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 Senior Technical Solutions Consultant, you will lead the end-to-end architecture and implementation of a Digital Twin ecosystem for Google’s consumer hardware product design and manufacturing. You will play a pivotal role in balancing first-party, full-stack GCP cloud-native development with the strategic integration of Vertex AI/Gemini Enterprise, pioneering autonomous agents that drive agentic insights and action automations. In this role, you will also promote best practices and internal business processes. You will be responsive and able to adapt quickly to succeed within an open collaborative peer environment. You will work in a data driven environment, have a desire to drive change, and are excited by the opportunity to analyze systematic issues and implement solutions to challenging problems.Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $222000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Architect and develop first-party, cloud-native applications on Google Cloud, ensuring full-stack performance while adhering to corporate security and Artificial Intelligence (AI) governance standards.
- Engineer microservices and event-driven frameworks that deliver autonomous agents that transform static hardware data into agentic insights and action automations.
- Deploy, monitor, and debug Google Cloud-hosted solutions, maintaining operations for both the core application layer and the underlying Gemini-powered AI agents on Gemini Enterprise.
- Author technical blueprints and lead code reviews that emphasize both full-stack code (Java/Python/Angular) and best practices for prompt engineering and agentic orchestration.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with full-stack development using Java, Python, or Angular.
- Experience architecting artificial intelligence (AI) and full-stack applications integrated with first and third-party services.
- Experience automating infrastructure provisioning, DevOps, or continuous integration/delivery.
Preferred qualifications:
- Experience architecting autonomous agents and agentic workflows using Gemini Enterprise, including RAG frameworks and tool-calling architectures.
- Experience building and scaling cloud-native applications on Google Cloud Platform (GCP).
- Experience navigating environments to resolve inefficiencies through AI-driven action automations.
- Experience bridging enterprise ecosystems, such as Siemens Teamcenter, with AI layers to develop digital twins.
- Experience designing microservices and event-driven frameworks for manufacturing operations.