Senior Product Solutions Engineer, GenAI

In this role, you will support the adoption of Google's Generative AI technologies with highly strategic partners across the EMEA and APAC regions. You will be pivotal in providing expert technical guidance and fostering innovation as partners implement AI solutions using Gemma (Gemini Open Models), Gemini ER Models via AI Studio. This will include running simulations, conducting 1:1 partner consultations, and facilitating brainstorming sessions to unlock the potential of our LLM models for business applications.

You will be at the forefront of the Artificial General Intelligence (AGI) revolution, directly enabling businesses worldwide to leverage Google's models, and to significantly advance your career with products and skills.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Provide expert technical guidance on API integration, model customization (where applicable), prompt engineering, and solution architecture for partner projects.

Create simulations for Robotics models in AI Studio as well as showcase capabilities for Robotics using Gemini (ER) Models.

Conduct 1:1 technical consultation and brainstorming sessions with strategic partners to guide them in developing innovative solutions using Google's GenAI Models and Tools.

Develop and share technical resources, sample code, and best practice documentation to accelerate partner adoption and success.

Gather, synthesize, and relay partner feedback, use cases, and technical requirements to internal Google product and engineering teams to influence future development.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.

6 years of experience in computer engineering, software development, or building technical tools, including creating solutions by writing code.

Experience working with systems (e.g., Linux, Unix, Windows).

Experience using machine learning and building AI solutions

Experience with Robotics Engineering.

Preferred qualifications:

Master’s degree in Engineering, Computer Science, Business, or a related field.

Experience in an analytical role such as business intelligence, data analytics, or statistics.

Experience working with database technologies (e.g., SQL, NoSQL).

Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.

Experience with data analysis and problem-solving