Data Analytics and AI Solutions Architect

4 days ago

Melbourne, Victoria, Australia Google Full time
About the Role

We are seeking a highly skilled Data Analytics and AI Solutions Architect to join our team. As a key member of our Google Cloud Platform team, you will play a crucial role in helping customers transform their businesses using technology built in the cloud.

As a subject matter expert in Data and Artificial Intelligence and Machine Learning (AI/ML), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will 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.

Responsibilities
  • Work with the team to identify and qualify business opportunities, understanding key customer technical objections, and develop the strategy to resolve technical blockers.
  • Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
  • Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
  • Prepare and deliver business messages in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and Request for Information (RIF) responses.
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.
  • Experience working with, and presenting to, technical stakeholders and executive leaders.

**Estimated Salary: $170,000 - $250,000 per year**

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