AI Architecture Innovator

21 hours ago

Alwar, Rajasthan, India beBeeGenerative Full time ₹ 1,50,00,000 - ₹ 2,03,00,000
Job Title

Lead Generative AI Architect to Accelerate Enterprise Adoption

  • This is a high-profile role for an experienced technical leader who can shape the direction of our enterprise-grade GenAI platforms.

Main Responsibilities:

  • Design and implement scalable, modular AI agent frameworks (Agent Mesh, Orchestrator, Memory, Canvas) for reuse across the organization
  • Develop event-driven orchestration and agentic execution patterns to enable intelligent workflows
  • Drive platform integration across GenAI platforms to ensure consistency in observability, security, and orchestration
  • Create reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding
  • Establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents
  • Lead technical architecture planning across delivery sprints and vendor integration tracks

Requirements:

  • 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, with recent focus on LLMs, Generative AI, or intelligent agents
  • 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 ability to articulate complex technical concepts

Achieving Success:

  • Achieve rapid deployment of AI-driven solutions across commercial and enterprise automation use cases
  • Ensure consistency in observability, security, and orchestration patterns
  • Embed Responsible AI (RAI) and data privacy within GenAI agents
  • Influence enterprise architecture and guide cross-functional teams

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