Head of Generative AI Specialist, Blackbelt
Job Summary
Job Description
- Bachelor's degree in STEM or equivalent
- 10+ years experience as technical Solution Architect
- 5+ years team leadership experience
- Experience with LLMs, Open Source, Big Data, ML
- Experience with AI products, technologies, infrastructure
- Master's degree in Engineering or Computer Science
- Experience with AI/ML solution building, Kubeflow
- Experience with scalable, distributed systems and ML technologies
- Understanding of AI models, LLMs, and specialized AI infrastructure
- Understanding of responsible AI practices
3 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 10 years of experience serving in the capacity of a technical Solution Architect in a cloud computing environment or a customer-facing role.
- 5 years of experience in leading a team.
- Experience with LLMs, Open Source, Big Data, Machine Learning, and numerical programming frameworks.
- Experience with AI products, technologies, and infrastructure.
Preferred qualifications:
- Master's degree in Engineering, Computer Science, or related technical fields.
- Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging specific ML architectures (e.g., deep learning, LSTM, etc.).
- Experience architecting and developing software or infrastructure for scalable, distributed systems and with ML technologies.
- Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
- Understanding of responsible AI practice.
- Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Sales teams as an Generative Artificial Intelligence (AI) subject matter expert to bring Google Cloud AI products to customers and partners.
The ML, Systems & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Lead a team of high performing individuals and travel to customer sites, conferences, and other related events as needed.
- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
- Support developers, creators, and enterprises to leverage Google’s Generative Language Application programming interfaces (API) so they can build their own AI products in the future.
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About The Company
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.
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