About the job
Join Us in Shaping the Future of AI & Data
At Datatonic, recognized as Google Cloud's premier partner in cloud and AI, we are at the forefront of driving transformative solutions for leading businesses. Our expertise lies in machine learning, data engineering, and analytics on the Google Cloud Platform. By collaborating with us, clients can future-proof their operations, unlock actionable insights, and maintain a competitive edge in a rapidly changing landscape.
Your Role
As an AI Architect specializing in Cloud GCP, you will play a pivotal role in defining the architecture for significant projects. You will engage with customers and prospects, offering pre and post-sales architectural guidance and thought leadership in machine learning, analytics, and data migration initiatives. Additionally, you will contribute to developing the architectural framework for our next-generation machine learning products.
This position is ideal for an experienced professional in cloud technologies who wants to collaborate with a team of experts in AI and data, serving as a subject matter expert in solution architecture. The role is client-facing, involving close collaboration with business and technical stakeholders, requiring a technical background and the ability to present complex concepts in an accessible manner.
Successful candidates will possess several years of experience with cloud platforms, ideally with Google Cloud. You should have a proven track record in designing and migrating applications to cloud environments, handling complex cloud deployments, and executing the design and implementation of sophisticated platforms.
Key Responsibilities
Cutting-edge Technology Development: Utilize advanced, scalable cloud and data processing technologies to create innovative solutions for customers.
Project Oversight: Lead the design and execution of enterprise-level Data and AI projects.
Technical Innovation: Propose and implement innovative strategies to enhance Datatonic’s capabilities and methodologies.
Team Development: Develop the architecture team and mentor members while fostering a culture of technical excellence.
Sales Collaboration: Work alongside sales teams to provide technical expertise during client interactions and assist in scoping solutions for complex challenges.

