Senior Data AI Developer

Ex; Atlanta (GA); On-site; USD 60,000 - 120,000; Full time

Job summary

EXL is seeking a data engineering professional to build AI agents and multi-agent solutions, design scalable ETL/ELT pipelines, and support cloud-based data modernization programs in a US-based role centered in Atlanta.

The position collaborates with business, architecture, and engineering teams to ensure data quality, governance, and effective LLM integrations across the organization's data platforms.

Responsibilities

• Build AI agents and multi-agent solutions
• Develop agentic workflows and LLM integrations
• Implement data quality, classification, lineage, and governance solutions
• Design scalable ETL/ELT pipelines and modern data platforms
• Support cloud-based data modernization programs
• Collaborate with business, architecture, and engineering teams

Job description

Base Compensation Range: 60,000 - 120,000

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Key Responsibilities

• Build AI agents and multi-agent solutions
• Develop agentic workflows and LLM integrations
• Implement data quality, classification, lineage, and governance solutions
• Design scalable ETL/ELT pipelines and modern data platforms
• Support cloud-based data modernization programs
• Collaborate with business, architecture, and engineering teams