Field Solutions Architect, Generative Ai, Google Cloud

3 hours ago


Singapore Google Full time

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
**Minimum qualifications**:

- Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
- 6 years of experience in Artificial Intelligence/Machine Learning (AI/ML) as a technical business engineer or in software engineering.
- Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch).
- Experience in delivering technical presentations and leading detailed business value sessions.
- Experience in developing Generative AI.

**Preferred qualifications**:

- Certification in Google Cloud Platform (GCP) Professional Machine Learning Engineer.
- Experience in architecting Machine Learning Operations (MLOps) systems in enterprise environments with building, scaling, and optimizing Machine Learning systems.
- Experience with batch and online model serving with the knowledge of model management and monitoring.
- Knowledge of Google Cloud Platform (GCP) services and how to use them for problem solving and data engineering, including BigQuery and Vertex AI.
- Knowledge of Vertex AI model deployment with Vertex Pipelines, model deployment, Kubeflow or MLFlow for automation.
- Excellent infrastructure building and maintenance skills for data engineering pipelines.

About the job
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**:

- Be a trusted advisor to customers by understanding the customer’s business objectives. Architect AI-drive, spanning Data, Artificial Intelligence (AI), and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
- Demonstrate how Google Cloud is differentiated, and work with customers on demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues training/serving models.
- Build technical assets such as scripts, templates, reference architectures, etc. to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
- Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement activities.
- Travel as needed.

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 alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.



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