Cloud Solution Architect

Job Description: You are a Cloud Solution Architect specializing in Google Cloud Platform (GCP) and AI services. Your role involves leading the design and deployment of intelligent, scalable, and secure cloud solutions, playing a crucial part in shaping the organization's cloud and AI strategy. Key Responsibilities: - Architect and implement end-to-end solutions using GCP services, focusing on AI and machine learning capabilities. - Collaborate with stakeholders to gather requirements and translate them into scalable, intelligent architectures. - Lead cloud migration and modernization initiatives, integrating AI-driven components where applicable. - Design and deploy models using GCP AI tools such as Vertex AI, BigQuery & Custom model development. - Define best practices for cloud security, scalability, and cost optimization. - Create architectural diagrams, documentation, and technical roadmaps. - Provide technical leadership and mentorship to development and data science teams. - Conduct architecture reviews and ensure alignment with enterprise standards. Required Skills & Qualifications: - Bachelor's or master's degree in computer science, Engineering, or related field. - 5+ years of experience in software development and architecture roles. - 3+ years of hands-on experience with GCP services (Compute Engine, Cloud Functions, BigQuery, Cloud Storage, etc.). - Proven experience with GCP AI/ML services (Vertex AI, AutoML, BigQuery ML, etc.). - Strong understanding of cloud-native design, microservices, and container orchestration (Kubernetes, GKE). - Experience with CI/CD pipelines and DevOps practices. - Excellent communication and stakeholder engagement skills. - Ability to balance technical depth with business strategy. - GCP Professional Cloud Architect or Professional Machine Learning Engineer certification. Preferred Qualifications: - Experience with hybrid and multi-cloud environments. - Familiarity with infrastructure-as-code tools (Terraform, Deployment Manager). - Background in data architecture, model lifecycle management, and MLOps.,