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 |
|---|---|---|
| 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 |
| Senior AI Engineer I Senior AI Engineer responsible for developing and managing scalable enterprise AI capabilities, designing and training ML/DL models, integrating AI into business applications, and maintaining CI/CD pipelines for ML models. The role involves working with GenAI, RAG, LLMs, and cloud platforms. | ServePost-train | 7 |
| Sr. Architect - Data & AI Platform Strategy This role defines and advances the architecture for data and platform capabilities, focusing on performance management and AI/ML integration. It involves establishing architecture standards, designing data models, and ensuring seamless integration across systems to drive insights and optimize platform performance within an enterprise AI context. | Serve | 5 |
| Senior Platform Engineer (Data & AI) This role focuses on modernizing enterprise platforms through DevOps, data, and AI-enabled solutions. The Senior Platform Engineer will drive technology lifecycle modernization, create automated CI/CD pipelines, infrastructure-as-code, and integrate AI-enabled capabilities. They will also develop standards and provide technical guidance to engineering teams, ensuring platforms remain current, secure, and scalable within a regulated financial services environment. | Serve | 5 |
| Technical Product Manager - MetIQ / AI Technical Product Manager for MetLife's Composite AI Platform (MetIQ), responsible for defining and driving the platform's vision, strategy, and evolution. The role focuses on balancing business outcomes with scalable, secure, and responsible AI capabilities, partnering with various teams to translate enterprise priorities into a cohesive platform strategy and roadmap. Key responsibilities include product strategy, technical product leadership, roadmap management, use case intake, governance, Responsible AI enablement, cross-functional alignment, and adoption metrics. | Serve | 5 |