Gemini GenAI Architect

What if your next project turned Service Desks into autonomous, intelligent platforms?

Do you enjoy combining hands-on Gemini CX expertise with advising clients on strategy?

Looking for a role where you design agentic AI solutions on Google Cloud from day one?

We are looking for an Agentic AI Architect with extensive experience in Gemini CX who combines deep technical expertise in enterprise Agentic AI architectures with strategic consulting skills. You will lead requirements gathering with clients and design the technical architecture that turns traditional Service Desks into autonomous and intelligent support platforms, using the Google Cloud stack, Gemini Enterprise and agent architectures.

Practical information

Location: Madrid, Barcelona, León or Santiago de Compostela, Spain | Languages required: fluent/professional English and Spanish, both written and spoken | Visa requirements: valid permit to work in Spain.

What will you do?

• Act as a trusted advisor to technical stakeholders at every level, including security engineers, ITSM administrators, infrastructure directors and CTOs.
• Design and establish the right data architecture for our cloud projects, mainly on GCP. This means understanding business and technical requirements, identifying data storage, processing and analytics needs, and designing scalable, efficient solutions with each cloud provider's services.
• Work closely with Data Engineers, Data Scientists and Development Engineers to understand client requirements and challenges. Provide technical guidance and advice on implementing data solutions, making sure industry best practices and standards are followed.
• Assess and select the most suitable services and tools for each project. This means understanding the strengths and limitations of cloud services and keeping up with the latest trends and features in cloud data engineering and data science.
• Advise the Data Engineering, Data Science and Development teams on choosing algorithms, data modeling techniques and analytics strategies. Take part in code reviews and make sure the solutions you deliver are high quality and robust.
• Keep up to date with the third-party solutions that complement the GenAI ecosystem, and make sure the team knows about them.