Gen AI - Engineering Lead

About the role

The ideal candidate will have deep expertise in Large Language Models (LLMs), prompt engineering, AI orchestration frameworks, cloud-native AI architectures, and model evaluation methodologies. This role will lead the end-to-end lifecycle of GenAI initiatives, from translating business requirements into AI-powered prototypes to delivering scalable, production-ready solutions across AWS, GCP, and Snowflake ecosystems.

What you'll do

• Lead the end-to-end lifecycle of GenAI initiatives, from translating business requirements into AI-powered prototypes to delivering scalable
• Architect and implement enterprise-scale GenAI solutions using LLMs, foundation models, and agentic AI frameworks
• Design reusable AI patterns, accelerators, and reference architectures to enable rapid solution development
• Translate business problems into scalable AI workflows and production-ready proof-of-concepts
• Drive AI platform modernization through adoption of emerging GenAI technologies and best practices

What you need

• 8–14 yrs of experience
• Machine learning
• LLMs
• Python
• Snowflake
• Prompt engineering
• AWS
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Prototyping
• GCP