Senior Generative AI Systems Designer

1 week ago

Vellore, Tamil Nadu, India beBeeGenerative Full time ₹ 2,20,00,000 - ₹ 2,70,00,000

About the Role

We are seeking a Senior Generative AI Systems Designer to play a pivotal role in leading the design and strategic enablement of our enterprise-grade GenAI platforms.

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

The position involves developing reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding across domains, establishing architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents, and leading technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product release.

Responsibilities:

  • Design and govern the creation of scalable, modular AI agent frameworks for enterprise-wide reuse
  • Define event-driven orchestration and agentic execution patterns to enable intelligent, context-aware workflows
  • Develop reusable agent templates, blueprints, and context frameworks 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

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 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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