Field Solutions Architect, Applied AI, Google Cloud _corporate_fare_ Google _place_ London, UK; Munich, Germany; 4 more; 3 more Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XFor Paris Applicants: Google welcomes people with disabilities. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Munich, Germany; Madrid, Spain; Paris, France; Dublin, Ireland. 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. 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 with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. 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 Cloudu2019s 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 Cloudu2019s flexible and open infrastructure including AI Accelerators Tensor Processing Unit/Graphics Processing Units (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. It's an exciting time to join Google Cloudu2019s Go-To-Market team, leading the AI revolution for businesses worldwide. Youu2019ll succeed by leveraging Google's brand credibilityu2014a legacy built on inventing foundational technologies and proven at scale. Weu2019ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. Weu2019re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud erau2014the market is yours. Responsibilities Advise our customers by understanding the customeru2019s 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 collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/), andHow we hire (https://careers.google.com/how-we-hire/). If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2). 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.