Cloud Engineer, AI/ML, Professional Services, Google Cloud

Google Cloud's Professional Services team is seeking a Cloud AI Engineer to help guide customers through their cloud transformation journey. This role combines technical expertise in machine learning with customer-facing responsibilities, making it ideal for those who enjoy both technical challenges and client interaction.

As a Cloud AI Engineer, you'll be at the forefront of implementing cutting-edge machine learning solutions using Google's advanced technologies like TensorFlow, DataFlow, and Vertex AI. You'll work with Google's largest and most ambitious cloud customers, providing architecture guidance, best practices, and technical leadership in machine learning implementations.

The role requires a strong technical foundation with at least 5 years of experience in building machine learning solutions and working with technical customers. You'll need expertise in programming languages like Python, Java, or Go, and a deep understanding of machine learning frameworks and data warehousing concepts. The position offers a competitive compensation package ranging from $142,000 to $211,000, plus bonus, equity, and comprehensive benefits.

What makes this role particularly exciting is the opportunity to work with Google Cloud's cutting-edge technology while helping businesses solve real-world problems. You'll be part of a team that shapes the future of businesses through innovative cloud solutions, working in a collaborative environment that values diversity and inclusion. The role offers a balance of technical depth and business impact, with opportunities to travel (up to 30%) for customer engagement and solution delivery.

The ideal candidate will combine technical expertise with strong communication skills, as you'll be creating best practice recommendations, tutorials, and sample code while coaching customers on practical machine learning challenges. This position offers the unique opportunity to work with Google's advanced technology stack while making a direct impact on customer success in their cloud journey.