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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:

The Head of AI Enablement is a senior technology leader responsible for designing and deploying enterprise-grade AI and GenAI solutions across Truist Protection Services. Reporting directly to the Chief Security Officer this leader partners with business executives product managers and engineering teams to translate business requirements into scalable production-ready AI applications that drive measurable value.

This role is hands-on and technically deep blending engineering expertise in LLMs agentic frameworks and applied ML with the ability to engage directly with business stakeholders. The ideal candidate has built and deployed AI platforms or intelligent products in a technology-first environment demonstrating fluency in system design data architecture and model integration.

Acting as both architect and catalyst the Head of AI Engineering & Enablement leads cross-functional squads to develop prototypes operationalize AI agents and integrate cognitive capabilities into existing business platforms. They ensure solutions are built with security ethics and performance at scale while establishing engineering patterns that accelerate adoption across all LOBs.

This role requires a rare combination of technical acumen strategic agility and executive presencesomeone who can earn credibility with engineers and inspire confidence from business leaders. Candidates from technology or product companies are strongly preferred; those from financial services must demonstrate equivalent experience delivering engineered AI products not program oversight.

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.

1. Translate complex business requirements into engineered AI and GenAI solutions that deliver measurable business outcomes.

2. Architect and lead the development of LLM-based agentic and machine-learning systems that integrate with enterprise data and technology platforms.

3. Guide engineering teams in model development fine-tuning and deployment ensuring performance security and compliance.

4. Build reusable frameworks APIs and components to accelerate AI adoption across product lines.

5. Partner directly with the TD&O Divisional Leaders and their engineering product and operations teams to identify high-impact use cases and embed AI capabilities into existing workflows.

6. Serve as a trusted engineering partner to business executives translating strategic goals into technical blueprints.

7. Foster a builder culture rooted in experimentation delivery and responsible innovation.

8. Establish and enforce AI engineering standardsincluding model observability version control and performance telemetry in partnership with Enterprise Architecture and the Policy Standards Practices Governance team.

9. Stay ahead of emerging AI technologies tools and frameworks; continuously assess opportunities to integrate frontier capabilities.

QUALIFICATIONS
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.

1. Technical Expertise: Proven experience designing deploying and maintaining AI or GenAI systems in productionsuch as LLM-based solutions agentic architectures or advanced ML pipelines.
2. Engineering Leadership: 10 years leading product platform or applied AI engineering teams in high-scale environments (e.g. cloud SaaS fintech or large-scale enterprise systems).
3. Architectural Fluency: Deep understanding of modern AI infrastructure including vector databases model orchestration RAG pipelines and MLOps/DevOps integration.
4. Applied Business Translation: Ability to engage directly with business leaders to convert strategic goals into technical blueprints and deliver working solutions.
5. Ethical and Regulatory Awareness: Demonstrated knowledge of Responsible AI frameworks model risk governance and secure data management practices in regulated industries.
6. Communication and Influence: Ability to earn trust across senior leadership from CIOs to product executives by articulating AIs value in business terms.
7. Education: Bachelors degree in Computer Science Engineering Data Science or a related technical field (advanced degrees preferred) or equivalent experience.

Preferred Qualifications:
1. Prior experience at a technology or product company leading AI platform or applied ML development at scale.
2. Hands-on experience with enterprise AI frameworks (Azure OpenAI AWS Bedrock LangChain AutoGen CrewAI or similar).
3. Demonstrated success establishing AI engineering standards reusable frameworks or AI Centers of Excellence.
4. Experience delivering GenAI applications for customer engagement operations or risk functions in complex organizations.
5. Industry leadership through publications open-source contributions or conference presentations.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits though eligibility for specific benefits may be determined by the division of Truist offering the offers medical dental vision life insurance disability accidental death and dismemberment tax-preferred savings accounts and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment along with 10 sick days (also prorated) and paid holidays. For more details on Truists generous benefit plans please visit our Benefits site. Depending on the position and division this job may also be eligible for Truists defined benefit pension plan restricted stock units and/or a deferred compensation plan. As you advance through the hiring process you will also learn more about the specific benefits available for any non-temporary position for which you apply based on full-time or part-time status position and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race gender color religion citizenship or national origin age sexual orientation gender identity disability veteran status or other classification protected by law. Truist is a Drug Free Workplace.

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