Description

Key Responsibilities

AI Strategy & Architecture

• Define enterprise AI architecture and target-state roadmap.
• Design scalable, secure, and high-performing AI solutions.
• Evaluate and recommend AI platforms, frameworks, and tools.
• Establish AI governance, security, compliance, and responsible AI practices.
• Generative AI & Agentic AI
• Design and implement GenAI solutions using LLMs.
• Build RAG (Retrieval-Augmented Generation) architectures.
• Design AI Agents and multi-agent orchestration frameworks.
• Define prompt engineering, fine-tuning, and model evaluation strategies.
• Cloud & Platform Architecture
• Architect AI solutions on Azure AI Foundry, Azure OpenAI, AWS Bedrock, or similar platforms.
• Design integrations between enterprise applications and AI services.
• Establish MLOps and LLMOps frameworks for deployment and monitoring.
• Technical Leadership
• Lead architecture reviews and solution design workshops.
• Mentor development and AI engineering teams.
• Support client discussions, PoCs, and solution proposals.

Required Technical Skills

• Generative AI, LLMs, Agentic AI
• Azure OpenAI / Azure AI Foundry
• AWS Bedrock
• RAG Architecture
• LangChain / LlamaIndex / Semantic Kernel
• AI Agents & Multi-Agent Systems
• Python

Key Skills

Education

Any Graduate