GenAI Solution Architect

Overview

The GenAI Solution Architect is a key member of the AI R&D team, responsible for designing and delivering advanced AI solutions leveraging LLMs, RAG, agentic architectures, and orchestration frameworks. The role provides technical leadership, accelerates knowledge transfer, and mentors internal engineers.

Key Responsibilities

• Design and implement scalable GenAI solutions for business use cases.
• Lead development of agentic and orchestrated multi-agent architectures.
• Collaborate with ML engineers to integrate models with enterprise data pipelines.
• Partner with process automation engineers to enhance RPA with AI capabilities.
• Provide technical mentorship to process automation engineers, accelerating AI skill development.
• Work with external consultants to ensure alignment and knowledge transfer.

Key Performance Indicators (KPIs )

Skills & Qualifications

Skills Required

CrewAI, LangChain, AWS Bedrock, n8n, LLMs, multi-agent architectures, Hugging Face, Azure OpenAI, AutoGen, LangGraph, GCP Vertex AI, RAG, PowerAutomate, LlamaIndex