> Markdown version of [/jobs/ext/3654035-data-scientist-genai](https://www.wearedevelopers.com/jobs/ext/3654035-data-scientist-genai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, GenAI - **Company:** American International Group, Inc. - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Quality, Python (Programming Language), Open Source Technology, Digital Twin, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Pandas, Scikit Learn, Information Technology, Machine Learning Operations - **Published:** October 9, 2026 - **Apply:** https://aig.wd1.myworkdayjobs.com/aig/job/GA-Atlanta/Data-Scientist--GenAI_JR2601035 ## About the Role * 5+ years of experience in a data science role, with a strong emphasis on NLP and ML, working in an agile production-oriented environment. * Proven Delivery: Experience successfully delivering multiple GenAI, analytical, or ML projects from conception through to production. * Python Expertise: Strong, expert-level proficiency in Python and its data science ecosystem (e.g., PyTorch, Pandas, Scikit-learn). * LLM Mastery: 5+ years of practical experience with open-source Large Language Models (Llama 3, Mixtral, etc.), including prompt engineering, inference optimization, and fine-tuning. * GenAI Solutions: 3+ years of experience building Generative AI Solutions, including designing and building RAG frameworks, validation pipelines, observability, and monitoring solutions. * Education: Master's degree in data science, Computer Science, or a related quantitative field. Added Bonus / Preferred Qualifications * Palantir Platform Experience: Hands-on experience or certification in the Palantir platform (Foundry/AIP). * 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., * Ability to thrive in a fast-paced, high-stakes environment. * Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. * A "hands-on" mindset with the desire to be a primary technical lead through code quality and architectural excellence. Ready to set new industry standards? We would love to hear from you. ## Description * End-to-End Development: Lead the development and successful delivery of data science and generative AI solutions in accordance with business requirements. * Production Oversight: Monitor solutions in production to ensure performance, reliability, and accuracy. * Technical Collaboration: Partner with cross-functional teams including product managers, engineers, and business leaders to translate requirements into technical reality. * Evaluation & Quality: Build robust evaluation frameworks to measure LLM efficacy, manage ground truth dataset quality, and guide the product development roadmap. * Architecture: Design scalable ML pipelines and RAG frameworks that integrate seamlessly with enterprise data structures.