AI Engineer (Full Stack Engineering)

About the role

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.

About you

• Bachelor of Computer Science, Engineering, Information Technology, or equivalent experience.
• Minimum 6 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.
• Ability to express requirements, design intent, constraints, trade-offs, and expected outcomes clearly for people and AI-assisted platforms.
• Proven ability to work effectively with global, multicultural, cross-functional teams.

About us

MetLife is a leading global life insurance and employee benefit company, with 90 million customers in over 60 countries. We are leading the global transformation of an industry we've long defined. At MetLife, you'll have accountability for end-to-end solutions, working with other talented engineers who share your passion for technology, distinctive digital experiences and customer-driven innovation. From implementing new platforms to migrating applications to the cloud, you'll be instrumental in creating technologies built to scale. We hire smart, creative, collaborative people who are kind to each other. We embrace diversity, equity and inclusion.