GenAI Security Principal Architect

• Lead enterprise-wide transformations by shaping GenAI security strategy, aligning AI systems with business goals, regulatory standards, and technical resilience
• Navigate a fast-evolving AI landscape, balancing innovation with risk, and converting abstract threats into scalable security strategies
• Define and execute the GenAI security roadmap, embedding secure-by-design principles, leading tech initiatives, ensuring regulatory compliance, mentoring talent, developing training, setting KPIs, reporting to leadership, and contributing to thought leadership
• Ensure GenAI systems are secure, reliable, and trustworthy by embedding robust controls into models, data pipelines, and deployment environments
• Address emerging threats like prompt injection and model inversion, requiring deep expertise in LLMs, multimodal models, and MLOps
• Design end-to-end security architectures, develops reusable patterns for threat detection and anomaly monitoring, and integrates these into enterprise platforms
• Contribute to internal standards, supports regulatory alignment, and drives innovation through patents, publications, and enterprise-wide consultation
• Manage technical and operational dependencies, adapts to evolving requirements, and coordinates across teams
• Plan, track, and deliver initiatives, providing technical oversight, resolving blockers, and ensuring quality
• Draft solution briefs, manage workstreams, and align implementations with strategic objectives

• 7+ years of architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 7+ years of experience in Implementing cloud-native security across Azure (OpenAI, ML Workspace, Key Vault, Defender for Cloud) and GCP (Vertex AI, IAM, VPC Service Controls, Confidential Computing)
• Deep expertise in securing GenAI systems, including LLMs, diffusion models, multimodal architectures, and agentic AI orchestration
• Skilled in mitigating threats such as prompt injection, model inversion, data poisoning, adversarial examples, and synthetic data risks
• Designs secure GenAI pipelines for training, fine-tuning, and inference, applying zero-trust principles, role-based access controls, and audit logging
• Threat modeling and red-teaming experience using frameworks like STRIDE, DREAD, MITRE ATLAS, and integrates tools like LangChain Guardrails, OpenAI Moderation API, LLM Firewall, and Microsoft Purview
• Experienced in microservices, event-driven architectures, API-first integration, containerization (Docker, Kubernetes), and scalable deployment of GenAI solutions
• Familiar with governance frameworks including NIST AI RMF, EU AI Act, ISO/IEC 27001, SOC 2, and responsible AI principles such as fairness, transparency, and accountability
• Experience with third-party GenAI services using platforms like Securiti.ai, and contributes to internal standards and reference architectures
• Experience collaborating across cybersecurity domains including IAM, DLP, SaaS, cloud, and data center security, ensuring alignment with enterprise risk and compliance goals
• Ability to lead cross-functional teams of ML engineers, data scientists, and security analysts, and communicates technical risks and mitigation strategies to executive leadership

Ability to travel up to 10% of the time

• 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
• May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards