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Field Solutions Architect, Generative AI, Google Cloud

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Google

18d ago

  • Job
    Full-time
    Senior Level
  • Software Engineering
    IT & Cybersecurity
  • Milan, +1

AI generated summary

  • You need a Bachelor's in Computer Science or Data Science, 6 years in AI/ML, Python skills, Generative AI experience, and fluency in Spanish or Italian. Preferred skills include systems design and ML engineering.
  • You will advise customers on AI-driven architecture, optimize model performance, create technical assets, and coordinate enablement activities, while collaborating cross-functionally and traveling as needed.

Requirements

  • 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.

Responsibilities

  • Advise our customers by understanding the customer’s business process and objectives. Architect AI-drive, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
  • Work with customers, demonstrate features, tune models, optimize model performance, profiling, and bench marking. Troubleshoot and find solutions to issues training/serving models in a large-scale environment.
  • Build repeatable technical assets such as scripts, templates, reference architectures to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
  • Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement activities.
  • Travel as needed.

FAQs

What location options are available for this position?

The position offers preferred working locations in Madrid, Spain; Milan, Metropolitan City of Milan, Italy; and Rome, Metropolitan City of Rome Capital, Italy.

What are the minimum qualifications required for this role?

The minimum qualifications include a Bachelor's degree in Computer Science, Data Science, or equivalent practical experience, 6 years of experience in AI/ML as a technical sales engineer or software engineering, proficiency in Python and Machine Learning frameworks (e.g., TensorFlow, PyTorch), experience in Generative AI, and the ability to communicate fluently in Spanish or Italian.

What are some of the preferred qualifications for this role?

Preferred qualifications include experience in systems design, full-stack ML engineering, implementing search concepts, and experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone.

What responsibilities does the Generative AI Field Solutions Architect have?

Responsibilities include advising customers, architecting AI-driven solutions, demonstrating features, optimizing model performance, building repeatable technical assets, and coordinating regional field enablement activities.

Is travel required for this position?

Yes, travel is required as needed.

How does this role interact with customers?

In this role, you will advise customers by understanding their business processes and objectives, demonstrate features, tune models, and troubleshoot issues in a large-scale environment.

Does Google support applicants with disabilities?

Yes, Google is committed to an inclusive workplace and invites applicants with disabilities to apply, providing accommodations as needed.

What technologies does this position focus on?

This position focuses on Google Cloud’s AI/ML and Generative AI technology, including AI Accelerators (TPU/GPU) and various ML frameworks.

Will the Field Solutions Architect work cross-functionally?

Yes, the Field Solutions Architect will work cross-functionally to influence Google Cloud strategy and product direction and collaborate with internal Cloud AI teams.

What is the role of technical assets in this position?

Building repeatable technical assets such as scripts, templates, and reference architectures is crucial to enable other customers and internal teams efficiently.

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Mission & Purpose

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.