GCP Enterprise Solution Architect
Aviso de fuente externaen E-Solutionsinc
Responsibilities · Enterprise Architecture Strategy: Define and govern scalable, secure, and high-performance B2C product architectures on Google Cloud Platform (GCP), ensuring alignment...
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Ubicación
United States
Tipo de empleo
Tiempo completo
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Remoto
GCP Enterprise Solution Architect
United States
Descripción del empleo
Responsibilities
· Enterprise Architecture Strategy: Define and govern scalable, secure, and high-performance B2C product architectures on Google Cloud Platform (GCP), ensuring alignment with enterprise-wide standards.
· Agentic AI & LLM Orchestration: Architect and integrate autonomous, multi-agent AI systems that can execute complex workflows, retrieve external data, and drive intelligent, context-aware user interactions within B2C applications.
Qualifications
· 12+ years of experience in application architecture, software engineering, and cloud-native system design.
· Strong Product Development Background: Proven hands-on experience in the actual build, engineering, and launching of end-to-end, high-scale consumer-facing (B2C) products.
· Agentic AI Expertise: Practical experience designing systems using Agentic AI patterns, large language models (LLMs), and orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen) to build autonomous, action-oriented product features.
· GCP Platform Expertise: Deep, hands-on experience designing and deploying enterprise solutions natively on Google Cloud Platform (GCP). You must be able to articulate the "why" behind your architectural decisions and the trade-offs considered.
· Highly Desirable Multi-Cloud Versatility: Broad, hands-on architectural and product delivery experience spanning multiple major cloud platforms (specifically AWS or Azure alongside GCP).
· Business Consultation & Strategy: Exceptional business acumen with experience leading technical and product scoping discussions with non-technical business executives and product owners.
· Modern Architecture Mastery: Deep expertise in microservices, event-driven architecture, API-first principles, container orchestration (Kubernetes), and modern caching/database strategies (Relational and NoSQL).
· AI-Native Tooling Proficiency: Familiarity or hands-on experience leveraging AI-native development tools (e.g., integrated coding assistants in VSCode, Cursor, etc.) to accelerate the product development lifecycle.
· Certification: Google Cloud certification (e.g., Professional Cloud Architect) is strongly preferred.
If you're interested, you can contact at the email address mentioned below
Thanks and regards,
Anirudh Jamdagni
Technical Recruiter
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