Head of AI Enablement - Consumer and Small Business Banking

Head of AI Enablement - Consumer and Small Business Banking

Join to apply for the Head of AI Enablement - Consumer and Small Business Banking role at Truist

4 days ago Be among the first 25 applicants

Join to apply for the Head of AI Enablement - Consumer and Small Business Banking role at Truist

Need Help? If you have a disability and need assistance with the application, send an email to Accessibility (accommodation requests only; other inquiries will not receive a response).

Regular 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 Consumer and Small Business Banking Technology, Data and Operations (TD&O). Reporting directly to the Chief Divisional TD&O CSBB 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.>

• Translate complex 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 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.

• 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/Dev Ops integration.
• Applied Business Translation:
  Ability to engage directly with business leaders to convert strategic goals into technical blueprints and deliver working solutions.
• E…