Ph.D. Research Data Scientist, GenAI

Overview Be part of something groundbreaking. 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. AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. As our Data Scientist 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 This role is critical to innovation team in AICOE. Through this initiative, we are building a strategic capability to implement advanced AI techniques, including RAG, Knowledge Graph, Agentic design, POC and Model Context Protocol (MCP) with evaluators to ensure reliability and performance. This role is critical to contribute to the invention in AIG GenAI’s projects and AIG’s Intelligent property, which keeps AIG leading the insurance industry in Gen AI area. GenAI research and application: Stay up to date with the latest advancements in GenAI and apply this knowledge to develop innovative solutions that drive member and business value. This includes designing and implementing novel architectures, algorithms, and techniques for LLMs, multi‑modal models, and other GenAI applications. Be accountable for high‑quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption. Agentic system development and optimization: Design and build enterprise‑level Agentic solution, including data processing and curation, to mitigate biases and ensure high‑quality datasets for optimized model performance. Influence efficient Agentic architecture design for optimal performance, efficiency, and scalability. Research strategy and direction: Define and drive the long‑term research vision and strategy for GenAI in the organization, aligning with business objectives and goals. This includes identifying key research areas, setting ambitious goals, and developing achievable milestones. Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code‑reusability. Collaboration and communication: Effectively collaborate with and communicate complex research concepts to cross‑functional teams, including engineering, product, and business stakeholders. This includes distilling research findings into actionable insights, providing technical guidance, and influencing the adoption of GenAI solutions. GenAI thought leader: Advance expertise in GenAI through continuous learning, attending conferences, and engaging with the broader research community. Contribute to the team’s knowledge base and advance the field through publications, presentations, and sharing of insights and expertise. What is needed to be successful Ph.D. with 2+ years’ industry experience. Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision‑making, and improve customer and employee experiences. Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, operation, claims automation, customer servicing and risk assessment. Experience implementing Agentic AI frameworks, such as CrewAI, Claude Agent SDK and LangChain, to build autonomous systems in production settings. Strong ML, deep learning and GenAI hands‑on and scientific research skills. Have produced novel research related to agentic design and implementation. Experience in designing and implementing Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools. Specialized expertise in other topics like fine‑tuning, RLHF, RAG and Knowledge graph, etc. Knowledge of Palantir platforms will be a plus. Ph.D. publication with GenAI and/or Agentic is a plus. Are passionate about getting your work into the hands of real users and democratizing access to modern AI technology. Are motivated by working on Gen AI research that, contrary to the general trend in the field, will be disclosed to the public. Strong communication skills and a desire to work on a small, fast‑paced team. Veterans are encouraged to apply. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to View email address on click.appcast.io. #J-18808-Ljbffr Dormont Manufacturing Co