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Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 8 years of experience in Python or other programming languages in machine learning (e.g., Java, C++, Go).
• Experience with python and Machine Learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with Generative AI as a developer.
• Experience delivering technical presentations.
• Ability to communicate in English and Japanese fluently to interact with internal and external stakeholders.

Preferred qualifications:

• Google Cloud Platform (GCP) Professional and certified Machine Learning Engineer.
• Experience architecting Machine Learning Operations (e.g., MLOps) systems in enterprise environments and in building enterprise-grade machine learning systems.
• Experience working with batch and online model serving with an understanding of model management and monitoring.
• Knowledge of vertex AI model deployment, and vertex pipelines, kubeflow, or MLFlow for automation and experimentation.
• Knowledge of GCP services and how to use them for analytics and data engineering, including BigQuery and Vertex AI.
• Excellent infrastructure building and maintenance skills on the GCP for data engineering pipelines.

About the job
As an AI/ML Field Solutions Architect, you will support Google Cloud Sales teams and engineering to deploy Google Cloud's Artificial Intelligence/Machine Learning (AI/ML) and Generative Artificial Intelligence (Gen AI) technology at AI natives and innovators, enterprises, and AI startups. You will help customers innovate with the solutions using Google Cloud's flexible and open infrastructure including AI Accelerators Tensor Processing Unit/Graphics Processing Unit (TPU/GPU).

In this role, you will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud road-maps by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. Along the way, you will work with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. You will navigate ambiguity, troubleshoot and find solutions, and learn in the technology space.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Lead the Japan-based Field Solutions Architect (FSA) team as their team lead.
• Serve as a consultant for clients by grasping their operational needs and goals. Design AI-focused architectures that encompass data, infrastructure, and AI, collaborating with teammates to integrate the complete cloud stack.
• Emphasize the advantages of Google Cloud through proof-of-concept projects, feature displays, model tuning, and performance optimization. Resolve issues related to model training and serving.
• Develop reusable technical resources such as reference architectures and templates to assist internal teams and other clients. Influence the evolution of Google Cloud products by advocating enterprise needs at the crossroads of AI/ML and infrastructure.
• Oversee regional field readiness in partnership with leadership and collaborate with product and partner teams on external training initiatives.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .