Level

AIG

Manager Data Science, GenAI

AI in this role

prompt-engineeringragai-agentsnlp

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 Manager of Data Science at AIG, you will play a critical role in building and overseeing a team of data scientists tasked with delivering impactful, enterprise-level generative AI solutions. We are an applied data science team operating in an agile, production-oriented environment, and we are seeking someone with extensive hands-on experience. Candidates with only managerial or architecture backgrounds should not apply.

Your Responsibilities

  • Oversee the development and delivery of data science and generative AI solutions aligned with business requirements, monitor solutions in production.

  • Develop technical delivery plans and execute them to ship solutions on time.

  • Mentor and develop junior data scientists.

  • Collaborate with cross-functional teams including product managers, engineers, and business leaders.

  • Build evaluation frameworks to measure LLM effectiveness, ground-truth dataset quality, and guide the product   development roadmap.

What is Needed to be Successful

  • 7+ years of experience in a data science role—preferably in NLP—in an agile, production-oriented environment. 

  • 3+ years of experience managing teams of data scientists and/or engineers.

  • 2+ years of hands-on experience building generative AI solutions: prompt engineering, RAG and agentic frameworks, validation pipelines, and observability and monitoring solutions.

  • Experience on the Palantir platform or demonstrated certification is preferred.

  • Ph.D. or Master's in Data Science, Computer Science, or a related field.

Added Bonus / Preferred Qualifications

  • 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.

  • Clear communicator and effective collaborator within and across teams.

  • Able to operate as both a hands-on practitioner and a people manager.

  • Highly technical, with a strong bias for execution.

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.

How we score this

Manager Data Science, GenAI at AIG scores 42 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 2. An ordinary role whose duties require using AI tools, such as coding, writing or sourcing with an assistant.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRagAI AgentsNlp

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. What NLP problem have you worked on, and how did you measure whether it actually worked?
  5. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, Rag, AI Agents, 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.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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