AI Architect

Role summary

Leads end-to-end AI/ML solution architecture, including RAG pipeline patterns, Context Engineering, Memory Management, governance framework, security posture, prompt frameworks, and agent workflow design, Gen AI Architecture; and owns orchestrator design, the MCP Integration Framework architecture, the GraphRAG query-generation approach, and evaluation architecture.

Key responsibilities

• Own RAG pipeline patterns, Context Engineering, Memory Management, governance framework, security posture, prompt frameworks, and agent workflow design, Gen AI Architecture.
• Ensure feature designs align with the overall platform architecture and engineering standard
• Partner with the Knowledge Graph Architect on KG-dependent capability design
• Review and approve designs proposed by the AI/ML Engineers before sprint commitment
• Own orchestrator design and the MCP Integration Framework architecture
• Define the GraphRAG query-generation approach for the platform
• Own evaluation architecture for platform AI components
• Verify engineering-standard compliance of platform designs jointly with the Technical Architect

Required skills & experience

• 8+ years AI/ML solution architecture experience, including RAG pipeline and prompt-framework design
• Hands-on experience designing multi-agent workflows
• Strong grasp of platform architecture alignment and compliance / engineering standards
• Prior experience owning solution architecture for an AI product suite
• Hands-on experience with AWS and with MCP or comparable agent-integration protocols
• Experience designing evaluation architecture for AI systems
• Comfortable verifying engineering-standard compliance alignment jointly with a Solution Architect

Preferred qualifications

• Experience architecting across six or more concurrent capability suites
• Familiarity with knowledge-graph-backed retrieval
• Experience defining a formal MCP registration / agent-card standard
• Evaluation architecture experience tied to MLflow or similar

Education

B.Tech/M.Tech in Computer Science, AI/ML, or a related field, or equivalent practical experience.