Senior AI Architect

Magnet HR Tech Digital; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Magnet HR Tech Digital is seeking a Senior AI Architect in Bengaluru to provide strategic vision and governance for enterprise AI initiatives. You will design multi-agent layouts, construct knowledge graphs and ontologies, and define secure deployment across global cloud environments, guiding teams from proof-of-concept to production.

The role emphasizes leadership in MCP integration, model gateways, and scalable, compliant deployment strategies within a large enterprise setting.

Qualifications

• 8–12 years of experience in AI architecture and leadership.
• Experience designing multi-agent architectures and orchestration layers.
• Proven ability to deploy across multi-cloud environments.

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 MCP across teams.
• Design secure Model Gateways to monitor traffic, control access, and optimize costs.
• Formulate comprehensive production deployment strategies across global enterprise infrastructure.

Skills

Multi-agent systems

Orchestration

Harness engineering

Knowledge graphs

Ontologies

MCP

Model Gateways

Deployment strategy

Job description

• 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 safe 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,orchestration,design,harness