AI Engineer

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Description

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Job Overview and Responsibilities

Senior AI Engineer – Cybersecurity supports efforts to mature AI security capabilities for United Airlines. You will be part of a cross-disciplinary Cyber team responsible for advancing enterprise security capabilities by integrating AI-driven innovation with modern cloud and Zero Trust architectures. In this role, the Senior AI Engineer will focus on designing secure and governed AI implementations across domains including identity, application, cloud, and security operations – partnering with IT, Product, and Engineering teams to ensure AI-driven tools and use cases operate accurately, securely, and safely across the enterprise. This role plays a key part in shaping scalable, secure, and compliant architectures that enable responsible AI adoption, enhance operational efficiency, and strengthen overall cyber resilience.
 

• Design and implement AI security controls across enterprise AI use cases, applications, and platforms to ensure secure, governed, and responsible adoption of AI capabilities.

• Define and operationalize controls for enterprise AI usage, including AI security gateways, policy enforcement, usage monitoring, and guardrails to mitigate risks such as prompt injection, data leakage, shadow AI, unauthorized AI usage, and model misuse.

• Architect and support SASE/SSE frameworks and Zero Trust Network Access solutions to enable secure, identity-driven access to enterprise applications, internet resources, and approved AI tools and services.

• Establish secure integration patterns for AI implementations with enterprise systems, including identity providers, SIEM, CI/CD pipelines, data protection platforms, and security monitoring capabilities.

• Lead threat modeling, architecture reviews, and security-by-design assessments for AI-enabled applications, cloud services, enterprise platforms, and AI use cases.

• Implement DLP strategies, context-aware access controls, and data protection requirements to prevent unauthorized data exposure and enforce least-privilege access across AI and cloud environments.