Senior Full Stack Software Engineer - GenAI

About the role

Join our groundbreaking Generative AI team at AIG, dedicated to exploring new possibilities for AI in insurance and beyond. As a Senior Data Engineer for GenAII, you will leverage your skills to guide AI initiatives and shape the future of data engineering at AIG.

Responsibilities

• Collaborate with stakeholders to identify and deliver innovative data solutions that meet evolving business needs.
• Mentor and grow junior engineering talent.
• Design, build, and maintain GenAI data pipelines across the business.
• Partner with data architects and senior engineers to implement best practices, ensuring sustainable and scalable technical designs.
• Work closely with analytics, application development, and data science teams to foster collaboration and drive innovation.
• Lead the onboarding of new business lines to GenAI workflows.
• Deliver on-time, high-quality results on fast-paced schedules while maintaining rigorous standards for development and code management.

Requirements

• Minimum of 7 years of professional software development experience.
• Strong proficiency in at least one high-level programming language (Python, TypeScript, Java, JavaScript/React, etc.), with a strong background in TypeScript a plus.
• Write clean, efficient, and well-documented code.
• Curious and motivated to learn new things.
• Experience with writing data processing pipelines in Palantir Foundry.
• Experience with testing frameworks (pytest, unittest).
• An understanding of containerization and compute optimization.
• Experience building and maintaining scalable and reliable APIs to expose data and functionalities to other services and applications.
• Identify and implement performance optimizations for existing code and data processing workflows, including leveraging containerization technologies for parallel execution.
• Contribute to the design and architecture of our data platform and applications.
• Participate in code reviews to ensure code quality and adherence to best practices.
• Experience with CI/CD pipelines.
• Experience setting up end-to-end engineering pipelines, monitoring, and troubleshooting.

Qualifications

• Passionate about exploring innovative AI and Generative AI technologies, using them to drive impactful solutions within large-scale enterprise environments.
• Experience working with both internal and external teams to deliver best-in-class data engineering solutions, sharing knowledge and best practices across the organization.
• Experience working in the financial services or insurance industry, understanding the unique data challenges these sectors face.

Skills

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team.
• Knowledge of data engineering best practices and standards.

Benefits

• Comprehensive benefits package focusing on health, wellbeing, financial security, and professional development.
• Opportunities for continuous learning and development.
• A supportive and inclusive culture celebrating diversity and individuality.

Pay

TBD based on experience and qualifications.

Schedule

Primarily in-office, with flexibility for remote work as needed.