The Customer Solutions Engineer role at Google focuses on advising customers to design and architect Generative AI-driven solutions using the Google Cloud stack. This position requires a blend of technical expertise in machine learning and strong problem-solving skills. The engineer will work closely with customers to understand their business objectives and develop tailored solutions. Additionally, the role involves mentoring junior team members and collaborating with cross-functional teams to influence platform direction.

• Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field and 3 years of experience in a related occupation.
• Alternatively, a Master’s degree in a relevant field and 1 year of experience in the job offered or a related occupation.
• 1 year of experience in applied machine learning techniques using VertexAI.
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.
• Experience in training and fine-tuning large scale models with accelerators including VertexAI.

• Advise customers on their business objectives to design and architect comprehensive Generative AI-driven solutions.
• Demonstrate Google Cloud's value by developing application prototypes and troubleshooting complex technical issues.
• Engineer end-to-end solutions by scoping requirements and writing production-quality code.
• Create reusable technical assets to accelerate adoption for both customers and internal teams.
• Collaborate cross-functionally with product and strategy teams to influence platform direction.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.