Senior Product Solutions Engineer, GenAI

Salary: £160,000 - 200,000 per year

Requirements:

• Bachelors 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 such as Linux, Unix, or Windows.
• Experience using machine learning and building AI solutions.
• Experience with Robotics Engineering.
• Preferred: Masters degree in Engineering, Computer Science, Business, or a related field.
• Preferred: Experience in an analytical role such as business intelligence, data analytics, or statistics.
• Preferred: Experience working with database technologies such as SQL or NoSQL.
• Preferred: Experience with cloud technologies, including architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
• Preferred: Experience with data analysis and problem-solving.

Responsibilities:

• Provide expert technical guidance on API integration, model customization, prompt engineering, and solution architecture for partner projects.
• Create simulations for Robotics models in AI Studio and showcase capabilities for Robotics using Gemini ER models.
• Conduct 1:1 technical consultation and brainstorming sessions with strategic partners to help them develop innovative solutions using Googles 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 help influence future development.
• Support the adoption of Googles Generative AI technologies with strategic partners across the EMEA and APAC regions.
• Facilitate brainstorming sessions and partner consultations to unlock the business potential of LLM models.

Technologies:

• AI
• API
• Business Intelligence
• Cloud
• Support
• LLM
• Linux
• Machine Learning
• NoSQL
• Robotics
• SQL
• Unix
• Windows

More:

We are Google, and our gTech team helps bring our products and services to life. Our trusted advisors support customers globally with technical skill, product expertise, and a deep understanding of complex customer needs. In this role, we work with highly strategic partners across EMEA and APAC to support adoption of Googles Generative AI technologies, including Gemma and Gemini ER models via AI Studio. We are helping businesses leverage Googles models, advance innovation, and grow careers through hands-on technical work with cutting-edge AI products.

last updated 34 week of 2026