AI Incubation Lead, VertexAI, Core, Global Services Delivery
corporatefare_ Google place Austin, TX, USA; New York, NY, USA; +4 more; +3 more
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; Washington D.C., DC, USA .
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience supporting customers across industries and business functions, leading programs in enterprise implementations including technical support, escalation management, consulting, and issue resolution.
Experience in one or more disciplines: vLLM, Slurm, Pallas, JAX, machine learning, recommendation systems, natural language processing, computer vision , pattern recognition, or artificial intelligence.
Experience managing, scaling, and delivering projects with tight deadlines as well as a technical team.
Preferred qualifications:
Certification in cloud, such as the Google Cloud Platform (GCP) Machine Learning Engineer.
Experience in AI operations, including implementing, migrating, and supporting live AI environments on a public cloud.
Experience in a statistical programming language like R or Python and with applied machine learning techniques.
Ability to architect and explain ML Operations platforms and translate business problems into viable AI projects.
Excellent communication, writing, presentation, and problem-solving skills.
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
In this role, you will help bring to the market the Vertex AI Core strategy globally as well as organize and lead a cross-functional focused team of experts delivering early stage pilots which address business needs leveraging Google Cloud's platform. You will work closely with internal Google Cloud AI teams (e.g., product, engineering, business, professional services, learning, etc.) and our external customers to define, align, and execute specialized pilots aiming to both help guide our product strategy as well as transform customers via implementation of Vertex AI core products from design to deployment and optimization. You will develop technical leadership and collaborative technical teams working together to solve customer business problems and will navigate ambiguity, have experience working with AI/ML on cloud technologies, have technical depth and work with a set of client and internal stakeholders. You will have excellent communication and stakeholder management skills and will be highly motivated, comfortable in a fast-changing atmosphere, have a strong desire to learn, and love working with Google products.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. 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 $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 aboutbenefits at Google (https://careers.google.com/benefits/) .
Responsibilities
Implement, migrate, and support live AI environments on a public cloud, ensuring adherence to core production strategies.
Deploy and manage machine learning frameworks such as Slurm, Ray.io, Kubeflow, or MLFlow.
Design and architect machine learning (ML) Operations platforms and clearly articulate their functionality to stakeholders.
Translate complex business problems into viable AI projects and establish metrics to measure their return on investment (ROI).
Collaborate effectively with cross-functional teams and stakeholders using communication, presentation, and problem-solving skills.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\KnowYourRights\10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
