For Seoul candidates: Google welcomes people with disabilities.
For Singapore candidates: Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google’s sponsorship of a visa.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seoul, South Korea; Singapore.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Data Science, or equivalent practical experience.
• 5 years of experience as a technical sales engineer in AI/ML, or in a software engineering role.
• Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience delivering technical presentations and leading business value sessions.
• Experience in Generative AI as a developer.
• Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions with the local stakeholders.

PREFERRED QUALIFICATIONS:

• Experience in designing and deploying multi-agent architectures with ADK, and integrating next-gen Generative AI models (Gemini, Imagen, Veo) to build dynamic applications.
• Experience with core search concepts like indexing and query rewriting.
• Understanding in implementation and optimized Retrieval-Augmented Generation (RAG) models using both first-party and open-source models.
• Ability to architect and explain complex data, ML, and training pipelines.
• Ability to travel up to 20% of the time as required.

• Advise the customers by understanding the customer’s business process and objectives. Architect AI-drive, spanning Data, AI, Infrastructure, and work with peers to include the full cloud stack into overall architecture.
• Work with customers, demonstrate features, tune models, optimize model performance, profiling, and bench marking. Troubleshoot and find solutions to issues training/serving models in a large scale environment.
• Build repeatable technical assets such as scripts, templates, reference architectures to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement activities.
  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form