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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

Designs and builds AI models and data architectures to improve business processes and system performance, collaborating with cross-functional teams to integrate AI solutions and drive continuous improvement. Provides technical guidance, ensures adherence to governance standards, monitors project progress, and leverages AI and analytics to deliver actionable insights and automate data tasks aligned with organizational goals. 

***For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)***

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Builds and designs AI models and data architectures to enhance business processes and system performance.
2. Develops technical solutions and collaborates with cross-functional teams to integrate AI solutions into business applications.
3. Conducts experiments and evaluates AI initiative performance to support continuous improvement.
4. Supports technical innovation efforts and advancement of AI capabilities.
5. Provides technical guidance to AI and data teams.
6. Adheres to AI and data governance standards aligned with organizational goals.
7. Analyzes operational processes to resolve potential problems and recommends adjustments.
8. Monitors technical project progress and identifies manageable risks to ensure alignment with business objectives.
9. Drives efforts related to the automation of repeatable data preparation and integration tasks.
10. Applies AI and analytics for actionable insights to solve complex issues.

Qualifications

Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field.
2. Minimum of 5 years of professional experience in AI and data.
3. Knowledge of AI models, data architectures, and analytics methodologies.

Preferred Qualifications:

• Strong experience with SQL and relational databases (SQL Server, Oracle, PostgreSQL, or MySQL).

• Proven ability to build and maintain data integration workflows.

• Hands-on expertise in Python for automation, data manipulation, and API integration.

• Experience with CloudQuery (the open‑source data integration platform) or similar tool to extract cloud asset data (AWS, SaaS-Security tool-WIZ) into databases for security, compliance, and analytics.

• Practical experience with AWS cloud services for data engineering workloads.

• Proficiency in designing dashboards and data visualizations using enterprise BI tools.

• Understanding data warehousing concepts, dimensional modeling, and best practices.

• Ability to troubleshoot performance issues across databases, pipelines, and BI layers.

• Strong analytical, communication, and problem-solving skills.