Senior AI Architect

13 hours ago

Kottayam, Kerala, India beBeeArchitect Full time ₹ 40,00,000 - ₹ 50,00,000

Job Opportunity:

As a seasoned technical architect, you will lead the design and implementation of scalable, event-driven agent orchestration frameworks, modular agent templates, and integration patterns for intelligent, governed, and reusable agent ecosystems.

This role plays a pivotal part in accelerating the deployment of AI-driven solutions across various commercial, reporting, and enterprise automation use cases. You will be responsible for architecting and governing the design of scalable, modular AI agent frameworks (Agent Mesh, Orchestrator, Memory, Canvas) for enterprise-wide reuse.

You will define event-driven orchestration and agentic execution patterns (e.g., Temporal, LangGraph, AST-RAG, reflection) to enable intelligent, context-aware workflows. Additionally, you will drive platform integration across platforms to ensure consistency in observability, security, and orchestration patterns.

Furthermore, you will develop reusable agent templates, blueprints, and context frameworks (e.g., MCP, semantic caching) to accelerate use case onboarding across domains. Lastly, you will establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents.

Responsibilities:

  • Architect and govern the design of scalable, modular AI agent frameworks
  • Define event-driven orchestration and agentic execution patterns
  • Drive platform integration across platforms
  • Develop reusable agent templates, blueprints, and context frameworks
  • Establish architecture standards to embed Responsible AI
  • Lead technical architecture planning

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 12+ years of experience in enterprise software or AI architecture roles
  • Proven experience in designing and implementing agent-based frameworks or AI orchestration platforms
  • Strong understanding of technologies such as LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management
  • Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks
  • Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams
  • Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders

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