2026 Early Career – Gen AI – Data Engineering Analyst – United States, Atlanta (GA) 

AIG • Atlanta, GA

73d

About The Position

At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond. As the Data Engineering Senior Developer for Gen AI, you will lead the design, development, and operationalization of cutting-edge cloud-native big data solutions that enable innovative AI models and analytics. This is an exciting opportunity to shape the future of data engineering at AIG, guiding teams through complex data challenges and enabling AI-powered decision-making that will fuel business growth.

Requirements

• Recent direct experience in data engineering, programming, and delivering scalable data solutions in work or school settings.
• Proficient in cloud-native platforms and tools, including Hadoop, HDFS, Spark, Kubernetes, and ElasticSearch.
• Experience developing AI/ML models, with hands-on desire to use platforms like Palantir Foundry, Snowflake, and AWS SageMaker.
• Skilled in programming languages such as PySpark, R, Spark SQL, Java, JavaScript, and TypeScript.
• Course work related to STEM (Computer Science, Engineering, Data, Math, or Statistics).

Nice To Haves

• Passionate about exploring innovative AI and Generative AI technologies.
• Interest in working with both internal and external teams to deliver best-in-class data engineering solutions.
• Enjoy working within the financial services or insurance industry and understand the unique data challenges these sectors face.
• Experienced in implementing code versioning processes and committed to maintaining high standards for software development and project management.

Responsibilities

• Collaborating with stakeholders to identify and deliver innovative data solutions that meet the evolving needs of the business.
• Building and maintaining cloud-native big data solutions, advanced analytics products and Gen AI models.
• Partnering with data architects and senior engineers to implement best practices, ensuring sustainable and scalable technical designs.
• Working closely with analytics, application development, and data science teams to foster collaboration and drive innovation.
• Delivering on-time, high-quality results on fast-paced schedules while maintaining rigorous standards for development and code management.

Benefits

• Annual paid day off to focus on mental wellbeing.
• Access to a variety of leaves for personal, health, family and military needs.
• Up to 16 hours a year to volunteer in your community.
• Tuition reimbursement program.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees