Field Solutions Developer II, Generative AI, Google Cloud

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
• 5 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition).
  
• Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
  
• Experience delivering technical presentations and leading business value sessions.
  

Preferred qualifications:

• Master's degree in Computer Science, Engineering, or a related technical field.
  
• 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., using terraform).
  
• Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
  

Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.

About the job

As a Field Solutions Developer II for Generative AI, you will support the Google Cloud Sales organization. You will construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to large-scale corporations. You will leverage cutting-edge Generative AI technologies to develop innovative solutions and validate their efficacy. You will swiftly showcase the latest Generative AI capabilities through direct collaboration with customers.

In this role, you will closely collaborate with our Product team to eliminate obstacles and shape the future trajectory of our offerings. In addition, you will disseminate the lessons learned to customers and internal Google teams.

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.

For US Applicants:

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design Generative AI-driven solutions, spanning AI, Data, 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 application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.
  
• 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 closely with product and partner organizations on external enablement. Travel as needed.