Senior / Principal Data Scientist, GenAI
AIG is hiring a Senior / Principal Data Scientist, GenAI in Atlanta, United States. Level rates it ; you can apply on AIG.
Level's read on this job
- Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
- The posting mentions Llama, PyTorch and scikit-learn among its tools and skills.
- Level classes it as a lead role.
- AIG has 408 other open roles on Level.
AI in this role
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
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.
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.
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.
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 - DataAIG PC Global Services, Inc.How we rate this
Senior / Principal Data Scientist, GenAI at AIG rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, Fine-tuning, and NLP. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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