impact of this role extends beyond individual proofs of concept, helping shape the future direction of Cyber Engineering across emerging technology domains.

Key Responsibilities

• Leading strategic engineering initiatives such as the AI Security Test Harness
• Driving unified findings and thematic risk analysis
• Advancing AI Security and Threat Assessment Automation
• Partnering with cyber engineering leaders on initiatives such as Mindgard.ai, and Cisco Cyber Defense AI
• Leading the enterprise-scale Just-in-Time (JIT) access management solutions focused on endpoint security controls, privileged access governance, and secure-by-design solutions

Required Qualifications

• 10+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of management or leadership experience

Desired Qualifications

• 10+ years of software engineering experience with at least 3-5 years in a managerial or technical leadership role
• Proven experience delivering AI/ML and GenAI solutions, preferably in cybersecurity or a related high-security domain
• Strong knowledge of machine learning lifecycle, LLMs, MLOps practices, model deployment and monitoring
• Familiarity with enterprise cybersecurity use cases and data sources (e.g., logs, telemetry, user behavior, threat intelligence)
• Hands-on experience with modern data and AI stacks (e.g., Python, TensorFlow, PyTorch, Spark, Hugging Face, Vertex AI, Databricks, LangChain, Vector DBs, etc.)
• Experience designing scalable microservices and data pipelines in a hybrid cloud environment
• Proven ability to evaluate and integrate third-party enterprise tools and open-source frameworks
• Strong problem-solving skills, business acumen, and the ability to communicate complex technical concepts to non-technical stakeholders
• Demonstrated experience building and nurturing strong, diverse engineering teams
• Experience with Generative AI frameworks (e.g., OpenAI, Anthropic, Mistral, LLaMA, etc.) and Retrieval-Augmented Generation (RAG)

Job Expectations

• This position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship
• 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

Pay Range

$215,000.00 - $355,000.00

Benefits

• 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