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. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. - Define and implement AI safety frameworks - Design system control and validation mechanisms - Collaborate with engineering teams to embed safety controls - Oversee testing and validation of AI behavior - Monitor system performance and risk indicators - Support incident response - Document safety standards and frameworks - Ensure compliance with governance requirements - Guide engineering teams on safe practices - Contribute reusable safety patterns - Participate in system design reviews - Drive continuous improvement - Strong leadership skills - Experience with governance frameworks - Understanding of validation techniques - Strong documentation ability - Cross-team collaboration - Risk management capability - Operational awareness - Mentorship experience Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - 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.