MetLife
Insurance · Insurance
- HQ
- New York City, US
- Founded
- 1868
- Website
- metlife.com
Currently tracking 5 active AI roles, down 36% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $103k–$175k (avg $138k).
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.
MetLife currently has 9 active AI-related roles in our index. The most common open titles are: Data & AI Governance Lead, Enterprise AI Platform Operations Engineer, Lead Data Scientist, Lead Enterprise Architect – AI Solutions, MLOps Engineer. Most positions are in Engineering and Product.
MetLife's active AI hiring is concentrated in: agents (44%), application (22%), serving infrastructure (22%). 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 mention: Prompt Engineering, Machine Learning, Cloud Native, Azure, Agile / Scrum.
In the past 30 days, MetLife has posted 2 new AI-related roles. That is a -71% change versus the prior 30 days (7 → 2).
| Title | Stage | AI score |
|---|---|---|
| MLOps Engineer MLOps Engineer responsible for operationalizing AI/ML models, including LLM-based solutions, within the Azure ecosystem. This role involves designing, implementing, and maintaining end-to-end ML pipelines, managing infrastructure for model execution, and ensuring reproducibility, traceability, and observability. The engineer will also manage the operational lifecycle of generative models, including fine-tuning, evaluation, and RAG pipelines, while ensuring compliance with policies and standards. | ServePost-train | 7 |