Field Solutions Architect, Generative Ai
4 days ago
**Minimum qualifications**:
- Bachelor’s degree in a technical field, or equivalent practical experience.
- 3 years of experience in Artificial Intelligence, Stakeholder Management, Professional Services, Solution Engineering, or Technical Consulting.
- 1 year of experience in technical troubleshooting and writing code in one or more programming languages.
**Preferred qualifications**:
- Master's degree in Computer Science, Engineering, or a related technical field.
- Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
- Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
- Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
- Experience with distributed training and optimizing performance versus costs.
- Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g. Terraform).
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 our customers by understanding the customer’s business process and goals. Design Generative AI-driven solutions, spanning AI, data, and infrastructure, and work with peers to include the full cloud stack into overall architecture.
- Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable 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. 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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