Senior Solution Architect (GCP AI)

As an AI Architect specializing in Google Cloud Platform (GCP), you will be the visionary and technical lead responsible for designing, deploying, and scaling enterprise-grade AI and Machine Learning solutions. You will bridge the gap between complex business problems and cutting-edge cloud technologies, ensuring that our AI initiatives are robust, ethical, and cost-effective

Experience

Minimum 18 years of all IT experience

Minimum 2 years hands-on on GCP specialized in AI / Agentic services

Certifications

GCP Professional Data Engineer / Google AI Skilled Certificate

Job Roles And Responsibilities

- Offerings and Solution Architecture: Design end-to-end offerings with AI/ML architectures using GCP services like Vertex AI, BigQuery ML, and Dataflow.
- Generative AI Strategy: Lead the implementation of Large Language Models (LLMs) using Gemini, Model Garden, and Generative AI Studio.
- MLOps Leadership: Establish and maintain automated ML pipelines (CI/CD/CT)



to streamline the transition from experimentation to production.
- Data Strategy: Collaborate with data engineers to design scalable data pipelines that support high-performance model training and real-time inference.
- Security & Governance: Ensure all AI solutions adhere to enterprise security standards, data privacy regulations (GDPR/CCPA), and AI ethics frameworks.
- Cost Optimization: Monitor and optimize cloud resource consumption to ensure a high ROI for AI projects.

Technical Skills CategorySkills & ToolsGCP Core AIVertex AI (Workflows, Pipelines, Feature Store), Gemini, Document AIData & AnalyticsBigQuery, Cloud Storage, Dataproc, Cloud SpannerFrameworksTensorFlow, PyTorch, JAX, Scikit-learnInfrastructureCompute, Networking, Storage, Terraform, GKE (Google Kubernetes Engine), Cloud Functions, Cloud RunProgrammingPython (Expert), Go or Java (Preferred), SQL

📌 Cloud Solution Architect (Bengaluru)
🏢 Virtusa
📍 Bengaluru