Description

Architect end-to-end AI and LLM-based solutions for model lifecycle, governance, and automation. Design scalable architecture using vector databases, embeddings, and workflow orchestration. Provide technical leadership on Agentic AI frameworks and ensure enterprise systems meet performance, reliability, and compliance requirements.

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, Agentic AI, LangChain, orchestration, and vector databases.
• Strong knowledge of data pipelines and modern cloud native AI architectures.

Key Skills

Education

Any Gradute