Description

Lead enterprise-scale Agentic AI and RAG architecture across AWS and GCP, ensuring secure, scalable, and production-ready implementations.

This role is hybrid.

Responsibilities

• Design end-to-end architecture for multi-agent orchestration, supervisor agents, and reasoning workflows.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including semantic search and knowledge graph integration.
• Implement prompt engineering, evaluation engineering, and design-to-code conversion strategies.
• Ensure enterprise security alignment through Identity-as-Code, Policy-as-Code, and runtime AI governance.
• Create technical documentation, architecture diagrams, and lead review sessions with stakeholders.

Required Skills

• 12+ years of IT experience with a focus on enterprise architecture.
• Deep expertise in Agentic AI architecture and Retrieval-Augmented Generation (RAG).
• Hands-on experience with multi-agent orchestration and agent harness design.
• Proficiency in AWS and Google Cloud Platform (GCP).
• Strong knowledge of prompt engineering, evaluation frameworks, and React-pattern reasoning loops.
• Experience with semantic search, retrieval pipelines, and knowledge graph integration.
• Understanding of enterprise security architecture, Identity-as-Code, and Policy-as-Code.
• Experience with design-time and runtime AI governance.

Preferred Skills

• Experience in spec-driven development and technical stakeholder communication.

Key Skills

Education

Any Graduate