Description
We are seeking a highly skilled Senior Generative AI Engineer Lead to drive the design, development, and deployment of enterprise-grade Generative AI solutions. 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. The candidate will also establish engineering best practices around prompt governance, model guardrails, benchmarking, and performance optimization.

Responsibilities
Generative AI Solution Design
- 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.

Prompt Engineering & LLM Governance
- Develop and maintain sophisticated prompt engineering frameworks for controlled and reliable LLM outputs.
- Implement prompt versioning, prompt lifecycle management, and testing strategies.
- Design AI guardrails to mitigate hallucinations, bias, security risks, and compliance concerns.
- Establish best practices for prompt optimization, response consistency, and output quality management.

AI Workflow Orchestration & Automation
- Design and build scalable orchestration pipelines using frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or equivalent.
- Develop reusable AI components, tools, agents, and workflow templates for enterprise adoption.
- Implement multi-agent systems and autonomous workflows to support compl

📌 Gen AI (India)
🏢 EXL
📍 India