GCP Enterprise Solution Architect
External job listingat E-Solutionsinc
Responsibilities · Enterprise Architecture Strategy: Define and govern scalable, secure, and high-performance B2C product architectures on Google Cloud Platform (GCP), ensuring alignment...
Salary
Not provided
Location
United States
Employment type
Full time
Workplace
Remote
GCP Enterprise Solution Architect
United States
Job description
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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