Full Stack Lead Security Engineer

Own security strategy and hands-on adversarial testing for AI and ML systems in a Cybersecurity & Technology Controls team focused on tamper-proof, audit-defensible software delivery.

Responsibilities

• Develop and improve security strategies, red teaming programs, and solution designs; troubleshoot technical issues and deliver scalable solutions
• Design secure AI and software architectures by reviewing and challenging designs and code to strengthen adversarial resilience
• Lower AI and LLM security vulnerabilities by applying industry standards and emerging AI safety research to update policies, testing protocols, and controls
• Partner across product, data science, cyber, legal, and risk to understand AI use cases and recommend changes during periods of heightened vulnerability or regulatory change
• Automate discovery and adversarial testing for generative AI, RAG pipelines, and ML systems to uncover vulnerabilities such as prompt injection, jailbreaking, and data poisoning
• Provide secure design guidance for AI applications, including logging, monitoring, and compensating controls
• Define and implement AI red teaming methodologies, playbooks, and success metrics; establish continuous testing and safe rollout practices for new AI models and features
• Coordinate with platform and cloud security teams to ensure secure infrastructure configuration and alignment with enterprise security architecture
• Track emerging AI threats by engaging external researchers, vendors, and standards bodies and translating best practices into organizational controls
• Support a team culture grounded in diversity, opportunity, inclusion, and respect
• Collaborate cross-functionally to influence senior stakeholders, align on AI risk tolerance, and drive mitigation priorities

Requirements

• Formal training or certification covering Public Cloud environment concepts, plus advanced hands-on experience with cloud-native AI services such as Bedrock
• Practical experience implementing Infrastructure as Code using Terraform and CloudFormation
• Proficiency in Python scripting
• Strong understanding of AI/ML concepts and trends, including foundational knowledge of AI red teaming to design and execute exercises for complex AI architectures
• Ability to conceptualize, design, validate, and communicate technical solutions for enterprise security challenges, including building internal tools, dashboards, and automation for red teaming activities

Technologies

• Bedrock, Terraform, CloudFormation, Python
• PyRIT, Garak
• MITRE ATLAS, OWASP Top 10 for LLMs
• IAM; Authentication; OIDC; SAML

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 AI security and red teaming tools/frameworks such as PyRIT, Garak, and custom LLM evaluation harnesses, including contributions to AI security or open-source security projects
• Experience with threat modeling, discovery, vulnerability, and penetration testing (for example, MITRE ATLAS, OWASP Top 10 for LLMs) and foundational cybersecurity concepts including IAM, Authentication, OIDC, and SAML

Benefits

• Competitive total rewards package, with base salary determined based on role, experience, skill set, and location
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation (cash and/or forfeitable equity)
• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Location: Plano, TX (onsite)