Google · 1 day ago
Technical Solutions Engineer, Cloud AI, Google Cloud
Google is a leading technology company, and they are seeking a Technical Solutions Engineer for their Cloud AI team. The role involves troubleshooting technical problems for customers, managing customer issues, and improving Google Cloud products based on customer feedback.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Work with customers on their ML deployments to resolve issues and achieve production readiness, availability, and scale. Partner with product and engineering teams to improve products based on customer feedback
Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products
Develop an in-depth understanding of Google Cloud’s AI/ML products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues and building tools for faster diagnosis
Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud
Work as part of a team of engineers/consultants that ensure 24 hour customer support, including working non-standard work hours/shifts and possibly including weekends
Qualification
Required
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
9 years of experience with two or more of the following: Web Tech, Data/Big data, Systems Admin, Machine Learning, Networking, Kubernetes
Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C, or C++) including data structures and algorithms, and software design
Experience with AI model training, performance analysis, and integration with other cloud services supporting customer projects to completion
Experience in computer networking (e.g., firewalls, routing, load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.), and AI concepts and techniques
Preferred
9 years of experience in recommendation systems, natural language processing, speech recognition, or computer vision
Experience troubleshooting ML models (e.g., Tensorflow, Keras, PyTorch)
Experience working with public cloud services and infrastructure, AI architecture, and networking/peering with private cloud
Knowledge of data warehousing concepts, data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, etc.)
Ability to recommend ML best practices for practical business use
Ability to lead the design and implementation of AI-based solutions, web services, debugging tools with effective leadership and influencing skills in AI/ML application
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
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2025-10-04
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