Gen AI Data Engineer Analyst

AIG; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Total Rewards Program

In-person collaboration

Job summary

AIG is seeking an Engineering Analyst in Gen AI to design, build, and operationalize cloud-native big data solutions that enable AI models and analytics. The role spans across teams to deliver scalable data solutions and AI-powered decisioning that drive business value.

You will participate in a structured early-career program, learn from senior leaders, and contribute to projects that require collaboration, strong coding practices, and a passion for innovative AI technologies.

Qualifications

• Recent direct experience in data engineering and scalable data solutions.
• Proficiency with cloud-native platforms and big data tools.
• Experience developing AI/ML models using enterprise platforms.
• Programming in PySpark, Java, or JavaScript/TypeScript with clean code.
• Strong communication and problem-solving skills.

Responsibilities

• Collaborating with stakeholders to deliver innovative data solutions.
• Building and maintaining cloud-native big data solutions and Gen AI models.
• Partnering with data architects to ensure scalable designs.
• Working with analytics, applications, and data science teams to drive innovation.
• Delivering on-time, high-quality results on fast-paced schedules.

Skills

Data engineering experience

Programming experience

Delivering scalable data solutions

Cloud-native platforms

AI/ML model development

PySpark/Java/TypeScript

Education

Bachelor's degree in CS/Engineering/Data/Math/Statistics

Tools

Hadoop

HDFS

Spark

Kubernetes

ElasticSearch

Palantir Foundry

Snowflake

AWS SageMaker

Job description

AIG is seeking an Engineering Analyst in Gen AI to design, build, and operationalize cloud-native big data solutions that enable AI models and analytics. The role spans across teams to deliver scalable data solutions and AI-powered decisioning that drive business value.

You will participate in a structured early-career program, learn from senior leaders, and contribute to projects that require collaboration, strong coding practices, and a passion for innovative AI technologies.