Senior Engineer - Enterprise AI Risk (Remote)

United Airlines•Chicago, IL

1d•$112,480 - $146,540•Remote

About The Position

The Responsible AI Tech Senior Engineer implements secure infrastructure and technology integrations to support Cybersecurity and internal business partners. The role ensures solutions are secure by design, launches tools, and builds agents and software to automate compliance with United’s cybersecurity policies. The engineer works with Digital Technology, business teams, and Cybersecurity partners. The position focuses on implementing and maintaining responsible AI systems and external software intended to protect customer data and reduce risk in accordance with legal and regulatory guidelines. The engineer integrates and maintains these capabilities across organizational systems, supports the product owner through the product development lifecycle, and provides ongoing operational support. The role requires a deep understanding of privacy and responsible AI principles, protocols, and practices, and execution of designs provided by Cybersecurity architects. The role is part of United Airlines’ Cybersecurity and Digital Risk team, which works to protect airline operations by enabling secure and resilient systems, managing threats and vulnerabilities, and supporting response and recovery.

Requirements

Bachelor’s degree required; a degree in STEM, Cybersecurity, or Computer Science is preferred.
At least 3 years of related experience.
Strong understanding of artificial intelligence and how it is built and used at large enterprises.
Knowledge of AWS Bedrock, Anthropic, OpenAI, Agent365, Microsoft Copilot Studio, or other generative AI tools.
Ability to navigate complex system architecture across multiple development teams, partner to determine root causes, and work toward shared bug fixes.
Expertise in modern software lifecycle development and automated cloud infrastructure deployment, with creativity in developing dynamic solutions and solving problems.
Understanding of policies that reflect Cybersecurity objectives, and ability to determine how systems work and how changes in conditions, operations, or the environment affect outcomes.
Ability to communicate with all levels of management, including effective interpersonal skills, approachability, listening, and adapting communication style to the audience.
Ability to work in a dynamic environment with strict deadlines and handle multiple activities concurrently.
Must be legally authorized to work in the United States for any employer without sponsorship.
Successful completion of an interview is required.
Reliable, punctual attendance is an essential function of the position.

Nice To Haves

Master’s degree.
Risk management experience or knowledge.
CISA, CISM, CISSP, CIPP, or CIPT certification.
Hands-on experience with AI governance vendors and AI tools or platforms such as AWS Bedrock, Anthropic, OpenAI, Agent365, Microsoft Copilot Studio, or other generative AI tools.
Knowledge of organizational standards and policies such as ISO and NIST.
Knowledge of compliance regulations such as SOX, PCI, FAA, GDPR, and PII.

Responsibilities

Implement and administer responsible AI agents and APIs within key systems and platforms.
Develop and integrate Cybersecurity software with other business areas throughout the product development lifecycle, including new feature requests.
Maintain responsible AI systems and external software that protect customer data and reduce compliance risk.
Respond to break/fix requests involving responsible AI applications, models, and middleware; monitor the environment; and support change management for development, QA, and production environments.
Respond to responsible AI outages and assist with generative AI incidents.
Ensure Cybersecurity implementations and integrations meet regulatory, compliance, and internal requirements and align with the Cybersecurity and Digital Risk strategy for current and future AI legislation.
Maintain Cybersecurity policies, standards, and procedures.
Provide reports as requested for compliance.
Work with internal stakeholders to assess potential compliance areas, identify gaps, and ensure compliance with data protection and responsible AI regulations.
Collaborate with development teams inside and outside Cybersecurity.
Provide guidance on implementing and using Cybersecurity capabilities in enterprise systems.
Support the product owner as part of the product development lifecycle.