ML Architect

📋 Description

• • As an ML Architect at Quantiphi, you will design and deliver enterprise-grade AI solutions powered by Large Language Models and Generative AI technologies, translating complex data and knowledge systems into scalable AI architectures that enable intelligent applications, AI copilots, and advanced knowledge discovery capabilities.
• • You will partner with business and engineering teams to architect end-to-end Generative AI solutions, design Retrieval-Augmented Generation (RAG) architectures, build LLM applications and AI copilots using LangChain or LangGraph, define vector search and semantic retrieval pipelines, and ensure responsible AI practices through model evaluation, guardrails, monitoring, and governance—all within the Google Cloud Platform ecosystem.
• • Quantiphi is a global, AI-first digital engineering company with a culture built on transparency, diversity, integrity, learning, and growth, where innovation is encouraged and employees are empowered to excel both professionally and personally.
• • In this role, you will gain deep expertise in cutting-edge Generative AI technologies, lead technical initiatives across ML and AI projects, mentor engineers, and shape enterprise AI adoption strategies while working on high-impact solutions for Fortune 500 clients.
• • You will architect secure, scalable cloud-native AI platforms on GCP, develop AI reference architectures and design patterns, and drive value creation by identifying opportunities where AI unlocks insights from large knowledge and data ecosystems.
• • You will collaborate closely with cross-functional teams to translate architectural designs into production-ready AI systems, establish best practices for enterprise AI adoption, and provide technical leadership that influences the direction of ML and AI initiatives across the organization.
• • This role offers the opportunity to work at the forefront of AI innovation in a research-focused organization with over 60 patents filed, contributing to breakthrough advancements in AI, ML, data, and cloud technologies while growing your expertise in a supportive, high-achieving environment.