Solutions Acceleration Architect, Google Cloud
Google · Posted Oct 6
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The APAC Google Forge Team partners with customers to understand their challenges and ideas, then designs and builds practical working solutions using data, analytics, AI, and software engineering. The team works across Google Cloud's enterprise-grade products and tools, demonstrating how these technologies combine to achieve business results for customers in more than 200 countries and territories. In this role, you will lead the design and development of cutting-edge prototypes on Google Cloud Platform, own technical relationships with partners, and mentor team members while contributing to the strategic direction of solution-building efforts.
What you will do
- Own the technical relationship with partners, empowering them to drive a successful pilot or proof-of-concept, support partners in driving customer acceptance of the technical proposal, leading to an agreement, and work with partners during the migration phase to ensure they have all the tools necessary to deliver a successful deployment.
- Build trusted advisory relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution for customers to optimize Google Cloud effectiveness.
- Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP), showcasing the potential of data and AI to address specific business needs.
- Establish and promote innovative best practices and methodologies for AI-driven solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.
Skills used in this role
Preferred qualifications
- Experience translating ambiguous customer requirements into actionable AI roadmaps, defining the technical architecture for fine-tuning, Retrieval-Augmented Generation (RAG), and custom model development.
- Experience in architecting and developing software or infrastructure for scalable, distributed systems.
- Proven track record of managing stakeholder expectations and building consensus around complex AI initiatives, including navigating discussions on AI ethics, model bias, and return on investment (ROI).
- Understanding of the AI/ML landscape, including familiarity with model evaluation frameworks, prompt engineering, and the integration of third-party foundation models.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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