What are the responsibilities and job description for the Field Solutions Architect IV, Generative AI, Google Cloud position at Jobright.ai?
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Job Summary:
Google is a leading technology company, and they are seeking a Field Solutions Architect IV to support their Google Cloud business organization. This role involves constructing rapid prototype Generative AI applications for a diverse clientele and collaborating closely with customers to showcase and validate innovative solutions on the Google Cloud platform.
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.
Qualifications:
Required:
• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 10 years of experience in a statistical programming language (e.g., Python).
• Experience in Artificial Intelligence applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition), applied machine learning techniques, or using OSS frameworks (e.g., TensorFlow, PyTorch).
• Experience delivering technical presentations and leading business value sessions.
Preferred:
• Master's degree in Computer Science, Engineering, or a related technical field.
• 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.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, California, USA, with a team of 10001 employees. The company is currently Public Company. Google has a track record of offering H1B sponsorships.
