Google Cloud Architect

About the RoleThe candidate will be responsible for architecting enterprise-scale cloud and AI solutions using Google Vertex AI, Gemini Models, AI Agents, RAG architectures, and cloud-native services, while ensuring scalability, security, governance, and business alignment.

ResponsibilitiesDefine and lead enterprise cloud architecture strategy on Google Cloud Platform (GCP).Design scalable, secure, and resilient solutions leveraging GKE, Cloud Run, Compute Engine, BigQuery, Cloud Storage, Cloud SQL, and networking services.Architect and govern Generative AI solutions using Google Gemini and Vertex AI.Design and implement AI Agents, Agentic AI frameworks, RAG architectures, vector databases, prompt orchestration, and enterprise knowledge solutions.Establish cloud and AI governance, security, observability, and FinOps practices.Lead cloud migration, modernization, and AI transformation initiatives.Collaborate with business stakeholders, product owners, data scientists, and engineering teams to translate business requirements into scalable solutions.Drive technical reviews, architecture standards, reusable patterns, and best practices.Provide technical leadership for production deployment, performance optimization, and operational excellence.
QualificationsBachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.10+ years of IT experience, including 5+ years in cloud architecture and 3+ years in GenAI/LLM solutions.Deep expertise in Google Cloud Platform (GCP) architecture and enterprise-scale implementations.Hands-on experience with Vertex AI, Gemini Models, AI Agents, RAG, Vector Databases, Prompt Engineering, and LLM Integration.Strong experience in Terraform, Kubernetes, Docker, CI/CD, DevSecOps, API design, and microservices architecture.Proficiency in Python and cloud-native application development.Experience architecting secure, compliant, and highly available enterprise platforms.Strong stakeholder management, architecture governance, and solutioning capabilities.

Preferred SkillsGoogle Cloud Professional Cloud ArchitectGoogle Cloud Professional DevOps EngineerGoogle Cloud Professional Data EngineerGoogle Cloud Generative AI Certification / Vertex AI Specialization

Nice-to-Have (Pharma/Life Sciences Environment)Experience working in Pharmaceutical, Life Sciences and R&D domains.Understanding of GxP, CSA/CSV validation, ALCOA+, data integrity, and regulated cloud environments.Familiarity with Responsible AI frameworks, data governance, and compliance requirements in regulated industries.