MetLife
Insurance · Insurance
- HQ
- New York City, US
- Founded
- 1868
- Website
- metlife.com
Insurance · Insurance
MetLife has six active job listings related to artificial intelligence. The majority of these roles, 50%, are focused on agents. The company is frequently seeking candidates with expertise in fine-tuning, RAG, and model serving. In the last 30 days, MetLife posted three new AI roles, a 40% decrease compared to the previous 30-day period.
Currently tracking 5 active AI roles, up 33% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $103k–$175k (avg $138k).
MetLife currently has 10 active AI-related roles in our index. The most common open titles are: Data & AI Governance Lead, Data Scientist - Pet Insurance, Enterprise AI Platform Operations Engineer, Lead Data Scientist, Lead Enterprise Architect – AI Solutions. Most positions are in Engineering and Product.
MetLife's active AI hiring is concentrated in: agents (50%), application (20%), serving infrastructure (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at MetLife most frequently reference: model serving, llm observability, rag, fine tuning, agent orchestration.
In the past 30 days, MetLife has posted 7 new AI-related roles. That is a +40% change versus the prior 30 days (5 → 7).
| Title | Stage | AI score |
|---|---|---|
| Associate Data Scientist Associate Data Scientist at MetLife in Hyderabad, India, responsible for designing, building, validating, and deploying production-grade rule-based and machine learning models. The role involves exploratory data analysis, feature engineering, monitoring model performance, and ensuring compliance with AI guidelines. Requires experience with Python, ML frameworks, and NLP, with Generative AI and prompt engineering being key areas. This is an individual contributor role focused on delivering data and analytics solutions within the financial services domain. | Post-train | 7 |
| Senior Data Scientist I Senior Data Scientist role focused on designing, building, validating, and deploying production-grade rule-based and machine learning models, including Generative AI and LLMs. The role involves exploratory data analysis, feature engineering, model monitoring, and ensuring compliance with AI guidelines. It also includes mentoring junior data scientists and leading design and solutioning. | Post-trainData | 7 |