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Wells Fargo is seeking a GenAI Security Principal Architect to establish scalable, secure-by-design frameworks for the safe and compliant adoption of Generative AI across the enterprise, managing emerging threats, aligning with regulatory expectations, and accelerating innovation.

Requirements

• 7+ years of architecture experience
• 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
• 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

Responsibilities

• 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

Other

• Ability to travel up to 10% of the time
• Ability to lead cross-functional teams of ML engineers, data scientists, and security analysts, and communicates technical risks and mitigation strategies to executive leadership
• Relocation assistance is not available for this position
• This position is not eligible for visa sponsorship
• Bachelor's degree or equivalent experience