Truist
Head of AI Enablement - Enterprise Solutions
Open 2 days ago. Be among the first 25 applicants. 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 (TD&O) 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. Job Details Regular position Language Fluency: English (Required) Work Shift: 1st shift (United States of America) 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. 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/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. 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. Benefits
All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, including medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax‑preferred savings accounts, and a 401(k) plan. Teammates receive no less than 10 days of vacation in the first year of employment, along with 10 sick days and paid holidays. Additional benefits may include a defined‑benefit pension plan, restricted stock units, and/or a deferred compensation plan, depending on the division and position. EEO Statement 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.
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Open 2 days ago. Be among the first 25 applicants. 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 (TD&O) 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. Job Details Regular position Language Fluency: English (Required) Work Shift: 1st shift (United States of America) 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. 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/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. 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. Benefits
All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, including medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax‑preferred savings accounts, and a 401(k) plan. Teammates receive no less than 10 days of vacation in the first year of employment, along with 10 sick days and paid holidays. Additional benefits may include a defined‑benefit pension plan, restricted stock units, and/or a deferred compensation plan, depending on the division and position. EEO Statement 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.
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