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At MetLife, we’re a purpose-driven company that helps our customers build a more confident future.
The Role
Designs, develops, tests, deploys, and maintains secure, scalable cloud-native full-stack applications using AI-first engineering practices. Translates business outcomes into technical specifications, architecture decisions, and acceptance criteria. Uses AI coding tools responsibly, partners with product and technical teams, supports production incidents, and drives automation and continuous improvement. Requires modern full-stack, API, data, cloud, DevOps, CI/CD, automated testing, and secure software development experience, with preferred exposure to Azure AI Foundry, Semantic Kernel, AI agents, RAG, and LLM applications.
Summary Generated by Built In
Description and Requirements
Role Description
The AI Engineer (Full Stack Engineering) designs, develops, tests, deploys, and maintains modern cloud-native applications using an AI-first engineering model. This role requires strong full-stack capability, upfront architecture and specification skills, responsible use of AI coding assistants, and ownership of quality, security, reliability, and production readiness.
Key Responsibilities
Candidate Qualifications
Tech Stack
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Role Description
The AI Engineer (Full Stack Engineering) designs, develops, tests, deploys, and maintains modern cloud-native applications using an AI-first engineering model. This role requires strong full-stack capability, upfront architecture and specification skills, responsible use of AI coding assistants, and ownership of quality, security, reliability, and production readiness.
Key Responsibilities
- Apply AI-first engineering practices across discovery, requirements, design, development, testing, deployment, operations, and continuous improvement.
- Translate business outcomes into clear technical specifications, architecture decisions, NFRs, design notes, and acceptance criteria.
- Build secure, scalable, resilient, observable, and maintainable full-stack solutions.
- Use AI responsibly to improve engineering productivity and software delivery quality.
- Partner with product, architecture, security, operations, and business teams to deliver aligned outcomes.
- Support incident resolution, automation, simplification, and continuous improvement activities.
Candidate Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience.
- At least 3 years of experience developing enterprise applications using modern full-stack, API, data, and cloud technologies.
- Hands-on experience with AI-assisted software delivery, GitHub Enterprise, and GitHub Copilot.
- Exposure to Azure AI Foundry, Copilot SDK, Semantic Kernel, AI agents, RAG, and LLM application patterns is preferred.
- Strong knowledge of Agile, DevOps, CI/CD, automated testing, API-first development, domain-driven design, and shift-left quality and security practices.
- Ability to clearly articulate requirements, design intent, constraints, trade-offs, and outcomes for people and AI-assisted platforms.
Tech Stack
- AI & Developer Productivity: GitHub Enterprise, GitHub Copilot, Azure AI Foundry, Microsoft Copilot ecosystem, Copilot SDK, Semantic Kernel, AI agents, RAG, LLM patterns.
- Cloud & Architecture: Microsoft Azure, cloud-native architecture, microservices, APIs, containers/Kubernetes, event-driven architecture, observability.
- Delivery & Engineering: Azure DevOps, Git, CI/CD, automated testing, SonarQube, secure coding, infrastructure as code, Agile, DDD, API-first, ADRs, NFRs.
- Development & Operations: Java, Spring Boot, ReactJS, HTML, JavaScript, mobile frameworks, SQL/NoSQL, authentication/authorization, API management, Veracode, Azure Application Insights, Elastic, logging, and monitoring.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Skills Required
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent experience
- At least 3 years of experience developing enterprise applications using modern full-stack, API, data, and cloud technologies
- Hands-on experience with AI-assisted software delivery
- Experience with GitHub Enterprise and GitHub Copilot
- Exposure to Azure AI Foundry, Copilot SDK, Semantic Kernel, AI agents, RAG, and LLM application patterns
- Knowledge of Agile, DevOps, CI/CD, automated testing, API-first development, domain-driven design, and shift-left quality and security practices
- Ability to articulate requirements, design intent, constraints, trade-offs, and outcomes
What the Team is Saying
Chelsea
Senior Threat Response Engineer
Nick
Assistant Vice President, Developer Platforms
Naren
AVP, Business Analytics
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Laura
Director, Artificial Intelligence
Bill
EVP & Head of Global Technology and Operations
Jing Huang
Software Platform Engineer
Sara Strauch
Portfolio Specialist, Emerging Markets
Dan Xiao
Principal Software Engineer
Cara Mootz
Senior Long-Term Disability (LTD) Claims Specialist
Cara Mootz
Senior Long-Term Disability (LTD) Claims Specialist
Naren Peri
Head of Data and Analytics, Hyderabad
Patricia Hixson
Senior Customer Care Advocate
Jing Huang
Software Platform Engineer
Samantha Heron
VP Global Head of HR Business Controls
Pete Clarke
ADA Unit Leader
Erica Provido
Assistant Vice President
Rene Rivera
Senior Full Stack Software Engineer
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MetLife Compensation & Benefits Highlights
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Retirement Support — Retirement support is strengthened by a company‑funded cash‑balance pension alongside a 401(k) with company match—an uncommon combination among large U.S. employers. Pension eligibility begins after one year, reinforcing long‑term savings.
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Healthcare Strength — Health coverage spans medical, dental, vision, and prescription drugs with access to HSAs/FSAs, wellness resources, and expert second‑opinion services. Targeted programs for cancer care, family‑building, menopause, musculoskeletal issues, and diabetes/hypertension broaden the support.
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Leave & Time Off Breadth — Time away is bolstered by a minimum of 22 days of PTO for U.S. employees plus a paid Volunteer Day, and many hybrid roles receive 10 additional virtual flex days. Flexible work arrangements are also highlighted for applicable roles.
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The Company
What We Do
We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
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MetLife Teams
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About our Teams
MetLife Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together
Typical time on-site:
Flexible
New York City, NY
Pune, IN
Mexico City, MX
Bridgewater, NJ
Cary, NC
Clark Summit, PA
Greenville, SC
Hyderabad, IN
Tampa, FL
Whippany, NJ
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