Software Engineer, Generative AI Blackbelt, Google Cloud Platform

• Work with the team to identify and qualify business opportunities, understand customer technical issues, and develop the strategy to resolve technical blockers.

• Provide Artificial Intelligence (AI) expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud.

• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.

• Support developers, creators, and enterprises to leverage Google’s generative language Application Programming Interfaces (APIs) to help them build their own AI products in the future.

• Travel to customer sites, conferences, and other related events as needed.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 2 years of experience with software development in Python, or 1 year of experience with an advanced degree in an industry setting.

• Experience with Large Language Models (LLMs), open source, big data, machine learning, and numerical programming frameworks.

• Experience with AI products, technologies, and infrastructure.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.

• Experience with building AI and machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, Load Shedding and Traffic Management (LSTM), etc).

• Experience in architecting and developing software or infrastructure for distributed systems and with machine learning technologies.

• Knowledge of AI Models, Large Language Models, and AI specialized infrastructure related to AI trends and issues within businesses.

• Knowledge of responsible AI practice.

• Ability to work with new technologies, methodologies, and solutions in the Cloud/IT technology environment.