Senior Python / PySpark Engineer - GenAI

At AIG, we are making long-term investments in a brand-new, 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, you’ll 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 best-in-class 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 world-class products. If you’re excited by the opportunity to create meaningful impact, we’d 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 world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions.  

At AIG, we’re reshaping how the world manages risk, and we’re 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 you’re 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 a Senior Engineer for GenAI, 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. 

Your responsibilities include: 

• 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 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 on-time, high-quality results on fast-paced schedules while maintaining rigorous standards for development and code management. 

What is needed to be successful: 

• Minimum of 7 years of professional software development experience.

• Strong proficiency in Python (7+ years), hands-on experience with Apache Spark and PySpark for large-scale data processing.

• Strong proficiency in PySpark (3+ years)

• Write clean, efficient, and well-documented Python and TypeScript code.

• Experience with testing frameworks (pytest, unittest).

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

• You are proficient in cloud-native platforms and tools, including Hadoop, HDFS, Spark, Kubernetes, and ElasticSearch, to deliver high-performance 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 hands-on 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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