GenAI Architect

Job Overview

We are looking for a Senior GenAI Architect with strong expertise in Data Engineering, Analytics, Generative AI, and Agentic AI workflows. The candidate will design and build scalable AI-driven solutions leveraging enterprise data, LLMs, RAG, and agent-based architectures.

Key Responsibilities

• Design and develop GenAI and Agentic AI applications using Python and modern AI frameworks.
• Build scalable data pipelines, data processing, and analytics solutions.
• Develop LLM/RAG-based applications integrating enterprise data sources.
• Design and implement agentic workflows, AI agents, orchestration, and tool integrations.
• Work with structured and unstructured data for AI and analytics use cases.
• Integrate LLMs with APIs, databases, knowledge sources, and enterprise platforms.
• Implement evaluation, monitoring, security, and governance for GenAI solutions.
• Collaborate with Data Engineers, Data Scientists, Architects, and business stakeholders.
• Drive solutions from POC/prototype through production deployment.

Must-have Skills

• 15+ years of software/data engineering experience.
• Strong Python.
• Generative AI / LLM / RAG.
• Agentic AI / AI Agents / Agent Orchestration.
• Strong Data Engineering & Analytics.
• SQL and modern data platforms.
• APIs, microservices, and cloud platforms.
• Languages such as LangChain, LangGraph, or similar LLM frameworks.
• Strong AI Architecture, Data Architecture, and Enterprise Integration.
• Excellent communication and stakeholder management skills.