Job Description

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 Professional 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