AI GCP Architect
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Job Location:
Fremont, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Role: Google Cloud AI Architect (Agentic AI & Presales Solutions)
Location: Flexible / Global
Employment: FTE
Role Overview
Virtusa is seeking a Google Cloud AI Architect specializing in Agentic AI platforms to drive AI solution architecture presales support and enterprise AI adoption for clients leveraging Google Clouds Generative AI ecosystem.
This role will work closely with sales teams clients and engineering teams to design and deliver agentic AI solutions intelligent automation systems and enterprise AI platforms on Google Cloud. The architect will lead customer workshops solution design proposal development and technical orals helping clients accelerate AI-driven transformation initiatives.
The ideal candidate will have strong experience designing AI agents LLM-powered applications and scalable AI platforms along with deep expertise in Google Cloud AI services and emerging agentic frameworks.
Key Responsibilities
Presales & Client Engagement
Partner with sales teams and client stakeholders to understand business problems and translate them into AI-driven solutions on Google Cloud.
Lead customer workshops AI discovery sessions and solution design engagements.
Develop end-to-end architectures for enterprise agentic AI solutions.
Support RFP/RFI responses proposal writing solution documentation and technical presentations.
Participate in solution orals and executive briefings to articulate business value of AI solutions.
Contribute to solution estimation deal shaping and closing strategic engagements.
Agentic AI Solution Architecture
Design enterprise-grade agentic AI architectures on Google Cloud.
Build architectures leveraging Google AI technologies including Gemini Enterprise Agentspace Agent Development Kit (ADK) Agent-to-Agent (A2A) communication Model Context Protocol (MCP) Vertex AI and Vertex AI Agent Engine.
Architect multi-agent systems autonomous workflows and AI-powered enterprise applications.
Integrate LLMs with enterprise systems APIs knowledge bases and business workflows.
AI Platform & Infrastructure
Design and deploy scalable AI platforms and LLM-powered applications on Google Cloud.
Architect AI workloads using Google Cloud infrastructure services including Vertex AI GKE Cloud Run Compute Engine and AI infrastructure with GPUs and accelerators.
Define deployment strategies for AI agents using GKE Cloud Run Vertex AI Agent Engine and serverless architectures.
Provide guidance on model lifecycle management model deployment and scalable inference architectures.
AI Engineering & LLMOps
Implement LLMOps and AI platform engineering practices for scalable AI solutions.
Ensure monitoring governance observability and reliability of AI systems.
Architect RAG pipelines vector databases and knowledge-driven AI systems.
Open Source AI Ecosystem
Evaluate and integrate open-source AI and agentic frameworks to enhance enterprise solutions.
Work with frameworks and tools such as LangChain LangGraph LlamaIndex AutoGen CrewAI and other agent orchestration platforms.
Combine Google Cloud AI services with open-source AI ecosystems to build flexible architectures.
FinOps & Scalable AI Architecture
Design cost-efficient AI architectures aligned with FinOps principles.
Optimize GPU usage inference workloads and AI infrastructure costs.
Implement scalable AI architectures that can support enterprise workloads and future growth.
Innovation & Thought Leadership
Develop innovative AI accelerators reusable agent frameworks and solution blueprints.
Track emerging trends in agentic AI LLM platforms and AI infrastructure.
Provide thought leadership to clients on enterprise AI adoption and next-generation AI architectures.
Delivery Advisory
Provide architecture guidance during project execution.
Ensure solutions align with security scalability governance and operational best practices.
Required Qualifications
15 years of experience in software engineering AI/ML engineering or enterprise architecture.
6 years of experience working with Google Cloud Platform.
Proven experience designing AI/ML or Generative AI solutions on cloud platforms.
Experience supporting presales engagements proposals and enterprise solution architecture.
Technical Expertise
Strong experience with Google AI and cloud technologies including Gemini Enterprise Agentspace Agent Development Kit (ADK) Agent-to-Agent (A2A) Model Context Protocol (MCP) Vertex AI Vertex AI Agent Engine GKE Cloud Run Compute Engine and Google Cloud GPU infrastructure.
Strong familiarity with open-source AI frameworks including LangChain LangGraph LlamaIndex CrewAI AutoGen and other agent orchestration frameworks.
Certifications
At least one Google Cloud certification (two preferred):
Google Cloud Professional Machine Learning Engineer
Google Cloud Professional Cloud Architect
Google Cloud Professional Data Engineer
Required Experience:
Staff IC
Key Skills
About Company
At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.
