Loading
G
Senior AI Solutions Engineer, GenAI Applications, Global Consulting
GoogleSan Jose, CA, USASenior5+ years
Apply Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience troubleshooting technical issues for internal/external partners or customers.
- Experience in either system design or reading code (e.g., Java, C++, Python).
Preferred qualifications:
- 8 years of experience writing and maintaining ETL pipelines operating on a variety of structured and unstructured data sources.
- Experience applying Generative AI technologies to enterprise-scale products and solutions, within a quantitative domain (e.g., Google Agent Development Kit (ADK), Lang-Chain, RAG, etc.).
- Understanding of ML Operations/LLM Operations practices for productionizing AI agents and models, and knowledge of cloud-native platforms (e.g., Google Cloud/GCP).
- Ability to break down ambiguous problems and propose solutions through data modeling and system design.
- Excellent communication skills to communicate technical concepts to non-technical stakeholders.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
As an AI Solutions Engineer with a passion for Generative AI, you will contribute to the development and operationalization of our Generative AI solution, and this full-stack solution will be built directly upon Google Play Partnerships' critical data assets and integrated into our core business consultation workflows. You will have an opportunity to work closely with mobile games and apps developers, translating data into innovative AI-driven products that directly enable the growth of their businesses.
Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
Responsibilities
- Design, build and maintain secure data pipelines Extract, Transform, Load (ETL) required for GenAI and ML models, integrate and prepare various datasets for model training and serving.
- Implement components of full-stack Generative AI applications, focusing on data-centric techniques such as RAG and fine-tuning.
- Develop and maintain Large Language Models (LLM)-based agents, including configuring RAG workflows and utilizing advanced prompt engineering techniques like Multi-hop Chain of Thought Prompting (MCP).
- Adhere to MLOps standard procedures for deploying, monitoring, and maintaining Generative AI models and data systems in production environments, ensuring performance and reliability.
- Collaborate with data scientists, consultants, and business stakeholders to implement production-ready solutions.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.