Field Solutions Architect, Generative AI, Google Cloud

Google; Roma; In loco; EUR 80.000 - 120.000; Tempo pieno

Descrizione del lavoro

Google seeks a Field Solutions Architect in Generative AI to innovate with Google Cloud’s AI/ML technologies, supporting sales and engineering teams. The role involves developing AI applications and optimizing cloud strategies for enterprise customers. Ideal candidates possess a background in Computer Science and technical sales experience, with expertise in Python and machine learning frameworks.

Competenze

• 6 years of experience in AI/ML as a technical sales engineer or software engineer.
• Experience in Generative AI as a user or developer.
• Ability to communicate in Spanish or Italian fluently.

Mansioni

• Support Google Cloud Sales and Engineering teams to deploy AI/ML technology.
• Identify, assess, and develop GenAI and AI/ML applications.
• Help customers leverage accelerators within their cloud strategy.

Conoscenze

Python

Machine learning

Generative AI

Technical sales

Communication

Formazione

Bachelor's degree in Computer Science or Data Science

Strumenti

TensorFlow

PyTorch

LangChain

Faiss

Pinecone

Descrizione del lavoro

Field Solutions Architect, Generative AI, Google Cloud

corporate_fare Google place Madrid, Spain ; Milan, Metropolitan City of Milan, Italy ; Rome, Metropolitan City of Rome Capital, Italy

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Minimum Qualifications :

• Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
• 6 years of experience working in AI / ML as a technical sales engineer or in software engineering.
• Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in Generative AI as a user or a developer.
• Ability to communicate in Spanish or Italian fluently to deliver technical presentations and lead business value sessions.

Preferred Qualifications :

Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.

Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models.

Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion.

Experience with semantic search frameworks and tools / databases such as LangChain, Faiss, and Pinecone.

Understanding of nearest neighbor search concepts.

About the Job :

As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud’s AI / ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators (TPU / GPU).

In this role, you will identify, assess, and develop GenAI and AI / ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal Cloud AI teams to remove roadblocks and shape the future of our offerings.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical

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