AI Incubation Lead, VertexAI, Core, Global Services Delivery

AI Incubation Lead, Vertex

AI, Core, Global Services Delivery

Google

Preferred locations include Austin, TX;
New York, NY;
Reston, VA;
Seattle, WA;
Washington D.C.; and Miami, FL.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience supporting customers across industries and business functions, leading programs in enterprise implementations including technical support, escalation management, consulting, and issue resolution.
• Experience in one or more disciplines: vLLM, Slurm, Pallas, JAX, machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
• Experience managing, scaling, and delivering projects with tight deadlines as well as a technical team.

• Certification in cloud, such as the Google Cloud Platform (GCP) Machine Learning Engineer.
• Experience in AI operations, including implementing, migrating, and supporting live AI environments on a public cloud.
• Experience in a statistical programming language like R or Python and with applied machine learning techniques.
• Ability to architect and explain ML Operations platforms and translate business problems into viable AI projects.
• Excellent written and verbal communication, presentation, and problem‑solving skills.

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their businesses through Google’s global network, web‑scale data centers, and software infrastructure. In this role you will help bring the Vertex AI Core strategy globally and lead a cross‑functional team of experts delivering early stage pilots that address business needs using Google Cloud’s platform.

You will collaborate with internal Google Cloud AI teams—product, engineering, business, professional services, learning, etc.—and external customers to define, align, and execute specialized pilots that guide product strategy and transform customers through the full lifecycle of Vertex AI core products. You will develop technical leadership, collaborate to solve customer business problems, navigate ambiguity, and apply AI/ML on cloud technologies. Strong communication and stakeholder management skills, motivation in a fast‑changing environment, and a love for Google products are essential.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry, delivering enterprise‑grade solutions that leverage cutting‑edge technology. Customers in more than 200 countries turn to Google Cloud as their trusted partner to enable growth and solve critical problems.

• Implement, migrate, and support live AI environments on a public cloud, ensuring adherence to core production strategies.
• Deploy and manage machine learning frameworks such as Slurm, Ray.io, Kubeflow, or MLFlow.
• Design and architect machine learning (ML) operations platforms and clearly articulate their functionality to stakeholders.
• Translate complex business problems into viable AI projects and establish metrics to measure their return on investment (ROI).
• Collaborate effectively with cross‑functional teams and stakeholders using communication, presentation, and problem‑solving skills.

Mid‑Senior level

Full‑time

Project Management, Consulting, and Engineering

Information Services and Technology, Information and Internet

US base salary range: $147,000–$216,000 + bonus + equity + benefits. Compensation details reflect base salary only; additional benefits available.

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 Google’s EEO Policy.

If you have a disability or special need that requires accommodation, please let us know by completing our accommodations form.