MetLife
Insurance · Insurance
- HQ
- New York City, US
- Founded
- 1868
- Website
- metlife.com
Insurance · Insurance
Currently tracking 5 active AI roles, down 36% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $103k–$175k (avg $138k).
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 |
|---|---|---|
| Lead Data Scientist Lead Data Scientist role focused on creating and deploying ML/AI solutions for marketing and business engagement within a regulated enterprise environment. Responsibilities include technical leadership, model development, platform integration, and team management, with a strong emphasis on production stability and compliance. | ShipPost-train | 8 |
| Technical Manager & AI Deputy Technical Manager & AI Deputy role at MetLife Colombia, responsible for engineering excellence, technical governance, and delivery of scalable, secure, and AI-enabled solutions. Focuses on leading software development teams, ensuring alignment with business strategy, architecture, and emerging AI capabilities in a regulated environment. Key accountabilities include leading AI/automation programs, ensuring AI compliance, driving adoption of AI platforms, and fostering AI communities of practice. | Ship | 7 |