Senior Technical Solutions Consultant, Google Cloud (English)

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 a Cloud AI Engineer, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners currently servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise. You will possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies.

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.

Minimum qualifications:

- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.

- Experience in Python and cloud computing principles (serverless, virtualization, secure networking).

- Experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks (LangChain, LlamaIndex, AutoGen).

- Experience in software engineering, cloud architecture, or technical consulting and deploying production Generative AI (GenAI) applications.

- Ability to communicate in English fluently to communicate with global teams.

Preferred qualifications:

- Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

- Relevant Google Cloud certifications, such as Professional Cloud Architect or Professional Machine Learning Engineer.

- Experience deploying enterprise GenAI platforms (Gemini Enterprise), with deep understanding of AI security, governance, and compliance standards.

- Experience leveraging Large Language Model (LLMs) to deploy enterprise-scale multimodal solutions across text, image, video, and audio.

- Experience implementing scalable RAG architectures connected to external productivity tools and enterprise databases.

- Proven track record leading technical project deployments and engineering teams on large cloud transformations.

- Lead the global delivery and implementation of Gemini Enterprise solutions, applying Agent Development Kits (ADKs) to solve highly complex, enterprise-scale technical challenges.

- Serve as the trusted technical advisor to C-suite executives at Google’s most strategic global accounts, shaping their overarching AI strategy and accelerating the adoption of Gemini Enterprise.

- Influence the core product road map by translating complex architectural challenges into actionable requirements for Google's engineering teams.

- Deliver leading practice recommendations and high-stakes technical presentations to executive boards and key business stakeholders to secure massive-scale technical wins.

- Act as a thought leader and mentor across the Google Cloud organization, elevating the technical acumen of engineers and shaping best practices for agentic AI architectures.