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    Solution Architect - San Francisco, CA, United States - Google Inc.

    Google Inc.
    Google Inc. San Francisco, CA, United States

    Found in: Jooble US O C2 - 2 days ago

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    Full time
    Description
    Field Solutions Architect III, Generative AI, Google Cloud
    corporate_fare Google place San Francisco, CA, USA ; Atlanta, GA, USA ; +12 more
    Apply
    info_outline X Info The application window will be open until at least January 9, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.
    This role may also be located in our Playa Vista, CA campus.


    Note:

    By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Addison, TX, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; Toronto, ON, Canada; Washington D.C., DC, USA; Kirkland, WA, USA; Montreal, QC, Canada.

    The application window will be open until at least January 9, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

    This role may also be located in our Playa Vista, CA campus.


    Note:

    By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Addison, TX, USA; Chicago, IL, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; Toronto, ON, Canada; Washington D.C., DC, USA; Kirkland, WA, USA; Montreal, QC, Canada.

    .
    ~ Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
    ~7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
    ~ Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
    ~ Experience delivering technical presentations and leading business value sessions.


    Preferred qualifications:
    Master's degree in Computer Science, Engineering, or a related technical field.

    Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.

    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 design and explain data pipelines, ML pipelines, and ML training and serving approaches.

    About the job

    As a Generative AI Field Solutions Architect, you will support Google Cloud sales and software development teams to incubate, pilot, and deploy Google Cloud's industry leading AI/ML and Generative AI technology with AI natives, large enterprises, and early-stage AI startups.

    You will help customers innovate faster with solutions using Google Cloud's flexible and open infrastructure including AI Accelerators (TPU/GPU).

    In this role, you will identify, assess and develop Generative AI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems.

    You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance.

    You will work closely with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. You will navigate ambiguity, troubleshoot and find solutions, and learn quickly in a rapidly changing technology space.

    Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise.

    We deliver enterprise-grade solutions that leverage Google's cutting-edge technology – all on the cleanest cloud in the industry.

    Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

    The US base salary range for this full-time position is $167,000-$256,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location.

    The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.

    Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

    Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

    Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

    Learn more about benefits at Google .

    Responsibilities
    Be a trusted advisor to our customers by understanding the customer's business process and objectives.

    Design AI-drive, spanning Data, AI, 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 POCs, demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking.

    Troubleshoot and find solutions to issues training/serving models in a large-scale environment.
    Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable other 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 activities. Travel as needed.
    Google is proud to be an equal opportunity and affirmative action employer.

    We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

    See also Google's EEO Policy , Know your rights:
    workplace discrimination is illegal , Belonging at Google , and How we hire .

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.


    To all recruitment agencies:
    Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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