Head of AI Enablement - TD&O Wholesale

Truist Bank • Charlotte, NC

5d

About The Position

The Head of AI Enablement is a senior technology leader responsible for designing and deploying enterprise-grade AI and GenAI solutions across Wholesale Technology, Data and Operations (TD&O). Reporting directly to the Chief Divisional TD&O Wholesale 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 presence—someone 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.

Requirements

• Technical Expertise: Proven experience designing, deploying, and maintaining AI or GenAI systems in production—such as LLM-based solutions, agentic architectures, or advanced ML pipelines.
• 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).
• Architectural Fluency: Deep understanding of modern AI infrastructure, including vector databases, model orchestration, RAG pipelines, and MLOps/DevOps integration.
• Applied Business Translation: Ability to engage directly with business leaders to convert strategic goals into technical blueprints and deliver working solutions.
• Ethical and Regulatory Awareness: Demonstrated knowledge of Responsible AI frameworks, model risk governance, and secure data management practices in regulated industries.
• Communication and Influence: Ability to earn trust across senior leadership, from CIOs to product executives, by articulating AI’s value in business terms.
• Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field (advanced degrees preferred) or equivalent experience.

Nice To Haves

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

Responsibilities

• Translate complex business requirements into engineered AI and GenAI solutions that deliver measurable business outcomes.
• Architect and lead the development of LLM-based, agentic, and machine-learning systems that integrate with enterprise data and technology platforms.
• Guide engineering teams in model development, fine-tuning, and deployment, ensuring performance, security, and compliance.
• Build reusable frameworks, APIs, and components to accelerate AI adoption across product lines.
• 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.
• Serve as a trusted engineering partner to business executives, translating strategic goals into technical blueprints.
• Foster a builder culture rooted in experimentation, delivery, and responsible innovation.
• Establish and enforce AI engineering standards—including model observability, version control, and performance telemetry in partnership with Enterprise Architecture and the Policy, Standards, Practices Governance team.
• Stay ahead of emerging AI technologies, tools, and frameworks; continuously assess opportunities to integrate frontier capabilities.

Benefits

• Truist 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.
• Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Number of Employees: 5,001-10,000 employees