2027 Early Careers: Analyst, Gen AI Data Engineering – United States, Atlanta, GA

AIG is reimagining the way we help customers manage risk. Join us as an Analyst in the Gen AI Data Engineering department to play your part in that transformation with opportunities to learn and grow your skills and experience as a valued member of the team.

At AIG, helping organizations and people discover new potential is our purpose. As a global risk leader, we do this for our clients every day. Through our deep expertise in their industries and our innovative solutions that help them smartly manage risk, we enable their growth in ways they never thought possible. But we also do the same thing for our colleagues, because we know our people are our greatest strength – the source of every insight, every idea and every innovation. When we're working as one team to do what's right for our colleagues and our communities, we can achieve excellence together. We encourage colleagues to give back to the causes they care most about, supporting these efforts through our Volunteer Time Off and Matching Grants Programs. Make your mark in Gen AI Data Engineering As a Data Engineering Analyst 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. You’ll collaborate across teams to deliver data solutions that drive business insights and value, all while ensuring scalability and sustainability. 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.   How you will make an impact When you join AIG, you will be part of a connected cohort community of early career talent participating in a program that equips you with learning experiences and skills needed to launch your career. From day one, you will develop your knowledge and understanding of AIG and the insurance industry and learn new skills through meaningful on-the-job experiences and instructor-led masterclasses. Through exposure to senior leaders, mentoring circles, networking and volunteering, you will build connections with colleagues across the organization. Collectively, these different experiences are designed to enable you to make an impact and build a rewarding and successful career.

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.

Our Early Careers programs are designed for students and recent graduates who are beginning their professional careers, generally within one year of completing their degree.

Requirements Bachelor’s degree, or candidate for Bachelor’s degree in Computer Science, Engineering, Data, Math, or Statistics to be received no later than June 2027 Program Requirements Available to start the Program on July 26, 2027. Analyst positions are in-person opportunities, requiring employees to work in the office at least four days per week. Core Qualifications You have recent direct experience in data engineering, programming, and delivering scalable data solutions in work or school settings.   You are proficient in cloud-native platforms and tools, including Hadoop, HDFS, Spark, Kubernetes, and ElasticSearch, to deliver high-performance data solutions.   You have experience developing AI/ML models, with hands-on desire to use platforms like