Field Solutions Architect II, Generative AI, Public Sector

Minimum qualifications:

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

Preferred qualifications:

• Master's degree in Computer Science, Engineering, or a related technical field.
• Experience with distributed training and optimizing performance versus costs.
• Experience with Continuous Integration/Continuous Deployment solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) (e.g., using Terraform).
• Experience designing and deploying with one or more ML frameworks (e.g., TensorFlow, PyTorch, JAX, Spark ML, etc.)
• Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
• Experience in systems design, with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.

About the job

In this role, you will construct prototype Generative AI applications tailored to Google Cloud customers, catering to diverse clients ranging from early stage startups to corporations. You will leverage Generative AI technologies to develop solutions and validate their efficacy. You will showcase the latest Generative AI capabilities through direct collaboration with customers. You will 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 Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

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 .

Responsibilities

• Be a trusted advisor to our customers by understanding the customer's business process and objectives. Design Generative AI-motivated solutions, spanning AI, Data, and Infrastructure, and work with peers to include the full cloud stack into 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 (e.g., scripts, templates, reference architectures) to enable customers and internal teams.
• Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and Artificial Intelligence/Machine Learning (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.