Sr. Software Platform Engineer II (Senior AI Engineer)

Description and Requirements
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
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!
#BI-Hybrid