Field Solutions Developer IV, Generative AI, Google Cloud

$221,000 - $314,000/Yr

Google - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

5,001-10,000 employees

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About the position

As a Generative AI Field Solutions Developer at Google Cloud, you will support the sales organization by constructing rapid prototype Generative AI applications tailored to a diverse range of customers, from startups to large enterprises. This role involves leveraging cutting-edge Generative AI technologies to develop innovative solutions, showcasing capabilities through direct customer collaboration, and working closely with the Product team to shape future offerings.

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.
• Access to cutting-edge technology and tools for sustainable development.