Field Solutions Architect II, Generative AI, GoogleCloud Apply info outline info outline X Info Please submit yourresume in English – we can only consider applications submitted inthis language.
For Mexico, only applications of candidates withMexican citizenship will be evaluated for this role in compliancewith the provisions of Article 7 of the Federal Labor Law.
Note : Byapplying to this position you will have an opportunity to shareyour preferred working location from the following : Bogotá, Bogota,Colombia;
Mexico City, CDMX, Mexico. Please submit your resume inEnglish – we can only consider applications submitted in thislanguage.
For Mexico, only applications of candidates with Mexicancitizenship will be evaluated for this role in compliance with theprovisions of Article 7 of the Federal Labor Law.
Note : By applyingto this position you will have an opportunity to share yourpreferred working location from the following : Bogotá, Bogota,Colombia;
Mexico City, CDMX, Mexico. – Bachelor’s degree in STEM orequivalent practical experience. – 5 years of experience inArtificial Intelligence applications (i.
e., deep learning, naturallanguage processing, computer vision, or pattern recognition). -Experience delivering technical presentations and leading businessvalue sessions.
Experience working with programming language(e.g. Python), applied machine learning techniques, and using OSSframeworks (e.
g., TensorFlow, PyTorch). – Ability to communicate inEnglish and Portuguese fluently. Preferred qualifications : -Master’s degree in Computer Science, Engineering, or a relatedtechnical field.
g. using terraform). – Experience in systems designwith the ability to architect and explain data pipelines, MLpipelines, and ML training and serving approaches.
About the job Asan Field Solutions Architect, you will support Google Cloud salesand engineering teams to incubate, pilot, and deploy Google Cloud’sindustry leading AI / ML and Generative AI technology with AInatives, large enterprises, and early-stage AI startups.
You willhelp customers innovate faster with solutions using Google Cloud’sflexible and open infrastructure including AI Accelerators(TPU / GPU).
In this role, you will identify, assess, and developGenerative AI and AI / ML applications by applying key industrytools, techniques, and methodologies to solve problems.
You willhelp customers leverage accelerators within their overall cloudstrategy by helping run benchmarks for existing models, findingopportunities to use accelerators for new models, developingmigration paths, and helping to analyze cost to performance.
Alongthe way, you will work closely with internal Cloud AI teams toremove roadblocks and shape the future of our offerings.
GoogleCloud accelerates organizations’ ability to digitally transformtheir business with the best infrastructure, platform, industrysolutions and expertise.
We deliver enterprise-grade solutions thatleverage Google’s cutting-edge technology all on the cleanestcloud in the industry.
Customers in more than 200 countries andterritories turn to Google Cloud as their trusted partner to enablegrowth and solve their most critical business problems.
Responsibilities – Be a trusted advisor to our customers byunderstanding the customer’s business process and objectives.Architect AI-drive spanning Data, AI and Infrastructure, and workwith peers to include the full cloud stack into overallarchitecture.
Demonstrate how Google Cloud is differentiated byworking with customers, demonstrating features, tuning models,optimizing model performance, profiling, and benchmarking.
Troubleshoot and find solutions to issues training / serving modelsin a large-scale environment. – Build repeatable technical assets(e.
g., scripts, templates, reference architectures, etc.) to enableother customers and internal teams. Work cross-functionally toinfluence Google Cloud strategy and product direction at theintersection of infrastructure and AI / ML, by advocating forenterprise customer requirements.
Coordinate regional fieldenablement with leadership and work closely with product andpartner organizations on external enablement activities.
Google isproud to be an equal opportunity and affirmative action employer.We are committed to building a workforce that is representative ofthe users we serve, creating a culture of belonging, and providingan equal employment opportunity regardless of race, creed, color,religion, gender, sexual orientation, gender identity / expression,national origin, disability, age, genetic information, veteranstatus, marital status, pregnancy or related condition (includingbreastfeeding), expecting or parents-to-be, criminal historiesconsistent with legal requirements, or any other basis protected bylaw.
See also Google’s EEO Policy , Know your rights : workplacediscrimination is illegal , Belonging at Google , and How we hire .
Google is a global company and, in order to facilitate efficientcollaboration and communication globally, English proficiency is arequirement for all roles unless stated otherwise in the jobposting.
To all recruitment agencies : Google does not accept agencyresumes. Please do not forward resumes to our jobs alias, Googleemployees, or any other organization location.
Google is notresponsible for any fees related to unsolicited resumes.#J-18808-Ljbffr
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