Senior Engineer - Enterprise AI Risk (Remote)

Description

Job Overview and Responsibilities

The Responsible AI Tech Senior Engineer's primary responsibility is to implement the proper security infrastructure and technological integrations to enable the needs of both Cybersecurity and its internal business partners. They would be responsible for making sure such infrastructure is secure by design as well as launching new tools and building agents/ software for automating compliance within the scope of United's cybersecurity policies. The Senior Engineer will work closely with Digital Technology, UA business teams (marketing, advertising, etc.), and other Cybersecurity partners.

The Senior Engineer will be focused on the implementation and on-going maintenance of our evolving responsible AI systems and external software which is aimed at protecting customer data and reducing risk in compliance with external legal and regulatory guidelines. The Senior Engineer will work closely with other development teams and consumers of these services. They will serve as key contacts within Cybersecurity responsible for the integration and upkeep as well as support the Product owner as part of product development lifecycle.

The Senior Engineer requires a deep understanding of privacy and responsible AI principles, protocols, and best practices. This is senior-level position that is able to execute the implementation of designs provided by Cybersecurity architects and ensures these capabilities are adopted and successfully integrated with systems across the organization while providing ongoing support and maintenance for Cybersecurity processes and technology.

• Implementation and administration of responsible AI centric Agents/APIs within our key systems and platforms including developing and integrating Cybersecurity software with other parts of the business in conjunction with the product development lifecycle, including new feature requests.
• Respond to break/fix requests specific to RAI applications/models/middle-ware, monitor environment, support Digital Technology in any change management process for development, QA, and production environments.
• Respond to RAI outages and assist in GenAI incidents.
• Ensure Cybersecurity implementations and integrations adhere to regulatory, compliance, and internal requirements and is aligned to overall CDR strategy with regards to AI legislation both ratified and future state.
• Maintain Cybersecurity policies, standards, and procedures.
• Provide reports as requested for compliance.
• Work closely with internal stakeholders to evaluate potential compliance areas to identify gaps and ensure full compliance with data protection & responsible AI regulations.
• Collaborate with other development teams, both inside and outside of Cybersecurity.
• Provide guidance on the implementation and usage of Cybersecurity capabilities in enterprise systems.

Qualifications

What's needed to succeed (Minimum Qualifications):

• Bachelor's degree required, with preference for STEM, Cybersecurity, Computer science
• 3+ years of related experience
• A strong level of understanding of artificial intelligence and how it's built and used at large enterprises.
• Knowledge of AWS Bedrock, Anthropic, OpenAI, Agent365, Microsoft Copilot Studio, or other generative AI tools.
• Skill in navigating complex system architecture across multiple development teams with the ability to partner to determine root cause, and work toward shared bug fixes.
• Expertise of modern software lifecycle development and automated cloud infrastructure deployment and creativity for dynamic solutions and problem-solving skills.
• Understanding of policies that reflect Cybersecurity objectives. Ability to determine how a system works and how changes in conditions, operations, or the environment will affect these outcomes.
• Skill in communicating with all levels of management (e.g., interpersonal skills, approachability, effective listening skills, appropriate use of style and language for the audience)
• Ability to perform in a dynamic environment to strict deadlines, with the ability to address multiple activities concurrently.
• Must be legally authorized to work in the United States for any employer without sponsorship
• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

• Master's degree
• Risk Management
• CISA, CISM, CISSP,CIPP, CIPT
• Hands on experience with Ai Governance vendors and AI tools/platforms like AWS Bedrock, Anthropic, OpenAI, Agent365, Microsoft Copilot Studio, or other generative AI tools.
• Knowledge of organizational standards and policies (ISO, NIST)
• Knowledge of compliance regulations (SOX, PCI, FAA, GDPR, PII)

Job Post Expiration: 12/3/2026