Google · 10 hours ago
Field Solutions Architect II, Google Cloud, Generative AI
Google is a leading technology company, and they are seeking a Field Solutions Architect II to join their Google Cloud AI Go-To-Market organization. This role focuses on developing Generative AI applications for a diverse clientele, ensuring integration of AI solutions within the Google Cloud framework.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design and build Generative AI-driven solutions, spanning AI, Data, and Infrastructure, and work with peers to include the full cloud stack into overall architecture
Build production-grade prototypes that deliver measurable outcomes
Gather real-time feedback and insights. Formalize and abstract field-tested solutions into reusable modules or new core product features to drive product innovation. Establish the technical and business case as needed to support your recommendations
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
Qualification
Required
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
6 years of experience in Python and relevant machine learning packages (e.g., Keras, PyTorch, HF Transformers)
Experience in applied AI, with a focus on designing and evaluating systems around foundation models. This includes prompt engineering, fine-tuning, Retrieval Augmented Generation (RAG), and orchestrating model interactions with external tools to deliver complete solutions
Experience architecting, deploying, or managing solutions on a Cloud Platform (e.g., Google Cloud Platform (GCP))
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 in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches
Ability to focus on solving customer problems
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Recent News
The Indian Express
2025-10-08
2025-10-04
2025-10-04
Company data provided by crunchbase