Truist Financial
Head of AI Enablement - Enterprise Solutions
Truist Financial, Charlotte, North Carolina, United States, 28245
Head of AI Enablement – Enterprise Solutions
Truist Financial
Location: Charlotte, NC
Employment Type: Full Time
Date Posted: 11/24/2025
The Head of AI Enablement is a senior technology leader responsible for designing and deploying enterprise‑grade AI and GenAI solutions across Truist’s Enterprise Solutions Technology, Data & Operations organization. Reporting directly to the Chief TD&O Enterprise Solutions 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.
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
Proven experience designing, deploying, and maintaining AI or GenAI systems in production environments such as LLM‑based solutions, agentic architectures, or advanced ML pipelines.
10+ years leading product, platform, or applied AI engineering teams in high‑scale environments (e.g., cloud, SaaS, fintech, or large‑scale enterprise systems).
Deep understanding of modern AI infrastructure, including vector databases, model orchestration, RAG pipelines, and MLOps/DevOps integration.
Ability to engage directly with business leaders to convert strategic goals into technical blueprints and deliver working solutions.
Demonstrated knowledge of Responsible AI frameworks, model risk governance, and secure data management practices in regulated industries.
Ability to earn trust across senior leadership, from CIOs to product executives, by articulating AI’s value in business terms.
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, 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.
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 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.
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.
EEO is the Law E-Verify IER Right to Work
Contact Information: Company Name:
Truist Financial Website:
https://careers.truist.com/us/en/...
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The Head of AI Enablement is a senior technology leader responsible for designing and deploying enterprise‑grade AI and GenAI solutions across Truist’s Enterprise Solutions Technology, Data & Operations organization. Reporting directly to the Chief TD&O Enterprise Solutions 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.
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
Proven experience designing, deploying, and maintaining AI or GenAI systems in production environments such as LLM‑based solutions, agentic architectures, or advanced ML pipelines.
10+ years leading product, platform, or applied AI engineering teams in high‑scale environments (e.g., cloud, SaaS, fintech, or large‑scale enterprise systems).
Deep understanding of modern AI infrastructure, including vector databases, model orchestration, RAG pipelines, and MLOps/DevOps integration.
Ability to engage directly with business leaders to convert strategic goals into technical blueprints and deliver working solutions.
Demonstrated knowledge of Responsible AI frameworks, model risk governance, and secure data management practices in regulated industries.
Ability to earn trust across senior leadership, from CIOs to product executives, by articulating AI’s value in business terms.
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, 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.
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 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.
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.
EEO is the Law E-Verify IER Right to Work
Contact Information: Company Name:
Truist Financial Website:
https://careers.truist.com/us/en/...
#J-18808-Ljbffr