Cloud Solutions Architect for Data Analytics and AI

4 days ago


Melbourne, Victoria, Australia Google Full time

Unlock business potential with Google Cloud's innovative technology.

About the Role

We're seeking a skilled Cloud Solutions Architect to join our team in Data Analytics and Artificial Intelligence. As a key member of our entrepreneurial team, you'll play a vital role in understanding customer needs and helping shape the future of businesses using technology to connect with customers, employees, and partners.

Your Key Responsibilities

  • Partner with technical Sales teams as a subject matter expert in Data, AI, and Machine Learning (AI/ML) to differentiate Google Cloud to our customers.
  • Help prospective and existing customers and partners understand Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks.
  • Use your expertise and presentation skills to engage with customers in understanding the business and technical requirements, and present practical and useful solutions on Google Cloud.

What We Offer

  • A competitive salary range of $160,000 - $250,000 per year, depending on experience.
  • The opportunity to work with cutting-edge technology and tools that help developers build more sustainably.
  • A dynamic and supportive team environment that encourages innovation and growth.
  • Ongoing training and development opportunities to enhance your skills and knowledge.

Requirements

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with 'Big Data' technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, and other data concepts.
  • Experience with Machine Learning model development and deployment frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.

About Us

Google Cloud helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology and tools that help developers build more sustainably.



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