Technology Director – Cybersecurity Engineering

Wells Fargo

. Lead strategic engineering initiatives including the AI Security Test Harness, unified findings and thematic risk analysis, AI Security and Threat Assessment Automation, Mindgard.ai, and Cisco Cyber Defense AI .

Posted 10/20/2026full-timeUnited StatesLead💰 $215,000 - $355,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading strategic engineering initiatives, particularly in AI/ML and cybersecurity, while managing high-performing teams and aligning engineering efforts with business objectives. Proficient in evaluating and integrating advanced technologies and frameworks to enhance security and operational efficiency.

Highest-signal resume keywords

Technology Strategic LeadershipAI/ML Solutions DeliverySoftware Engineering ExperienceMicroservices DesignTeam Building and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Security Test HarnessMachine Learning LifecycleMLOps PracticesPythonTensorFlowPyTorchSparkGenerative AI FrameworksRetrieval-Augmented GenerationScalable Microservices

Soft Skills

Problem-Solving SkillsBusiness AcumenCommunication Skills

Tools & Technologies

Hugging FaceVertex AIDatabricksLangChainVector DBsGitHub Copilot

Industry Keywords

CybersecurityEndpoint SecurityPrivileged Access GovernanceComplianceEthical Standards

Tech Stack

Tools & technologies

CloudCyber SecurityMicroservicesPythonPyTorchSparkTensorflow

About the role

Key responsibilities & impact

Lead strategic engineering initiatives including the AI Security Test Harness, unified findings and thematic risk analysis, AI Security and Threat Assessment Automation, Mindgard.ai, and Cisco Cyber Defense AI
Lead enterprise-scale Just-in-Time access management solutions focused on endpoint security controls, privileged access governance, and secure-by-design solutions
Define roadmaps and architecture with product managers, data scientists, platform teams, and security experts
Provide technical leadership in design reviews, code reviews, and architecture discussions
Track industry trends in AI, ML, GenAI, and cybersecurity and introduce innovative approaches and tools
Guide adoption and implementation of enterprise AI/ML platforms and champion custom-built solutions when needed
Build, manage, and mentor a high-performing engineering team
Ensure engineering practices meet security, performance, and scalability standards
Partner with cross-functional leaders to align engineering efforts with business objectives
Define and track KPIs and OKRs for engineering execution, team growth, and solution impact
Serve as the technical representative for the product during cross-team collaboration and planning
Identify and recommend opportunities to resolve technology roadblocks involving code, build, and deployment
Manage the overall software development cycle and security standards
Develop business cases and executive technical roadmaps
Evaluate build-versus-buy technology options
Influence architectural designs and drive cross-functional execution across cybersecurity, identity, product engineering, infrastructure, and operations
Apply AI to accelerate system design, coding, testing, analysis, and troubleshooting
Validate and integrate AI-assisted outputs while accounting for model limitations, security risks, and operational considerations
Ensure AI usage aligns with security, compliance, privacy, and ethical standards

Requirements

What you’ll need

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 desired
3–5 years in a managerial or technical leadership role desired
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, including logs, telemetry, user behavior, and threat intelligence
Hands-on experience with Python, TensorFlow, PyTorch, Spark, Hugging Face, Vertex AI, Databricks, LangChain, Vector DBs, or similar technologies
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 ability to communicate complex technical concepts to non-technical stakeholders
Demonstrated experience building and nurturing strong, diverse engineering teams
Experience with Generative AI frameworks such as OpenAI, Anthropic, Mistral, and LLaMA
Experience with Retrieval-Augmented Generation (RAG)
Demonstrate proficiency in AI-assisted development and analysis tools, such as GitHub Copilot and approved code-centric agents
Position is not eligible for Visa sponsorship

Benefits

Comp & perks

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
Incentive opportunities may be available