Description

Define enterprise AI architecture, roadmap, and governance while designing scalable Generative and Agentic AI solutions on cloud platforms.

This role is on-site.

Responsibilities

• Define enterprise AI architecture, target-state roadmap, and governance frameworks.
• Design and implement GenAI solutions using LLMs, RAG architectures, and multi-agent orchestration.
• Architect AI solutions on Azure AI Foundry, Azure OpenAI, or AWS Bedrock with MLOps/LLMOps integration.
• Lead architecture reviews, solution design workshops, and technical mentorship for engineering teams.
• Evaluate AI platforms and establish security, compliance, and responsible AI practices.

Required Skills

• 5+ years of experience in AI/ML architecture and engineering.
• Deep expertise in Generative AI, LLMs, and Agentic AI design.
• Hands-on experience with Azure OpenAI, Azure AI Foundry, or AWS Bedrock.
• Strong proficiency in Python and RAG architecture implementation.
• Experience with LangChain, LlamaIndex, or Semantic Kernel.
• Knowledge of multi-agent systems and prompt engineering strategies.
• Ability to design scalable, secure enterprise AI integrations.

Preferred Skills

• Experience establishing LLMOps frameworks for deployment and monitoring.
• Background in client-facing solution proposals and PoCs.

Key Skills

Education

Any Graduate