AI Customer Engineer, Google Cloud
Technology, Data & Digital · Data, AI & Analytics · Data Science · Cloud Engineering
In short
Als AI Customer Engineer für Google Cloud, mit Sitz in Gurugram oder Bengaluru, treiben Sie die technische Lösung komplexer Workloads im Bereich KI voran und fördern deren schnelle und erfolgreiche Einführung. Sie beraten Kunden technisch, bauen Beziehungen auf und arbeiten eng mit Produkt- und Ingenieurteams zusammen, um Kundenanfragen zu bearbeiten und die Produktentwicklung zu beeinflussen.
Responsibilities
- Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
- Combine business strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
- Provide technical consultation to customers, acting as a technical advisor and building customer relationships.
- Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team.
- Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
- Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
Requirements
- Bachelor's degree or equivalent practical experience.
- 6 years of experience working within tech startups or digital-native organizations.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Desired Qualifications
- Experience in developing financial services or telecommunication agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
- Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking.
- Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways.
- Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.
Benefits
- Opportunity to work with cutting-edge AI technologies on Google Cloud.
- Shape the future of cloud computing and AI for leading companies.
- Collaborate with product and engineering teams to influence product direction.
- Advocate for Google Cloud at customer sites and industry events.
Skills
LangGraphSemantic KernelGoogle AI Agent Development Kit (ADK)SaaSiPaaSCloud infrastructureAgentic AICloud networkingOpenAPIModel Context Protocol (MCP)API Gatewaysdistributed tracingloggingaudit logging
#AI#Customer Engineer#Google Cloud#Technical Consulting#Solution Architecture#Customer Engagement#Tech Startups#Digital-Native#Financial Services#Telecommunication#Cloud Technologies#Agentic AI
About Google
Innovative Full-Stack Developer | Building Scalable Solutions with Node.js & React
At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.
Company
GoogleJob Posted
4 days ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Mid-Senior
Locations
Gurugram, India
Bengaluru, India
Qualification
Bachelor
Applicants
Be an early applicant
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