AI & Data Architect for Metadata Catalog

Truist; Atlanta (GA); On-site; USD 140,000 - 180,000; Full time

Job summary

Truist invites applications for a senior AI/data role in Atlanta, GA. The position focuses on designing and deploying AI models and data architectures that enhance business processes and system performance.

You will work with cross-functional teams to integrate AI capabilities into core applications and ensure governance and risk compliance. The role emphasizes evaluating AI initiatives, delivering actionable insights, and guiding data-driven improvements across enterprise functions.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field; equivalent education or experience.
• Minimum of 5 years of professional experience in AI and data.
• Knowledge of AI models, data architectures, and analytics methodologies.
• Advanced degree in a relevant technical or business discipline preferred.

Responsibilities

• Designs and builds AI models, data architectures, and data solutions to improve business processes and system performance.
• Develops technical solutions and collaborates with cross-functional teams to integrate AI and data capabilities into business applications.
• Conducts experiments and evaluates performance, business value, and impact of AI initiatives for continuous improvement.
• Provides technical guidance to AI and data teams and translates business needs into actionable requirements.

Skills

AI models

Data architectures

Analytics methodologies

Education

Bachelor’s degree in Computer Science or related field

Advanced degree in a relevant technical or business discipline

Job description

Truist invites applications for a senior AI/data role in Atlanta, GA. The position focuses on designing and deploying AI models and data architectures that enhance business processes and system performance.

You will work with cross-functional teams to integrate AI capabilities into core applications and ensure governance and risk compliance. The role emphasizes evaluating AI initiatives, delivering actionable insights, and guiding data-driven improvements across enterprise functions.