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.
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
Skills Required
- Python
- 8-12 years software engineering experience with AI/ML or platform development
- Strong backend development experience
- SQL (data modeling, querying, performance tuning)
- Microservices architecture and RESTful APIs
- Experience building end-to-end AI-enabled applications and integrations
- Experience with production AI/ML solutions
- Experience with LLM frameworks (e.g., LangChain, Semantic Kernel)
- Knowledge of prompt engineering, RAG architecture, and vector databases
- Hands-on experience with document processing or NLP-based applications
- Experience with copilot/agent-based systems and AI-driven automation platforms
- Leverage and develop Harness frameworks and AI tools
- Azure DevOps (CI/CD pipelines, release management)
- Familiarity with cloud-native application development (Azure preferred)
- Strong software engineering frameworks, API-first design, and scalable distributed systems
- Experience designing and managing data pipelines, storage, and retrieval mechanisms
- Production support, monitoring, and continuous improvement experience
- Familiarity with observability tools (Application Insights, monitoring frameworks)
- Exposure to enterprise AI governance, security, and compliance
- Domain experience in Disability, Insurance, or Claims
MetLife Compensation & Benefits Highlights
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Retirement Support — Retirement benefits combine a 401(k) with company match and a company‑funded cash‑balance pension. This uncommon pairing strengthens long‑term security.
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Parental & Family Support — Family supports include paid parental leave, adoption assistance, caregiving resources, fertility coverage, and practical travel supports for nursing parents. These provisions go beyond core insurance to address real‑world family needs.
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Leave & Time Off Breadth — Time away includes a minimum of 22 days of PTO annually and a paid volunteer day, alongside bereavement and other leave options. This breadth provides meaningful flexibility for rest and life events.
MetLife Insights
What We Do
We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
Gallery
MetLife Teams
MetLife Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together



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