Sr. Software Platform Engineer I

Description and Requirements

• Role Value Proposition
• MetLife is the leading provider of Group Benefits. The Group Disability technology organization is a diverse team of technologists, all working towards the common goal of ensuring the customer is at the center of everything we do. As a Senior AI Engineer within the Group Disability & Absence domain, you will play a critical role in advancing AI-driven automation and decisioning capabilities across claims and operations platforms at MetLife.
• You will be responsible for designing, developing, and scaling AI-powered solutions (including agentic AI systems and copilots) that enhance claims processing, medical summarization, document intelligence, and workflow automation. These solutions directly impact business outcomes by improving accuracy, speed, and operational efficiency while ensuring governance and compliance standards.
• You will collaborate with cross-functional teams to deliver scalable, secure, and production-grade AI solutions aligned with MetLife’s digital transformation journey.
• Key Responsibilities -
• AI / Agent Development
• Design and develop AI agents and multi-agent systems for enterprise use cases (workflow automation, copilots, decision systems).
• Build agent orchestration frameworks leveraging LLMs and tool integrations.
• Develop solutions for document processing, summarization, classification, and knowledge retrieval systems.
• Application Engineering & Platform Integration
• Develop end-to-end AI-enabled applications integrating:
• Backend systems
• APIs and microservices
• Data platforms
• Ensure seamless integration with enterprise systems across claims platforms, document hubs, and workflow engines.
• Software Engineering & Architecture
• Build and maintain scalable microservices-based architectures using modern software engineering practices.
• Implement robust APIs and reusable frameworks for AI services.
• Ensure high standards in code quality, performance optimization, and maintainability.
• Data, DevOps & Production Support
• Design and manage data pipelines, storage, and retrieval mechanisms.
• Leverage Azure DevOps and CI/CD pipelines for automated build, release, and deployment.
• Provide production support, monitoring, and continuous improvements for deployed AI solutions.
• Technical Skills:
• Core Engineering Skills
• Programming: Python (mandatory), strong backend development experience
• Database: SQL (data modeling, querying, performance tuning)
• Architecture: Microservices architecture, RESTful APIs
• Application Engineering: End-to-end solution design (backend + integrations)
• AI / ML & Automation
• Experience with AI/ML solutions in production environments
• Experience with LLM frameworks ( LangChain , Semantic Kernel, or similar)
• Knowledge of prompt engineering, RAG architecture, vector databases
• Hands-on experience with:
• AI-driven automation platforms
• Copilot / Agent-based systems
• Document processing or NLP-based applications
• Leverage and develop Harness framworks and AI Tools (mandatory)
• Platform & DevOps
• Azure ecosystem (preferred)
• Azure DevOps (CI/CD pipelines, release management)
• Knowledge of cloud-native application development
• Frameworks & Engineering Practices
• Strong grounding in:
• Software engineering frameworks and patterns
• API-first design
• Scalable and distributed systems
• Preferred Skills
• Experience in Disability, Insurance, or Claims domain
• Familiarity with observability tools (Application Insights, monitoring frameworks)
• Exposure to enterprise AI governance, security, and compliance
• Experience –
• 8–12 years of experience in software engineering with focus on AI/ML or platform development