AI Engineer (Full Stack Engineering Lead)

Description and Requirements

Role Value Proposition

MetLife is offering an exciting opportunity to contribute to our digital and AI transformation journey. We are moving to an AI-first way of working, where engineers, AI agents and copilots are core collaborators across the software delivery lifecycle. The engineers who thrive in this model are those who can think clearly upfront, specify intent and constraints explicitly, and direct AI systems with precision - while retaining full ownership, judgment, and accountability for what gets built.

Role Description

The AI Engineer (Full Stack Engineering) is responsible for the design, development, and maintenance of cloud native/modern software solutions, increasingly built in partnership with AI coding agents and copilots. Success in this role depends as much on strong upfront architecture, design, and specification skills as it does on hands-on coding - and on the ability to clearly articulate intent, constraints, and acceptance criteria so that both AI systems and human collaborators can execute against them reliably.

Key Responsibilities:

• Apply AI-first engineering practices across discovery, requirements, design, development, testing, deployment, operations, and continuous improvement.

• Create clear functional and technical specifications, architecture decisions, NFRs, design notes, and acceptance criteria that guide high-quality delivery.

• Design, develop, test, deploy, and maintain modern full-stack, cloud-native applications that are secure, scalable, resilient, observable, and maintainable.

• Use AI responsibly to accelerate engineering productivity while retaining accountability for code quality, design correctness, testing, security, and production readiness.

• Partner with product owners, architects, security, operations, and business stakeholders to translate business outcomes into executable engineering plans.

• Review solution designs, code, tests, and operational readiness to ensure consistency with enterprise architecture, security, compliance, and engineering standards.

• Investigate and resolve production incidents, service requests, and performance issues while driving automation, simplification, and continuous improvement.

Candidate Qualifications:

Education:

• Bachelor of Computer Science, Engineering, Information Technology, or equivalent experience.

Experience:

• Minimum 7 years of experience developing enterprise applications using modern full-stack, API, data, and cloud technology capabilities.

• Hands-on experience with AI-first engineering practices and AI-assisted software delivery in a modern engineering environment.

• Experience with GitHub Enterprise and GitHub Copilot; exposure to Microsoft AI capabilities such as Azure AI Foundry, Copilot SDK, Semantic Kernel, AI agents, RAG, and LLM-based application patterns is preferred.

• Experience developing secure, mission-critical, cloud-native applications in complex or regulated enterprise environments.

• Proficiency in Agile, CI/CD, DevOps, automated testing, shift-left engineering, domain-driven design, API-first development, and modern architecture patterns.

• Technical articulation: Ability to express requirements, design intent, constraints, trade-offs, and expected outcomes clearly for people and AI-assisted platforms.

• Collaboration: Proven ability to work effectively with global, multicultural, cross-functional teams.

Tech Stack

AI-First Engineering & Developer Productivity:

GitHub Enterprise, GitHub Copilot, Azure AI Foundry, Microsoft Copilot ecosystem, Copilot SDK, Semantic Kernel, AI agents, RAG, LLM application patterns

Cloud & Modern Architecture:

Microsoft Azure, cloud-native architecture, microservices, APIs, containers/Kubernetes, event-driven architecture, observability

DevOps & Delivery:

Azure DevOps, Git, CI/CD, automated testing, SonarQube, secure coding, infrastructure as code

Engineering Practices:

Agile, domain-driven design, API-first development,

Architecture Decision Records (ADR's) , N o - F unctional R equirement s ( NFR's) , shift-left quality and security

Development Frameworks and Languages:

Java, Spring Boot, ReactJS, HTML, JavaScript, mobile frameworks, SQL/NoSQL databases

Security, Integration & Monitoring:

Authentication/authorization, API management, Veracode, Azure AppInsights, Elastic, enterprise 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!