Description

Design and architect scalable Generative AI solutions, leading end-to-end development from concept to production deployment.

This role is hybrid.

Responsibilities

• Architect enterprise-scale GenAI solutions using LangChain, LangGraph, RAG, and agentic AI patterns.
• Build and optimize RAG pipelines leveraging vector databases, knowledge graphs, and LLM integrations.
• Lead AI solution architecture and deployment on AWS, Azure, or GCP.
• Collaborate with data engineering and DevOps teams on cloud infrastructure, CI/CD, and release pipelines.
• Provide technical leadership and mentorship, ensuring solutions meet security, compliance, and performance standards.

Required Skills

• 10+ years of overall experience in software engineering and solution architecture.
• Proven expertise in Python for AI solution development.
• Deep knowledge of LangChain and LangGraph frameworks.
• Hands-on experience implementing RAG architectures.
• Strong experience with agentic AI design patterns.
• Proficiency in cloud platforms: AWS, Azure, or GCP.
• Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field.

Key Skills

Education

Any Graduate