Google · 1 day ago
Field Solutions Architect II, Google Cloud, Generative AI
Atlanta, GA, USA
Full-time
Hybrid
Mid, Senior Level
$147K/yr - $216K/yr
6+ years expGoogle is seeking a Field Solutions Architect in their Cloud AI Go-To-Market team to bridge the gap between frontier AI products and real-world business issues. The role involves leading technical delivery of GenAI solutions, building prototypes, and collaborating with internal teams to foster customer-centric innovation.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Be a trusted advisor to customers by understanding their business process and objectives. Design and build GenAI-driven solutions spanning AI, Data, and Infrastructure. Work with peers to include the full cloud stack into overall architecture
Build production-grade prototypes that deliver measurable outcomes (e.g., write custom code, integrate disparate data sources, design data ontologies, deploy solutions on customer infrastructure)
Represent the customer, gathering real-time feedback and insights. Formalize and abstract field-tested solutions into reusable modules or new product features to drive product innovation. Establish technical and business cases to support recommendations
Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for 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 a related technical field 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 systems around foundation models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools to deliver solutions)
Experience architecting, deploying, or managing solutions on a cloud platform
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 apply a founder-level engineering mentality to prioritize rapid action and resolve customer issues
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.
10001+ employees
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
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
The Indian Express
2025-10-08
2025-10-04
2025-10-04
Company data provided by crunchbase