Senior / Principal Data Scientist, GenAI

About the role

Be part of something groundbreaking at AIG, where we are making long-term investments in a brand-new, innovative Generative AI team. This team is central to our vision of the future and the core of our business offering.

Responsibilities

• Lead the development and successful delivery of data science and generative AI solutions in accordance with business requirements.
• Monitor solutions in production to ensure performance, reliability, and accuracy.
• Partner with cross-functional teams including product managers, engineers, and business leaders to translate requirements into technical reality.
• Evaluate and quality: Build robust evaluation frameworks to measure LLM efficacy, manage ground truth dataset quality, and guide the product development roadmap.
• Design scalable ML pipelines and RAG frameworks that integrate seamlessly with enterprise data structures.

Requirements

• 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).

Qualifications

• Master’s degree in data science, Computer Science, or a related quantitative field.

Skills

• 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.

Benefits

• Enjoy Benefits That Take Care Of What Matters at AIG, our Total Rewards Program offers comprehensive benefits focused on your health, wellbeing and financial security—as well as your professional development.

Pay

Competitive compensation and benefits package.

Schedule

Primarily in the office.