Staff Engineer (Architect) – AI Platform / Agentic AI

We are seeking a Staff Engineer (Architect) to drive the design and scalability of AI-powered automation systems (agentic AI) that will transform billing and revenue operations for our global SaaS customers. This role is critical in shaping Chargebee’s next generation of intelligent, multi-tenant automation products.


You will report to the Senior Director of Engineering and partner closely with product, engineering managers, and cross-functional stakeholders. As a technical leader, you’ll bring architectural clarity, scale-conscious design, and thought leadership to ensure we build a robust, secure, and extensible AI automation platform that serves thousands of customers reliably.

• Design end-to-end architecture for AI automation platforms
• Build scalable multi-tenant SaaS systems
• Design Agentic AI frameworks and orchestration platforms
• Architect MCP integrations and tool orchestration
• Design memory management and RAG pipelines
• Build evaluation frameworks for LLM applications
• Design asynchronous workflows and streaming pipelines
• Develop reusable APIs and AI platform components
• Define AI deployment, monitoring, and governance strategies
• Implement AI observability and model lifecycle management
• Ensure AI security, explainability, and compliance
• Mentor engineering teams and drive architectural decisions
• Collaborate with Product, Engineering, Security, and Platform teams

• Software Architecture
• Distributed Systems
• Multi-Tenant SaaS Architecture
• AWS Cloud
• Python
• JavaScript
• Agentic AI
• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI Agent Frameworks
• Prompt Engineering
• Vector Databases
• Object-Oriented Design
• Relational Databases
• Streaming Systems
• Asynchronous Processing
• API Design
• Cloud-Native Development
• System Design

• Bachelor's or Master's Degree in Computer Science or related field
• 10+ years of Software Engineering experience
• Minimum 5+ years in Technical Leadership or Architecture roles
• Strong expertise in Distributed Systems
• Experience building Enterprise SaaS Platforms
• Deep knowledge of AWS Cloud
• Strong Python and JavaScript programming skills
• Experience building LLM and RAG applications
• Proven leadership and mentoring experience