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

Location: GA-Atlanta

AIG is reimagining the way we help customers manage risk. Join us as an Analyst in the Gen AI 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.

About Us

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 Engineering

An 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.

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.

Minimum Qualifications

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.

Education 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 Palantir Foundry, Snowflake, and AWS SageMaker.

You are skilled in programming languages such as PySpark, R, Spark SQL, Java, JavaScript, and TypeScript, with a focus on delivering efficient, well-documented code.

Strong written and verbal communication skills, with the ability to communicate effectively in a professional environment.

Demonstrated analytical, problem-solving, and organizational skills, with strong attention to detail.

Ability to collaborate effectively, manage multiple priorities, and adapt in a fast-paced, team-oriented environment.

What you’ll need to succeed

AIG seeks candidates who have excelled in previous work experience, demonstrated outstanding academic and extracurricular achievement, possess strong analytical, quantitative and interpersonal skills, and are enthusiastic about the insurance industry.  It is a plus if:

You are passionate about exploring innovative AI and Generative AI technologies, using them to drive impactful solutions within large-scale enterprise environments.

You have an interest in working with both internal and external teams to deliver best-in-class data engineering solutions, sharing knowledge and best practices across the organization.

You are experienced in implementing code versioning processes and are committed to maintaining high standards for software development and project management.

We also look for a diverse background of experience, culture and thought. Successful candidates typically have a global perspective and a team-oriented track record.

Applications will be accepted through October 31, 2026, at 11:59 p.m. ET. Applications are reviewed on a rolling basis, and we encourage candidates to apply early. We reserve the right to close this posting prior to the application deadline based on application volume.

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supporti