• Design and architect enterprise-grade, secure AI security platforms that protect ML models, training pipelines, inference systems, and AI-driven applications from sophisticated adversarial attacks • Define and drive the technical vision and security roadmap for all AI/ML initiatives across the organization, embedding security into the complete AI lifecycle from development through deployment and monitoring • Lead architectural reviews and provide authoritative technical guidance on security architecture patterns, threat models, and risk mitigation strategies for AI systems • Establish security standards and frameworks for AI development, incorporating OWASP LLM Top 10, MITRE ATLAS, NIST AI Risk Management Framework, and other industry best practices • Develop security controls for AI model training, validation, deployment, and monitoring including input/output filtering, model integrity validation, and behavioral anomaly detection • Implement data security and privacy controls across AI workflows including sensitive data detection, data loss prevention for AI prompts and responses, and confidential computing techniques • Build automated security testing frameworks for continuous validation of AI model security posture and detection of adversarial attack patterns • Engineer AI-powered security detection systems leveraging machine learning for threat hunting, anomaly detection, and behavioral analytics • Communicate complex technical concepts to non-technical executives and business leaders, translating security risks into business impact and strategic recommendations • Serve as the technical authority and trusted advisor on AI security matters for senior leadership including CISO and CTO • Develop and enforce AI security governance policies, standards, and guidelines that ensure ethical, safe, and compliant use of AI across the enterprise • Establish AI model governance frameworks addressing model validation, bias detection, explainability requirements, and audit trails • Implement continuous monitoring and observability for AI systems to detect model drift, performance degradation, and security anomalies in real-time

• Conduct investigations of suspected cases of fraud or illegal activities against the company • Interview witnesses and gather necessary evidence • Evaluate information and determine credibility • Coordinate investigation assignments to outside agencies • Provide training and support to claims handling process

• Conduct investigations of suspected cases of fraud or other illegal activities against the Company, including interviewing, database inquiries, taking statements, and locating sources of information and witnesses. • Responsibilities include evaluating information to determine its credibility, referring, and coordinating investigation assignments to outside agencies. • Providing training and support to all departments in the claims handling process.

• Conducting technical and administrative tasks including preparing Risk Management Framework (RMF) artifacts • Defining cybersecurity requirements • Conducting cyber scans and generating associated reports for maintaining Authority to Operate (ATO) for multiple systems • Managing the cyber team’s tasking using JIRA • Working closely with the customer to define and prioritize the work across the Leidos and Government cyber teams • Reporting to the program Technical Director and coordinating with program management, engineering staff, and customer stakeholders