Expert Solution ArchitectJob SummaryWe are seeking a highly skilled AI Architect to lead the hands-on design, development, and implementation of our data and AI platforms on Google Cloud Platform (GCP) and Databricks. This is a practical, hands-on role requiring you to not only architect solutions but also to actively build, test, and deploy them. The ideal candidate will be a thinker with deep, demonstrable technical expertise in building and scaling end-to-end AI solutions, including Conversational AI and Agentic AI systems. You will play a critical, hands-on role in executing our data strategy, driving innovation, and enabling data-driven decision-making across the organization.
ResponsibilitiesArchitecture & Design:- Contribute to the hands-on design of our end-to-end Databricks Lakehouse platform, from data ingestion and processing to consumption and governance.
- Architect and design AI solutions built on Databricks and/or GCP Vertex AI, Gemini, etc.
- Design and prototype advanced AI systems, including conversational AI (chatbots, voice assistants) and autonomous agentic AI frameworks.
- Actively integrate traditional ML and cutting-edge Generative AI models into our data ecosystem using MLflow and other MLOps best practices.
Engineering & Implementation:- Build, test, and deploy conversational AI and agentic AI solutions, leveraging large language models (LLMs) and frameworks like Google's Vertex AI and open-source alternatives within the Databricks Platform.
- Personally build and deploy real-time streaming solutions using Structured Streaming to enable timely insights for AI models.
- Contribute to optimize initiatives of data and AI pipelines for performance, cost, and scalability, ensuring the efficient use of our cloud resources.
Cloud & Platform Expertise:- Hands-on expert on both GCP and Databricks, providing practical guidance on best practices, security, and governance.
- Design and implement solutions that leverage the best of both platforms, including hands-on work with services like Databricks, Google Cloud Storage, BigQuery, and Vertex AI (including the Gemini family of models).
- Take direct responsibility for implementing robust access controls, encryption, and other security measures to ensure the security and compliance of our data platform.
- Continuously monitor, troubleshoot, and optimize our platform for cost and performance.
Must have at least 5+ years of experience within the field Solution and or system architecture.
