• Level / Experience: Manager (M) | 8 to 12 Years
• Job Overview: As a Senior AI Architect, you will provide strategic vision and technical governance for our enterprise AI initiatives. This leadership role centers on designing complex multi-agent system layouts, structuring orchestration layers, and designing harness engineering methodologies to measure AI system reliability. You will lead the creation of foundational data structures, including knowledge graphs, semantic contexts, and enterprise ontologies that power agent interactions. Furthermore, you will define architecture standards for secure Model Gateways, ensuring secure API usage and data privacy. You will establish deployment strategies across multi-cloud environments, guiding engineering teams from proof-of-concept stages straight into highly scalable, compliant production operations.
• Key Responsibilities:




• Architect multi-agent orchestration systems and establish rigorous harness engineering practices.
• Design enterprise knowledge graphs, context boundaries, and structural ontologies.
• Lead integration strategies for LLMs using Model Context Protocol (MCP) across teams.
• Design secure Model Gateways to monitor traffic, control access, and optimize operational costs.
• Formulate comprehensive production deployment strategies across global enterprise infrastructure.

• Required Skills: Multi-agent system design and orchestration, harness engineering, knowledge graphs, context and ontologies building, MCP, Model Gateways, Deployment strategy.

Skills: deployment strategies,graphs,ontologies,mcp,multi agent,orchestration,design,harness

📌 Senior AI Architect (Bengaluru)
🏢 Magnet HR Tech Digital
📍 Bengaluru