Cybersecurity Architect Principal, AI Guardrail

FIS•Atlanta, GA

About The Position

As a Principal Architect on FIS’s Enterprise Security Architecture team, you will focus on ensuring that AI agents built into FIS products and used by employees are secure. You will work with security engineering, technology, product, and risk teams to support innovation while protecting clients, data, and FIS’s reputation. The role involves designing secure architectures and reference patterns, leading threat modeling and security reviews, assessing agents’ authentication, access, approvals, monitoring, and logging, and establishing reusable security standards and controls. You will also track emerging AI threats and frameworks and mentor architects and engineers across the Cybersecurity organization.

Requirements

At least 10 years of cybersecurity experience, including several years as a senior or principal architect designing secure systems for large, complex organizations.
Industry certifications such as CISSP, CCSP, SABSA, or a cloud security architecture certification.
Hands-on expertise securing AI and LLM systems, including addressing prompt injection, data leakage, excessive permissions, and unsafe tool use.
Strong knowledge of identity, access, and data protection for autonomous agents, including authentication, authorization, logging, and sensitive-data protection.
Working knowledge of agent frameworks and protocols such as Model Context Protocol (MCP), LangChain, or similar orchestration tools.
Ability to create practical reference architectures and secure-by-design standards aligned with frameworks such as NIST AI RMF, OWASP Top 10 for LLMs, and ISO/IEC 42001.
Ability to explain AI risk, guide technical trade-offs, and build consensus across security, product, and technology teams in a regulated financial services environment.

Nice To Haves

Experience designing secure cloud infrastructure in AWS or Azure, including cloud authentication and identity federation, least-privilege access, network segmentation, secrets management, and data protection.
Background in financial services or another highly regulated industry.
Knowledge of emerging AI regulations and governance requirements, such as the EU AI Act, and experience translating them into practical design controls.

Responsibilities

Design secure architectures and reference patterns for enterprise infrastructure, products, and solutions incorporating AI agents.
Lead threat modeling and security design reviews for AI features, identify risks, and recommend practical fixes before launch.
Review how agents authenticate, what data and tools they can access, and how their actions are approved, monitored, and logged.
Create secure-by-design security standards and reusable controls that engineering teams can adopt.
Track emerging AI threats and industry frameworks.
Mentor architects and engineers across the Cybersecurity organization.