Expert Generative AI Strategist

10 hours ago

Guntur, Andhra Pradesh, India beBeeGenerativeaiarchitect Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Lead Generative AI Architect

We are seeking a highly skilled Lead Generative AI Architect to join our team.

The ideal candidate will have a strong background in designing and implementing agent-based frameworks or AI orchestration platforms, with a recent focus on LLMs, Generative AI, or intelligent agents.

This role defines scalable, event-driven agent orchestration frameworks, modular agent templates, and integration patterns that enable intelligent, governed, and reusable agent ecosystems.

The position plays a pivotal role in accelerating the deployment of AI-driven solutions across commercial, reporting, and enterprise automation use cases.

Key Responsibilities:

  • Architect and govern the design of scalable, modular AI agent frameworks (Agent Mesh, Orchestrator, Memory, Canvas) for enterprise-wide reuse.
  • Define event-driven orchestration and agentic execution patterns (e.g., Temporal, LangGraph, AST-RAG, reflection) to enable intelligent, context-aware workflows.
  • Drive platform integration across Agent Factory and related systems to ensure consistency in observability, security, and orchestration patterns.
  • Develop reusable agent templates, blueprints, and context frameworks (e.g., MCP, semantic caching) to accelerate use case onboarding across domains.
  • Establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents.
  • Lead technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product release.

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, with a 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 the ability to articulate complex technical concepts to diverse stakeholders.

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