Senior AI Developer: Data Pipelines & Enterprise AI

Synovus; Atlanta (GA); On-site; USD 140,000 - 220,000; Full time

Job summary

Synovus is seeking a seasoned AI/Data Engineer to design, develop, and optimize data structures, ETL processes, and data warehousing strategies for mission-critical projects. The role collaborates with developers, DBAs, clients, and analysts to translate business requirements into scalable technical solutions.

The candidate will stay up-to-date with AI technologies, manage data pipelines, and contribute to full-stack development and production support across enterprise programs.

Qualifications

• Bachelor's degree in computer science, information systems, or a related field.
• Ten years of related experience including data design and project management, with multiple programming languages.
• Experience with data modeling and metadata management.

Responsibilities

• Stay current with emerging AI technologies, frameworks, and best practices to improve IT operations.
• Monitor, troubleshoot, and resolve incidents relating to production AI applications.
• Data Pipeline setup for AI systems.
• Develop and maintain enterprise level software.
• Rapidly prototype and deploy full stack applications.
• Participate in systems analysis, design, development, and maintenance activities across enterprise projects.
• Lead project scope development and coordinate client and team communications.
• Conduct unit tests and ensure applications meet business needs.
• Provide ongoing production support and design recommendations for complex systems.
• Follow SDLC guidelines and promote reusable components.

Skills

RAG techniques

Model Context Protocol

AI tool integration

Vector databases

Agentic AI systems

AML/BSA regulations

KYC/CDD/SAR

Regulatory awareness

Education

Bachelor's degree in computer science or related field

Job description

Synovus is seeking a seasoned AI/Data Engineer to design, develop, and optimize data structures, ETL processes, and data warehousing strategies for mission-critical projects. The role collaborates with developers, DBAs, clients, and analysts to translate business requirements into scalable technical solutions.

The candidate will stay up-to-date with AI technologies, manage data pipelines, and contribute to full-stack development and production support across enterprise programs.