MetLife Hiring! Full Time AI Engineer (Full Stack Engineering Lead) in Federal Territory - Ricebowl

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: