Senior / Principal Data Scientist, GenAI

About the Role Senior / Principal Data Scientist, GenAI is a highly technical individual contributor role at AIG focused on building and scaling enterprise-grade Generative AI solutions. The role emphasizes Large Language Models (LLMs) and Machine Learning (ML) within an agile, production-oriented environment. You will drive end-to-end delivery and collaborate with product, engineering, and business teams to translate requirements into scalable, impactful AI capabilities. What You'll Do

• 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. What We're Looking For
• 8+ years of Engineering Experience in a development environment.
• 6+ years of experience in a data science role, with a strong emphasis on NLP and ML, working in an agile production-oriented environment.
• 3+ years of practical experience with open-source Large Language Models (Llama 3, Mixtral, etc.), including prompt engineering, inference optimization, and fine-tuning.
• 3+ years of experience building Generative AI Solutions, including designing and building RAG frameworks, validation pipelines, observability, and monitoring solutions.
• 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).
• Education: Master’s degree in data science, Computer Science, or a related quantitative field. Nice to Have
• 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.
• 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. Compensation & Benefits
• Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to focus on health, wellbeing, financial security, and professional development.
• In-person collaboration and a supportive, connected environment for our team and clients alike.