Job description

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. How you will create impact As a Data Scientist at AIG, you will serve a critical role in the architecture, development, and delivery of impactful enterprise-level Generative AI solutions. We are seeking a highly technical individual contributor with extensive hands-on experience, as we are an applied data science team operating in an agile and production-oriented environment. You will be focused on Large Language Models (LLMs) and Machine Learning (ML), acting as a primary technical driver for our most complex projects. Your Responsibilities 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 is Needed to be Successful 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. Required Competencies 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. Veterans are encouraged to apply. #LI-RG2 #LI-AIG #AI #GenAI #artificialintelligence #DataScience #BigData At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. 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 candidatecare aig.com . Functional Area: DT - Data AIG PC Global Services, Inc.

Requirements

Must-haves

Be part of something groundbreaking
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 is Needed to be Successful
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.
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.
Required Competencies
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.
Veterans are encouraged to apply.
#LI-RG2 #LI-AIG #AI #GenAI #artificialintelligence #DataScience #BigData
Enjoy benefits that take care of what matters

Nice-to-haves

Added Bonus / Preferred Qualifications

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilemachine learningmlllmpythongo

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

Professional Development