MetLife
Insurance · Insurance
- HQ
- New York City, US
- Founded
- 1868
- Website
- metlife.com
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.
Insurance · Insurance
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 |
|---|---|---|
| VP, AI Innovation VP, AI Innovation to serve as enterprise AI strategist and technical visionary, shaping how MetLife harnesses AI for customer service, claims processing, underwriting, and operational excellence. Role involves scanning AI frontiers, translating intelligence into strategy, advising leadership, and guiding applied AI across various domains. Requires deep technical expertise, leadership in applied AI, and establishing best practices for responsible AI deployment in a regulated industry. | ShipAgent | 9 |
| Principal Architect (AI, Cloud & Azure) Principal Architect role focused on defining and governing enterprise architectures for AI, Generative AI, and Agentic AI platforms, including model lifecycle management, orchestration, tooling, and integration. The role involves architecting LLM-based solutions using RAG, fine-tuning, prompt engineering, and agent patterns, and establishing standards for ML/GenAI tooling and MLOps/LLMOps pipelines. It also requires ensuring responsible AI principles and compliance, with a strong emphasis on Azure cloud architecture and infrastructure reliability. | AgentServe | 8 |
| 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 |
| Senior AI Scientist Senior AI Scientist at MetLife in Mexico City, focused on leading the development of advanced analytics, Machine Learning, and AI solutions to transform business problems into analytical capabilities. The role involves building end-to-end AI/ML solutions, developing statistical and ML models using Python and Azure, and translating business needs into technical solutions. Requires strong Python, SQL, and ML modeling skills, with knowledge of LLMs, Prompt Engineering, and Agile environments. | Agent | 7 |
| 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 |
| 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 |
| Lead Enterprise Architect – AI Solutions Lead Enterprise Architect for AI Solutions at MetLife, focusing on driving enterprise and solution architecture for AI/ML and Generative AI initiatives within the Retirement Income Solutions business. This role involves defining architectural roadmaps, guiding the adoption of modern cloud-native architectures, and establishing architecture standards. The architect will also mentor other architects and engineers, and has experience with AI/ML solutions, model integration, prompt engineering, AI governance, and agentic frameworks for enterprise automation. | AgentData | 7 |
| 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 |
| 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 |
| 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 |
| Data Scientist - Pet Insurance Data Scientist focused on designing, building, validating, and deploying production-grade rule-based and machine learning solutions to automate and augment claims adjudication. This role involves end-to-end ownership of AI capabilities, including feature engineering, training, deployment, monitoring, and developing LLM-enabled features for document understanding and workflow automation. Requires strong Python, SQL, Generative AI/LLM experience, and cloud MLOps skills. | AgentData | 7 |
| Sr Principal Enterprise Data Architect, AI Sr Principal Enterprise Data Architect responsible for shaping, governing, and advancing the enterprise data architecture strategy, with a strong focus on enabling analytics, AI, and emerging intelligent capabilities. This role guides the architectural design and validation of AI enabled solutions, including analytics accelerators, intelligent assistants, and data driven platforms, and supports the transition of successful pilots into production. | Agent | 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 |
| LatAm AI & Business Transformation AVP The LatAm AI & Business Transformation AVP will lead a business-led, AI-enabled regional strategy that translates enterprise priorities into execution and measurable business and P&L impact across LatAm. This role orchestrates cross-functional AI transformation, establishes governance, and acts as a senior advisor on AI transformation and adoption. | — | 5 |
| Data & AI Governance Lead Lead the implementation of Data Governance and Responsible AI frameworks across Latin America, ensuring alignment with global standards, ethical principles, and regulatory requirements. Oversee AI model lifecycles, evaluate risks, and develop monitoring frameworks for responsible AI usage. | Eval Gate | 5 |
| Enterprise AI Adoption & Enablement Engineer This role focuses on driving the adoption and measuring the impact of enterprise AI productivity tools within MetLife. The engineer will lead adoption reporting and analytics, manage AI platform licenses, collaborate on training content, oversee the enterprise AI community, and build a knowledge base. The goal is to foster a cultural shift towards AI-powered work across the organization. | — | 5 |
| Enterprise AI Platform Operations Engineer The Enterprise AI Platform Operations Engineer will ensure the reliable operation, governance, and continuous evolution of MetLife’s enterprise AI productivity platform, supporting Copilot and other AI Personal Productivity tool users. This role involves day-to-day operations, feature triage, automation scripting, license governance, and creating technical documentation for a large-scale enterprise AI deployment. | Agent | 5 |
| Lead Auditor - Data & AI This role is for a Lead Auditor focused on Data & AI within MetLife's Global Internal Audit organization. The primary responsibility is to deliver independent assurance over data and AI initiatives, ensuring responsible, ethical, and effective use of these capabilities. The role involves supporting risk assessments, leading audits, identifying issues, recommending improvements, and staying updated on data and AI trends, technologies, and regulations. The goal is to modernize audit techniques and influence governance in the context of emerging technology. | — | 5 |
| IT & AI Solutions Intern This internship focuses on supporting the delivery of AI-enabled solutions at MetLife UK, including agentic AI and workflow automation, and the underlying enterprise IT infrastructure. The role involves hands-on experience with production solutions, working alongside experienced IT, data, and business colleagues, and learning about responsible AI application in a regulated insurance environment. | Agent | 5 |
| VP, Capability Development & AI Fluency This role focuses on developing workforce capabilities and AI fluency within MetLife, a financial services company. The VP will lead the strategy for how employees and leaders can effectively use AI tools and adapt to AI's impact on work, ensuring readiness and adoption across the enterprise. The role emphasizes continuous learning and practice-based development aligned with evolving business needs and AI integration. | — | 5 |
| Change Activation & AI Education Manager This role focuses on driving change management and AI education across the enterprise to ensure the adoption and sustained application of AI tools and capabilities. It bridges AI education with human skills and leadership development to translate learning into behavior change and performance impact. | — | 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 |
| Senior Data Scientist I Senior Data Scientist I role focused on designing, building, and maintaining ETL/ELT pipelines on cloud (Azure) or on-prem for data collection, ingestion, and storage. The role involves monitoring, optimizing, and troubleshooting data pipelines, ensuring data quality, security, and compliance. It requires collaboration with various partners, mentoring Data Engineers, and leading design and solutioning. Technical skills include SQL, Python/Scala, NoSQL, distributed databases, Big Data frameworks (Spark, Hadoop, Hive), and cloud platforms (Azure). | — | 0 |
| Principal Release Train Engineer - AI This role is for a Principal Release Train Engineer at MetLife, focused on leading delivery coordination and portfolio operations for a new AI product operating model. The role involves tracking dependencies, managing risks, leading a team of Scrum Leads and Portfolio Operations Specialists, and partnering with Product Management to align delivery with roadmap priorities. It requires extensive experience in Agile program management and coordinating complex, multi-platform environments. | — | 0 |
| Director, Product Management — Composite AI | — | — |