ML Architect

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

**Role Overview:**

We are seeking a **Machine Learning Architect / AI Solutions Architect** to design and deliver enterprise-grade AI solutions powered by **Large Language Models and Generative AI technologies**. In this role, you will partner with business and engineering teams to translate complex data and knowledge systems into **scalable AI architectures**, enabling intelligent applications, AI copilots, and advanced knowledge discovery capabilities.

**Key Responsibilities:**

• Architect and design **end-to-end Generative AI solutions** leveraging Large Language Models and modern AI frameworks.
• Design **Retrieval-Augmented Generation (RAG) architectures** integrating enterprise knowledge bases, documents, and structured data.
• Build and guide development of **LLM applications, intelligent assistants, and AI copilots** using **LangChain, LangGraph, or similar orchestration frameworks**.
• Define architectures for **vector search, embeddings, and semantic retrieval pipelines** that support scalable knowledge discovery.
• Work closely with engineering teams to translate architectural designs into **production-ready AI systems**.
• Develop **AI reference architectures, design patterns, and best practices** for enterprise adoption of Generative AI.
• Partner with business stakeholders to identify opportunities where **AI can unlock value from large knowledge and data ecosystems**.
• Design **secure and scalable cloud-native AI platforms** within the **Google Cloud Platform ecosystem**.
• Ensure responsible AI practices through **model evaluation frameworks, guardrails, monitoring, and governance mechanisms**.
• Mentor engineers and provide **technical leadership across ML and AI initiatives**.

**Basic Qualifications:**

• Proven experience designing **LLM-powered applications and Generative AI solutions**
• Strong expertise in **Retrieval-Augmented Generation (RAG) architectures**, embeddings, and vector search.
• Hands-on experience with **LLM orchestration frameworks such as LangChain or LangGraph** or equivalent
• Experience designing **AI solutions within the Google Cloud Platform ecosystem** (Vertex AI, BigQuery, GKE, etc.).
• Strong programming experience in **Python** and experience working with modern ML frameworks.
• Deep understanding of **enterprise data architectures, APIs, and distributed systems**.
• Experience communicating complex technical architectures to both **technical and non-technical stakeholders**.

**Other Qualifications (OQs):**

• Experience designing **AI solutions for large knowledge repositories, digital content platforms, or enterprise data ecosystems**.
• Experience with **vector databases**
• Familiarity with **agent-based AI architectures and multi-step AI workflows**.
• Experience with **MLOps, model lifecycle management, and AI governance frameworks**.
• Exposure to **document intelligence, semantic search, or knowledge graph technologies**.

**What’s in it for YOU at Quantiphi:**

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

*If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us**!*