Head of AI Enablement - Enterprise Solutions Job Raleigh area,North Carolina USA,IT/Tech

ESSENTIAL DUTIES AND 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.

QUALIFICATIONS

Required Qualifications

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.

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.

Preferred Qualifications

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, Lang Chain, Auto Gen, 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.

Benefits

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 position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax‑preferred savings accounts, and a 401(k) 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.

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