Description

Design and lead enterprise automation architectures with a focus on Agentic AI solutions.

This role is on-site.

Responsibilities

• Architect and build Agentic AI solutions using modern AI frameworks and multi-agent systems.
• Develop LLM applications, RAG pipelines, and prompt engineering strategies.
• Implement orchestration using LangGraph, LangChain, CrewAI, AutoGen, or similar tools.
• Integrate AI solutions with existing enterprise systems and business processes.
• Manage stakeholder relationships and communicate technical architecture decisions.

Required Skills

• 15+ years of overall IT experience with strong solution architecture background.
• Hands-on expertise in Python and AI/ML ecosystems.
• Deep knowledge of LLMs, AI Agents, and Multi-Agent Systems.
• Experience with orchestration frameworks: LangGraph, LangChain, CrewAI, or AutoGen.
• Proficiency in cloud platforms (AWS, Azure, or GCP).
• Proven ability to integrate AI with enterprise business processes.

Preferred Skills

• Advanced prompt engineering and RAG implementation experience.

Key Skills

Education

Bachelor's degree