Value Solutions, GenAI Engineer, Google Cloud

Job description

Value Solutions, GenAI Engineer, Google Cloud

_corporate_fare_ Google _place_ Austin, TX, USA; Atlanta, GA, USA; +3 more; +2 more

**Mid**

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

_info_outline_

XThe application window will be open until at least October 5, 2025.

This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA** .

**Minimum qualifications:**

+ Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
+ 6 years of experience in a statistical programming language or web based technology (e.g., Python, SQL, JavaScript, or CSS/HTML).
+ Experience in Artificial Intelligence applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition), applied machine learning techniques, or using OSS frameworks (e.g., TensorFlow, PyTorch).
+ Experience with data warehouses such as BigQuery.
+ Experience delivering technical presentations and managing business value sessions.

**Preferred qualifications:**

+ Master's degree in Computer Science, Engineering, or a related technical field.
+ 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 architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
+ Experience in broad base Cloud technology from infrastructure, AI, data, API, security and collaboration technologies.
+ Experience with distributed training and optimizing performance against costs.
+ Excellent communication and presentation skills for performing product demos and technology overviews.

**About the job**

As a Global Value Solutions Engineer, you will play a pivotal role in supporting the Google Cloud sales organization.

Your primary responsibility will be to construct prototype and production level Generative AI applications tailored to Google Cloud sales teams.

You will leverage the latest Generative AI technologies to develop innovative tooling to enable a value centric business cycle, and validate their efficacy.

You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with sales teams and GTM specialists in Google Cloud.

You will be instrumental in materializing functional solutions on the Google Cloud platform.

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**

+ Design and implement Generative AI-driven solutions, spanning AI, data, and infrastructure, and work with peers to enable our Global Sales teams to build self-service business cases and value content.
+ Leverage Google Cloud and Google’s Generative AI tools to automate content creation and data analysis, pioneering new methods for delivering value insights at scale.
+ Implement web based AI first applications, AI agents, prompting and tuning models, optimizing model performance, profiling, and benchmarking, and troubleshoot and find solutions to issues in Generative AI applications.
+ Work in cross-functional sprints from initial research, technical spikes, prototyping, design and implementation to continuous improvement post production.
+ Coordinate and collaborate with other engineers and product managers in partner organizations on large applications and integration.

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/OFCCP_EEO_Post.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.

Required Skill Profession

Other General