Software Data Engineer - Generative AI

At AIG we are making longterm investments in a brandnew innovative Generative AI team designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond and we need your help.

With the support and investment needed to explore new frontiers in generative AI youll be working alongside talented colleagues innovating and leading projects that will transform how we manage risk and serve our customers.

This team is central to our vision of the future and the core of our business offering. We will incorporate bestinclass engineering and product management principles and your guidance and collaboration will be critical to its success. To rapidly advance and innovate we need your skills and expertise to build and scale worldclass products. If youre excited by the opportunity to create meaningful impact wed love to hear from you.

Who we are

AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide worldclass products and expertise to businesses and individuals in approximately 190 countries and jurisdictions.

At AIG were reshaping how the world manages risk and were inviting you to be a key part of that transformation. As our Data Engineering Senior Manager GenAI you will have the opportunity to make a meaningful impact leveraging and further developing your skills to guide groundbreaking AI initiatives. If youre looking for a place to grow your career and where your contributions will shape the future AIG is where you belong.

How you will create impact:

As the Software Data Engineer Senior Developer for GenAI you will lead the design development and operationalization of cuttingedge cloudnative big data solutions that enable innovative AI models and analytics. Youll 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 AIpowered decisionmaking that will fuel business growth.

Your responsibilities include:

• Collaborating with stakeholders to identify and deliver innovative data solutions that meet the evolving needs of the business.

• Building and maintaining cloudnative big data solutions advanced analytics products and GenAI 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 ontime highquality results on fastpaced schedules while maintaining rigorous standards for development and code management.

What is needed to be successful:

• Design develop and implement data processing pipelines using Python and Spark.

• Minimum of 4 years of professional software development experience.

• Strong proficiency in Python handson experience with Apache Spark and PySpark for largescale data processing.

• Write clean efficient and welldocumented Python and TypeScript code.

• Experience with testing frameworks (pytest unittest).

• You are proficient in cloudnative platforms and tools including Hadoop HDFS Spark Kubernetes and ElasticSearch to deliver highperformance data solutions.

• Experience with containerization technologies (Docker) and orchestration tools (Kubernetes Docker Compose) to enable parallel executions of tasks.

• You have a strong background in deploying and maintaining AI/ML models with handson experience using platforms like Palantir Foundry Snowflake and AWS SageMaker.

• Build and maintain scalable and reliable APIs to expose data and functionalities to other services and applications.

• Identify and implement performance optimization 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 pipeline including containerized application code versioning capabilities such as GitHub and Jenkins.

• Experience setting up E2E Engineering pipeline monitoring and troubleshooting.

Ready to take your career to the next level We would love to hear from you.

Veterans are encouraged to apply.

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