Field Solutions Developer IV, Generative AI, Google Cloud

$221,000 - $314,000/Yr

Google - San Francisco, CA

Full-time - Senior

San Francisco, CA

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About the position

As a Generative AI Field Solutions Developer at Google Cloud, you will play a pivotal role in supporting the sales organization by constructing rapid prototype Generative AI applications tailored to a diverse range of customers, from startups to established enterprises. This position involves leveraging cutting-edge Generative AI technologies to develop innovative solutions, collaborating directly with customers to showcase capabilities, and working with the Product team to shape future offerings. Your expertise will help materialize functional solutions on the Google Cloud platform, driving digital transformation for organizations worldwide.

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 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.

Requirements

• Bachelor's degree in Science, Technology, Math, Engineering, or equivalent practical experience.
• 10 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.

Nice-to-haves

• Master's degree in Computer Science, Engineering, or a related technical field.
• 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 designing and deploying with one or more of 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 in systems design, with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.

Benefits

• Base salary range of $221,000-$314,000 + bonus + equity + benefits.
• Opportunities for professional development and learning.
• Health insurance coverage.
• 401(k) retirement savings plan.
• Paid holidays and vacation time.