Description

Architect end-to-end AI and LLM-based solutions for model lifecycle, governance, and automation.

This role is on-site.

Responsibilities

• Design scalable architecture using vector databases, embeddings, and workflow orchestration.
• Architect end-to-end AI and LLM-based solutions for model lifecycle, governance, and automation.
• Work with engineering teams to integrate AI components into enterprise systems.
• Provide technical leadership on Agentic AI frameworks (e.g., LangChain).
• Ensure architecture meets performance, reliability, and compliance requirements.

Required Skills

• 5+ years of experience designing enterprise AI systems.
• Deep understanding of LLMs and Agentic AI.
• Proficiency with LangChain for orchestration.
• Strong knowledge of vector databases.
• Experience with modern cloud-native AI architectures.
• Understanding of data pipelines.
• Ability to ensure enterprise compliance and reliability.

Preferred Skills

• Any Graduate.

Key Skills

Education

Any Gradute