Description

You will own the design and implementation of enterprise-grade, cloud-native architectures blending data, ML/AI, and customer-facing solutions.

Responsibilities

• Design and drive transformation projects for global customers, focusing on regulated industries.
• Combine legacy system modernization with advanced AI/Agentic AI design.
• Architect highly scalable, resilient, and cost-efficient large-scale data and AI solutions across multiple geographies.
• Manage the full AI Agent lifecycle, from design and development through deployment and monitoring at enterprise scale.

Required Skills

• 12–15 years of progressive experience as a Data Architect, Cloud Architect, or AI Solution Architect.
• Deep expertise with Google Cloud Platform (GCP) or AWS, covering compute, storage, and data warehousing.
• Proficiency in MLOps and DevOps pipelines, including CI/CD automation and Infrastructure as Code (Terraform).
• Strong Python proficiency; working experience in Java, Go, and JavaScript/TypeScript for backend integration.
• Experience with Generative AI/LLMs (Gemini, ChatGPT, Claude) and grounding enterprise data.
• Familiarity with vector databases (Pinecone, Supabase) and knowledge graph integration.
• Deep understanding of security, IAM policies, and compliance in cloud + AI architectures.
• Experience with modular AI frameworks (LangGraph, LangChain, CrewAI) for orchestrating systems.

Key Skills

Education

Any Gradute