Ph.D. Research Data Scientist, GenAI

Ph.D. Research Data Scientist, GenAI page is loaded## Ph.D. Research Data Scientist, GenAIlocations:
GA-Atlanta time type:
Full time posted on:
Posted Yesterday job requisition :
JR2600925
** 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.
** Who we are
** AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions.  At AIG, we’re reshaping how the world manages risk, and we’re inviting you to be a key part of that transformation. 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.
** Your responsibilities include:
*** 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
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