9 hours ago
Mumbai, India +2 moreSenior
Responsibilities
- Own technical relationships with partners through pilots, proofs of concept, customer acceptance, agreements, and migration phases.
- Build advisory relationships and recommend integration strategies, enterprise architectures, platforms, and application infrastructure.
- Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform.
- Translate customer requirements into AI roadmaps and architectures for fine-tuning, Retrieval-Augmented Generation, and custom model development.
- Establish best practices for AI-driven solutions and contribute to thought leadership through publications, presentations, and community engagement.
- Mentor team members and contribute to the strategic direction of solution-building efforts.
Requirements
- Bachelor's degree or equivalent practical experience.
- Six years of experience in cloud computing focused on machine learning architecture, software development, and model deployment in a customer-facing or consulting role.
- Experience presenting to technical stakeholders and executive leaders.
- Experience with programming or scripting languages such as Python.
- Experience developing and deploying data solutions.
- Preferred experience with scalable distributed systems, model evaluation frameworks, prompt engineering, third-party foundation models, and AI ethics, model bias, and return on investment discussions.
Tech Stack
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.