Cloud AI Developer, Google Cloud Consulting, PSO

Google Cloud Consulting Professional Services is seeking a Cloud AI Developer to join their team in designing and implementing machine learning solutions for enterprise customers. This role combines technical expertise in ML with customer-facing responsibilities, making it ideal for experienced engineers who want to impact businesses directly.

The position offers a competitive base salary range of $147,000-$216,000 plus bonus, equity, and comprehensive benefits. Located across major tech hubs including Austin, Toronto, Atlanta, Boulder, and Chicago, this role requires 6+ years of experience building ML solutions and working with technical customers.

As a Cloud AI Developer, you'll work with Google's largest cloud customers, leveraging products like DataFlow and Vertex AI. Your responsibilities include designing ML solutions, conducting workshops, and serving as a trusted technical advisor. You'll need strong coding skills in languages like Python, Java, or Go, plus deep knowledge of ML systems including feature extraction, data validation, and model management.

The role involves about 30% travel for customer meetings and onsite delivery. You'll collaborate with Product Management and Engineering teams to drive product excellence while helping customers implement Google Cloud solutions through architecture guidance, best practices, and technical support.

Key technical areas include recommendation engines, data pipelines, distributed ML systems, and data warehousing concepts. Experience with deep learning frameworks like XGBoost is preferred. This position offers the opportunity to shape the future of businesses through Google's global network and cutting-edge infrastructure.

The successful candidate will combine technical depth in ML/AI with strong communication skills to educate and empower customers. You'll be part of Google Cloud's mission to accelerate digital transformation across industries while working with cutting-edge technology and tools.

This is an excellent opportunity for experienced ML engineers who want to work with enterprise-scale systems while having direct business impact through customer interaction. The role offers professional growth at the intersection of machine learning, cloud computing, and business transformation.