Tech Stack

Description

You will design and evolve enterprise-level AI architectures across cloud environments, integrating LLMs and agentic AI into business processes. You'll translate complex business requirements into GenAI and AI/ML solutions, define best practices, and ensure compliance with governance and security standards.

Requirements

• 8+ years of experience in enterprise architecture with strong focus on AI/ML solutions.
• Proven experience designing and deploying AI architectures on cloud platforms (AWS, Azure, Google Cloud).
• Hands-on experience with Large Language Models, Generative AI solutions, and agentic AI frameworks.
• Strong proficiency in Python and data manipulation libraries.
• Solid understanding of AI security, governance, and responsible AI principles.

Responsibilities

• Design and evolve enterprise-level AI architectures across cloud environments (AWS, Azure, Google Cloud), ensuring scalability, security, and governance.
• Lead integration of Large Language Models (LLMs) and agentic AI into end-to-end business processes.
• Translate complex business requirements into robust GenAI and AI/ML solutions using Python.
• Define and maintain architecture designs, reference frameworks, patterns, and best practices for AI/ML, NLP, agentic AI, and knowledge management.
• Collaborate with cross-functional teams and ensure AI solutions comply with FAIR AI principles and enterprise governance.