Field Solutions Architect, GenAI, Google Cloud (English)

Field Solutions Architect, GenAI, Google Cloud (English)

corporate_fare Google place London, UK

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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.
• Experience delivering technical presentations and leading business value sessions.
• Ability to communicate in English to support client relationship management in this region.

Preferred qualifications:

• 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 in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.
• Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone.
• Understanding of nearest neighbor search concepts.

About the job

In this role, 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 with solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators Tensor Processing Unit (TPU)/Graphics Processing Unit (GPU).

You will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve issues. You will help customers leverage accelerators within the 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

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