GCP, AI/ML Solutions Architect (Pre-sales)

My client is leading cloud-native consultancy, with a proven track record of delivering innovative solutions to enterprise clients in various industries. They are currently seeking a GCP, AI/ML Solution Architect (Pre-Sales) to join their growing team. You will play a key role in driving revenue and market share for Google Cloud Platform (GCP) services.

As a GCP, AI/ML Solution Architect (Pre-Sales), you will be responsible for:

• Engaging with prospective customers to understand their business and technical requirements and provide solutions that meet their needs
• Developing and delivering high-quality presentations and demonstrations that showcase the benefits of GCP services and AI/ML solutions
• Collaborating with cross-functional teams to develop and execute sales strategies that meet customer needs and achieve business goals
• Building and maintaining strong relationships with key stakeholders and decision-makers at target accounts
• Keeping abreast of industry trends and emerging technologies, and ensuring the delivery of high-quality services
  
  

The ideal candidate will have:

• Strong experience in pre-sales and solution architecture for GCP services and AI/ML solutions
• Excellent technical knowledge of cloud-native technology and its applications, with a focus on GCP and AI/ML
• Strong communication, presentation, and interpersonal skills, with the ability to engage with customers at all levels
• Ability to work effectively in a fast-paced, dynamic environment and lead cross-functional teams
• Bachelor's degree in computer science, engineering, or a related field
  
  

This is a unique opportunity to join a growing and dynamic company, where you can make a real impact and grow your career. If you are passionate about cloud-native technology and have a proven track record of success in pre-sales and solution architecture, the please APPLY within.

On offer is a competitive salary and benefits package, as well as opportunities for professional growth and development. Remote based with occasional travel.