AI Engineering Lead- AI Safety

Truist•Charlotte, NC

2d•Onsite

About The Position

The AI Engineering Lead – AI Safety is responsible for defining, implementing, and governing safety controls across AI-enabled systems. This role ensures systems operate within defined boundaries, minimizing operational, regulatory, and reputational risk. The role operates within an engineering and governance framework responsible for embedding safety into system design and delivery. The leader collaborates across engineering, QA, and risk functions to ensure safety is systematically enforced. This position delivers safety frameworks, evaluation mechanisms, and control systems governing AI behavior. Deliverables include safety standards, monitoring solutions, and validation processes. The AI Engineering Lead operates within the Forge model, ensuring rapid AI deployment is aligned with strict safety and governance standards. The technical scope includes safety validation systems, monitoring controls, and workflow governance mechanisms. This role influences the full lifecycle, from design through deployment and operation. Work expectations require strong cross-functional collaboration.

Requirements

Strong leadership skills
Experience with governance frameworks
Understanding of validation techniques
Strong documentation ability
Cross-team collaboration
Risk management capability
Operational awareness
Mentorship experience
Bachelor’s degree or equivalent education, training, and work-related experience.
Minimum of 10 years of experience in security engineering or related cybersecurity roles.
Deep specialized knowledge in cybersecurity principles, theories, and concepts.
Extensive experience in software development lifecycle security practices.
Expertise in threat modeling, security testing, and penetration testing.
Proven experience implementing and managing complex information security technologies.