Field Solutions Architect, Duet Ai

**Minimum qualifications**:

- Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
- 3 years of experience in AI/ML, 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**:

- Proficiency in programming languages relevant to Duet, such as Python, Java, Go, Javascript, Typescript or others depending on the technology stack.
- Understanding of critical user journeys for various personas in engineering organizations for several important processes such as style guides, code review, documentation, unit testing, and build deployment and release.
- Working knowledge of APIs and integrating Duet or AI Assistance into existing systems.
- Familiarity with development tools and commonly used IDEs, version control systems, wikis, and build and debugging tools.
- Familiarity with Assistive DevOps practices, continuous integration, and deployment.
- Excellent Python/Javascript skills for automation and quick prototyping.

**About the job**:
As a Field Solutions Architect, you will support Google Cloud Sales and Engineering teams incubate, pilot, and deploy Google Cloud’s AI/ML and GenAI technology at AI native customers and innovators, large enterprises, and early stage AI startups. You will help customers innovate faster with state of the art solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology - all on the cleanest cloud in the industry. 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. Architect AI-drive, spanning data, AI, and infrastructure, and work with peers to include the full cloud stack into overall architecture.
- Demonstrate how Google Cloud is differentiated by working with customers on POCs, demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues with training/serving models in a large scale environment.
- Build repeatable 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 closely 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 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.