Lead Security Engineer - Red Team - Plano, TX

Description

Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies.

Job Responsibilities

• Design, develop, and deploy enterprise-scale software applications and services, solving business problems through strong software engineering practices with a focus on secure-by-design, adversarial resilient AI-enabled systems.
• Participate in all SDLC phases—requirements analysis, solution design, documentation, implementation, testing, performance tuning, automation, production/non-production support, and release management—incorporating enterprise architecture standards into application designs.
• Translate functional and technical requirements into high-quality application modules and microservices, and develop secure, high-quality production code for both AI and non-AI components aligned to predefined architectural specifications.
• Design secure AI and software architectures, and conduct design and code reviews that challenge assumptions and validate security, quality, maintainability, and adversarial resilience.
• Develop and enhance security strategies and red teaming programs—defining AI red teaming methodologies, playbooks, and success metrics—while troubleshooting technical issues and creating scalable solutions.
• Conduct discovery, threat modeling, and adversarial testing on generative AI, RAG pipelines, and ML systems to identify vulnerabilities such as prompt injection, jailbreaking, data poisoning, and data leakage.
• Reduce AI/LLM vulnerabilities by adhering to industry standards and emerging AI safety research, evolving policies, testing protocols, and controls, and providing guidance on secure design, logging, monitoring, and compensating controls.
• Write unit/integration test cases and establish robust CI/CD quality gates, and handle production and non-production support by troubleshooting issues and improving operational readiness through monitoring, logging, and reliability enhancements.
• Lead evaluation sessions with external vendors, researchers, standards bodies, and internal platform/cloud security teams to probe designs, ensure secure infrastructure configuration, and bring emerging AI threat best practices into the organization.
• Collaborate directly with stakeholders across product, data science, cyber, legal, and risk to analyze requirements and recommend modifications during heightened vulnerability or regulatory change; manage backlog documentation and release management across environments; and foster a cross-functional team culture of diversity, equity, inclusion, and respect.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate threat modeling, vulnerability analysis synthesis, and security documentation, validating outputs and ensuring sensitive data is handled appropriately.
• Applies reuse-first, AI-assisted practices within SDLC/toolchain routines to strengthen security testing and control validation, ensuring traceability/auditability and alignment to resiliency and security expectations.

Minimum Education Required

High School/GED

Job_Category

Cybersecurity

Additional Qualifications/Responsibilities

• Formal training or certification in Public Cloud environment concepts and advanced hands-on experience with cloud-native AI services (e.g., Bedrock).
• Experience with threat modeling, discovery, vulnerability, and penetration testing (e.g., MITRE ATLAS, OWASP Top 10 for LLMs) and foundational cybersecurity concepts such as IAM, Authentication, OIDC, SAML.
• Practical experience with Infrastructure as Code (IaC) solutions like Terraform and CloudFormation.
• Proficiency in Python scripting.
• Strong understanding of AI/ML concepts and trends, with knowledge of AI red teaming foundational concepts to design and implement exercises for complex AI architectures.
• Ability to conceptualize, design, validate, and communicate creative technical solutions to enterprise-level security problems, including building internal tools, dashboards, and automation for red teaming activities.

Preferred Qualifications, Capabilities, and Skills

• Expertise in planning, designing, and implementing AI red teaming exercises and enterprise-level security solutions for generative AI, LLMs, and ML systems.
• Experience with specialized AI security/red teaming tools and frameworks (e.g., PyRIT, Garak, custom LLM evaluation harnesses) and contributions to AI security or open-source security projects.