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# Manager Data Science, GenAI

- **Company:** American International Group, Inc.
- **Location:** Sandy Springs, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Distributed Computing Environment, Performance Tuning, Systems Integration, Digital Twin, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Agentic-AI, Pyspark, Information Technology, Data Management
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/manager-data-science-genai-atlanta-ga--2d60c1f6-0400-42ef-9d70-cb0ac087b5c3

## About the Role

Data Science, Artificial Intelligence (AI), Insurance, Risk Management, Product Management, Property and Casualty Insurance, Financial Services, Data Science, Data Management, Production Systems, * 7+ years of experience in a data science role-preferably in NLP-in an agile, production-oriented environment.

 * 3+ years of experience managing teams of data scientists and/or engineers.
 * 2+ years of hands-on experience building generative AI solutions: prompt engineering, RAG and agentic frameworks, validation pipelines, and observability and monitoring solutions.
 * Experience on the Palantir platform or demonstrated certification is preferred.
 * Ph.D. or Master's in Data Science, Computer Science, or a related field.

Added Bonus / Preferred Qualifications

 * Ontology Mastery: A strong understanding of Ontology-specifically how to map complex real-world data entities and relationships into a digital twin framework to power AI applications.
 * Large-scale Data Infrastructure: Strong understanding of performance optimization in big data environments, with hands-on experience using distributed data processing frameworks such as Apache Spark or PySpark.
 * Agentic Solution: Experience implementing advanced agentic architectures, such as autonomous agents capable of multi-step reasoning and decision-making or integrating agentic solutions with large-scale enterprise systems., * Ability to thrive in a fast-paced, high-stakes environment.
 * Clear communicator and effective collaborator within and across teams.
 * Able to operate as both a hands-on practitioner and a people manager.
 * Highly technical, with a strong bias for execution.

Ready to set new industry standards? We would love to hear from you.

## Description

* Oversee the development and delivery of data science and generative AI solutions aligned with business requirements, monitor solutions in production.
 * Develop technical delivery plans and execute them to ship solutions on time.
 * Mentor and develop junior data scientists.
 * Collaborate with cross-functional teams including product managers, engineers, and business leaders.
 * Build evaluation frameworks to measure LLM effectiveness, ground-truth dataset quality, and guide the product development roadmap.