Field Solutions Architect III, Generative AI, Google Cloud

Key Skills

Agile methodologies, AI technology, Applied Machine Learning, Automation, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, CUDA/GPU programming, Data pipelines, Data science techniques, Deep Learning, Design, Distributed systems, Edge AI, Framework, Generative AI, Google Cloud Platform (GCP), HTTP acceleration, Image processing, JAX framework, Language Recognition, Large Language Models - LLMs, Large scale Network analysis, Machine learning techniques, Mathematics, MLOps tools, Natural Language Processing (NLP), Optimization, Presentation skills, Python Programming, PyTorch, Recommendation Systems, Software Development, SparkML, Statistical modeling, TensorFlow, Terraform

Job Description

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
• 7 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 design and explain data pipelines, ML pipelines, and ML training and serving approaches.

About the job

As a Generative AI Field Solutions Architect, you will support Google Cloud sales and software development teams to incubate, pilot, and deploy Google Cloud’s industry leading AI/ML and Generative AI technology with AI natives, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators (TPU/GPU).

In this role, you will identify, assess and develop Generative AI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work closely with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. You will navigate ambiguity, troubleshoot and find solutions, and learn quickly in a rapidly changing technology space.

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.

The US base salary range for this full-time position is $167,000-$256,000 + 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 for new hire 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 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 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.