Transformative Generative AI Visionary

2 weeks ago

Agra, Uttar Pradesh, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Overview:

The Generative AI Architect is responsible for leading the end-to-end architecture, design, and strategic enablement of GenAI platforms.

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

  • Architect and govern the design of scalable, modular AI agent frameworks for enterprise-wide reuse
  • Define event-driven orchestration and agentic execution patterns to enable intelligent, context-aware workflows
  • Drive platform integration across PepGenX, Agent Factory, and PepVigil to ensure consistency in observability, security, and orchestration patterns
  • Develop reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding across domains
  • Establish architecture standards to embed Responsible AI, 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.

Responsibilities:

  • Spearhead the development of AI-powered solutions, leveraging cutting-edge techniques and methodologies.
  • Collaborate with cross-functional teams to drive architectural decisions and implementation strategies.
  • Promote industry-leading best practices and adherence to industry-recognized standards.

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