Join Google Cloud's Professional Services team as a Cloud AI Engineer and guide customers through transformative cloud journeys. You will architect and implement cutting-edge machine learning solutions for diverse customer use cases, utilizing Google's advanced AI products. This role offers the opportunity to shape the future of businesses by leveraging Google's global network and infrastructure.

As a key member of the Google Cloud Consulting team, you'll collaborate with customers to identify and deploy AI-driven opportunities, enhancing their business operations. You'll also work hand-in-hand with Product Management and Product Engineering to continuously refine and advance Google's AI offerings.

Design and deploy sophisticated machine learning solutions for customer business challenges, utilizing core Google AI products like TensorFlow, DataFlow, and Vertex AI. Provide expert advisory on architectural frameworks and operational best practices for comprehensive agentic platforms, covering deployment, monitoring, and governance.

Lead impactful artificial intelligence initiatives by identifying agentic workflows and architecting robust solutions. Deliver effective big data and machine learning solutions, alongside providing expert guidance on architectural data strategies for optimized AI model utilization. Contribute to the product roadmap by identifying new features and product gaps, and sharing best practices through presentations and articles.

A Bachelor's degree in Computer Science or equivalent practical experience is required. Candidates should possess a proven track record in architecting and deploying enterprise-grade cloud data platforms, including both streaming and batch processing workflows. Proficiency in software development using Python, Scala, R, or similar languages is essential.

Experience with Gemini models, ADK, Gemini Enterprise, and other Google AI products is a must. Preferred qualifications include 5 years of experience with recommendation engines, data pipelines, or distributed machine learning, alongside expertise in data analytics, visualization techniques, and deep learning frameworks.