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AI Engineering Lead - Signals

Truist
United Statesfull_timeVerifiedPosted 18 May 2026

About the role

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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

***This role is 5 Days a week in the Charlotte Corporate Office Downtown***

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

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.

  • 8–10 years of relevant experience

  • Core Domain Experience: System safety or validation/ Implementing enterprise controls/ Understanding of risk management/ Working cross-functionally/ Lead technical initiatives

Additional 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

Preferred Qualifications:

• Experience with AI safety systems
• Familiarity with workflow governance
• Experience in regulated environments (preferred)
• Exposure to advanced validation methods
• Leadership in safety initiatives
• Strategic oversight capability

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting (if checked, indicate frequency)

Constantly (More than 50% of the time)

Visual / Audio / Speaking

Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.

M

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Company

Truist

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