What AI roles is MetLife hiring for?

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.

What stage of AI development does MetLife focus on?

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.

What technologies does MetLife's AI team work with?

Job postings at MetLife most frequently reference: model serving, llm observability, rag, fine tuning, agent orchestration.

How many AI roles has MetLife posted recently?

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).

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.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 5 active AI roles, up 33% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $103k–$175k (avg $138k).

Hiring

5 / 8

Momentum (4w)

↑+3 +33%

12 opens last 4w · 9 prior 4w

Salary range · avg $138k

$103k–$175k

USD · disclosed roles only

Tracked since

Sep '25

last role 2w ago

Hiring velocityscroll left for older weeks

1 new role

Sep 22

2 new roles

Feb 2

2 new roles

Mar 23

1 new role

Apr 6

2 new roles

4 new roles

2 new roles

May 4

6 new roles

2 new roles

1 new role

3 new roles

Jun 1

Jobs (11)

7 AI · 12 total active

Title	Stage	Function	Location	First seen	AI score
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	Engineering	—	5w ago	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	Engineering	—	Feb 4	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	Engineering	—	1w ago	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	Engineering	—	4w ago	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	Engineering	—	4w ago	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	Engineering	—	6w ago	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	Engineering	—	7w ago	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	Engineering	—	Apr 8	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	Engineering	—	Mar 29	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	Engineering	—	Feb 5	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	Engineering	—	Sep '25	7

Frequently asked questions

What AI roles is MetLife hiring for?
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.
What stage of AI development does MetLife focus on?
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.
What technologies does MetLife's AI team work with?
Job postings at MetLife most frequently reference: model serving, llm observability, rag, fine tuning, agent orchestration.
How many AI roles has MetLife posted recently?
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

Function

Location

First seen

AI score

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

Engineering

—

5w ago

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

Engineering

—

Feb 4

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

Engineering

—

1w ago

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

Engineering

—

4w ago

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

Engineering

—

4w ago

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

Engineering

—

6w ago

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

Engineering

—

7w ago

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

Engineering

—

Apr 8

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

Engineering

—

Mar 29

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

Engineering

—

Feb 5

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

Engineering

—

Sep '25