below marketmost similar roles pay hereabove market
This role pays more than
80%
of similar roles. Most pay
$180,187–$261,062
— the blue band above.
At the midpoint, this role pays about
$285k
versus about
$221k
for comparable roles.
Based on 240 similar postings.
Employer
About Wells Fargo
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has
23 open roles
on FindRole.
Listed pay typically runs
$159,000–$254,000
across 9 roles with salary data.
The Technology Director - Cybersecurity Engineering leads a team of advanced software engineers to develop next-generation security solutions. This role focuses on engineering automated SaaS assurance, AI security validation, cyber risk intelligence, and Just in Time access management. Key responsibilities include leading strategic initiatives like the AI Security Test Harness, driving thematic risk analysis, and managing enterprise-scale privileged access governance. The position requires building technical roadmaps, evaluating build-versus-buy options, and overseeing the software development cycle. Candidates must possess expertise in AI/ML, GenAI, and MLOps, utilizing tools such as Python, TensorFlow, PyTorch, Spark, Hugging Face, Vertex AI, Databricks, LangChain, and Vector DBs. The work addresses cybersecurity risks introduced by cloud-native technologies and automated software delivery, ensuring secure-by-design solutions across identity, infrastructure, and operations.
Lead strategic engineering initiatives for AI security test harnesses and threat assessment automation.
Manage enterprise-scale Just-in-Time (JIT) access management solutions for endpoint security and privileged access.
Develop business cases and executive technical roadmaps for next-generation security assessment and SaaS assurance.
Evaluate build-versus-buy technology options and influence architectural designs across cybersecurity and infrastructure.
Build, manage, and mentor a high-performing team of advanced software engineers.
Provide technical leadership in design reviews, code reviews, and cross-functional architecture discussions.
Define and track KPIs and OKRs for engineering execution, team growth, and solution impact.
Identify and resolve technology roadblocks related to code, build, and deployment cycles.
What we're looking for
10+ years of Technology Strategic Leadership experience, or equivalent demonstrated through work experience, training, military experience, or education.
4+ years of management or leadership experience.
10+ years of software engineering experience with at least 3–5 years in a managerial or technical leadership role (preferred).
Proven experience delivering AI/ML and GenAI solutions, preferably in cybersecurity or a related high-security domain (preferred).
Strong knowledge of machine learning lifecycle, LLMs, MLOps practices, model deployment, and monitoring (preferred).
Hands-on experience with modern data and AI stacks including Python, TensorFlow, PyTorch, Spark, Hugging Face, Vertex AI, Databricks, LangChain, and Vector DBs (preferred).
Experience designing scalable microservices and data pipelines in a hybrid cloud environment (preferred).
Experience with Generative AI frameworks and Retrieval-Augmented Generation (RAG) (preferred).