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Field Solutions Architect, Generative AI, Google Cloud

6.00 to 9.00 Years   Sweden (Sweden)   11 May, 2025
Google India Pvt Ltd
Job LocationSweden (Sweden)
EducationML/ LLM (Law)Any Graduate
SalaryAs per Industry Standards
IndustryInternet/Dot com/ISP
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

: Field Solutions Architect, Generative AI, Google CloudLocation: Stockholm, SwedenMinimum Qualifications:

  • Bachelors 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.
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 JobIn this role, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Clouds Artificial Intelligence/Machine Learning and Generative AI (GenAI) technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Clouds flexible and open infrastructure including AI Accelerators (Tensor Processing Unit/Graphics Processing Unit).You will identify, assess, and develop GenAI and Artificial Intelligence/Machine Learning 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 organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles 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 business problems.Responsibilities
  • Advise our customers by understanding the customers 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.
Information Collection and PrivacyInformation collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Keyskills :
python programming machine learning frameworks generative ai development systems design expertise semantic search techniques graphics oss artificial intelligence software engineering infrastructure

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