Analyst, Gen AI Engineering (AI)

Location: Atlanta, Georgia, United States. In-person role requiring employees to work in the office at least four days per week.

Company

hirify.global provides commercial and personal insurance solutions and operates as a global property and casualty insurance organization.

What you will do

• Identify and deliver innovative data solutions with business stakeholders.
• Build and maintain cloud-native big data solutions, advanced analytics products, and Generative AI models.
• Partner with data architects and senior engineers on scalable and sustainable technical designs.
• Collaborate with analytics, application development, and data science teams.
• Deliver high-quality, well-managed code on fast-paced schedules.

Requirements

• Bachelor’s degree or expected Bachelor’s degree by June 2027 in Computer Science, Engineering, Data, Math, or Statistics.
• Availability to start on July 26, 2027.
• Recent experience with data engineering, programming, and scalable data solutions in work or academic settings.
• Proficiency with Hadoop, HDFS, Spark, Kubernetes, and ElasticSearch.
• Experience developing AI/ML models and working with or learning platforms such as Palantir Foundry, Snowflake, and AWS SageMaker.
• Programming experience with PySpark, R, Spark SQL, Java, JavaScript, and TypeScript, plus strong communication, analytical, and collaboration skills.

Nice to have

• Passion for innovative AI and Generative AI technologies in large-scale enterprise environments.
• Experience with code versioning, software development standards, and project management.
• Interest in sharing data engineering knowledge and best practices across internal and external teams.

Culture & Benefits

• Early-career cohort program with on-the-job learning, instructor-led masterclasses, mentoring, networking, and volunteering.
• Total Rewards benefits supporting health, wellbeing, financial security, and professional development.
• Volunteer Time Off and Matching Grants Programs.
• Inclusive culture supported by learning initiatives and Employee Resource Groups.

Hiring process

• Applications are accepted through October 31, 2026, at 11:59 p.m. ET.
• Applications are reviewed on a rolling basis, and the posting may close early based on application volume.