GCP AI Solutions Architect / Senior AI Engineer

We are looking for an experienced AI Solutions Architect to design and implement cutting-edge AI architectures using Google Cloud Platform (GCP). In this role, you will build large-scale data pipelines, orchestrate conversational AI workflows using LangChain, and establish MLOps best practices to drive enterprise-grade AI adoption. Key Responsibilities AI Architecture: Design and implement scalable AI solution architectures using Vertex AI and Google ADK. Generative AI & LLMs: Create and orchestrate AI workflows using LangChain for conversational and agentic applications. RAG & Search: Implement semantic search and Retrieval-Augmented Generation (RAG) solutions using Google Vector Database. Data Engineering: Develop large-scale data processing pipelines with Dataproc and BigQuery. MLOps & Governance: Establish MLOps best practices, manage model artifacts via Artifact Registry, and ensure model governance. Integration: Integrate AI solutions with Google AI Workspace for enterprise applications. Prototyping: Develop prototypes and experiments in Jupyter Notebooks to validate concepts. Requirements Language: Strong proficiency in Python for developing AI solutions. Cloud Platform: Advanced knowledge of Vertex AI and Google Cloud Platform (GCP) ecosystem. GenAI Frameworks: Hands-on experience with LangChain for building LLM-based applications. Data Skills: Proficiency in BigQuery for data analysis and processing. Vector Search: Knowledge of Vector Databases and embedding techniques for RAG implementations. Prototyping: Familiarity with Jupyter Notebooks for experimentation. Culture & Benefits Equality & Inclusion: We foster a culture of equality and do not tolerate any form of discrimination. Diverse Hiring: We encourage applicants of all genders, ages, races, and religions to be part of our hiring process.