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

AIG • Atlanta, GA

12d • Onsite

About The Position

AIG is seeking an Analyst in the Gen AI Data Engineering department to play a part in transforming how customers manage risk, with opportunities to learn and grow skills and experience as a valued member of the team. This role involves leading the design, development, and operationalization of cutting-edge cloud-native big data solutions that enable innovative AI models and analytics. The Analyst will collaborate across teams to deliver data solutions that drive business insights and value, ensuring scalability and sustainability. This is an opportunity to shape the future of data engineering at AIG, guiding teams through complex data challenges and enabling AI-powered decision-making to fuel business growth. Early career talent will participate in a program equipping them with learning experiences and skills needed to launch their careers, including developing knowledge of AIG and the insurance industry, learning new skills through on-the-job experiences and instructor-led masterclasses, and building connections through exposure to senior leaders, mentoring circles, networking, and volunteering.

Requirements

• Recent direct experience in data engineering, programming, and delivering scalable data solutions in work or school settings.
• Proficiency in cloud-native platforms and tools, including Hadoop, HDFS, Spark, Kubernetes, and ElasticSearch, to deliver high-performance data solutions.
• 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, 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.
• 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.
• 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.

Nice To Haves

• Passionate about exploring innovative AI and Generative AI technologies, using them to drive impactful solutions within large-scale enterprise environments.
• 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.
• Experienced in implementing code versioning processes and committed to maintaining high standards for software development and project management.
• A diverse background of experience, culture and thought.
• Global perspective and a team-oriented track record.

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

• Volunteer Time Off and Matching Grants Programs
• Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level