AI Architect
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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.