AI Architect

Job Summary

We are looking for an experienced AI Architect with strong expertise in Google Cloud Platform (GCP) and Vertex AI to design, develop, and implement scalable AI and Generative AI solutions. The ideal candidate will have hands-on experience in AI/ML architecture, Large Language Models (LLMs), RAG, MLOps, and cloud-native AI services.

The candidate will be responsible for defining AI architecture strategies, leading technical implementations, and collaborating with engineering teams to deliver enterprise-grade AI solutions.

Key Responsibilities

• Design and architect scalable AI/ML and Generative AI solutions using GCP and Vertex AI.
• Define end-to-end architecture for LLM-powered applications, AI agents, and enterprise AI platforms.
• Develop and implement Retrieval-Augmented Generation (RAG) solutions using Vertex AI and vector databases.
• Leverage Vertex AI Model Garden, Gemini models, Vertex AI Studio, and Vertex AI Agent Builder.
• Design AI pipelines for model training, fine-tuning, evaluation, and deployment.
• Establish MLOps and LLMOps practices for continuous integration, deployment, and monitoring.
• Collaborate with data engineering, software engineering, and business teams to translate business requirements into AI solutions.
• Ensure AI solutions meet enterprise standards for scalability, security, governance, and performance.
• Evaluate emerging AI technologies, frameworks, and models to improve solution capabilities.
• Provide technical leadership and guidance to AI/ML engineers and development teams.
• Optimize cloud infrastructure and AI workloads for cost efficiency and performance.