ML Architect

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.

• 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 Lang Chain, Lang Graph, 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.

• 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 Lang Chain or Lang Graph or equivalent.
• Experience designing AI solutions within the Google Cloud Platform ecosystem (Vertex AI, Big Query, 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.

• 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.

• 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!