Sr. Software Platform Engineer I

MetLife; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

MetLife is seeking a Senior AI Engineer within the Group Disability & Absence domain to advance AI-driven automation across claims and operations platforms. You will design, develop, and scale AI-powered solutions including agentic AI systems and copilots to improve accuracy, speed, and governance.

You will collaborate with cross-functional teams to deliver secure, production-grade AI services, APIs, and data pipelines, leveraging Azure ecosystem and CI/CD pipelines for automated build, release,

Qualifications

• 8–12 years of software engineering experience with a focus on AI/ML or platform development.
• Strong experience building production AI solutions and microservices.
• Proficiency in Python and backend system design.
• Hands-on experience with LangChain, Semantic Kernel, or similar frameworks.

Responsibilities

• Design, develop, and scale AI-powered automation and decisioning platforms.
• Build agent-based systems and multi-agent orchestration for enterprise use cases.
• Develop end-to-end AI-enabled apps integrating APIs, microservices, and data platforms.
• Implement CI/CD pipelines on Azure DevOps and ensure production readiness.
• Ensure governance, security, and observability in deployments.

Skills

Python

Backend development

RESTful APIs

AI/ML

Tools

LangChain

Semantic Kernel

Azure DevOps

Vector databases

Job description

• Programming: Python (mandatory), strong backend development experience

Role Value Proposition

MetLife is the leading provider of Group Benefits. The Group Disability technology organization is a diverse team oftechnologists, 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

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

• 8-12years of experience in software engineering with focus on AI/ML or platform development