Description

Key Responsibilities

· Define 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.

Required Qualifications

· Bachelor'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 Certifications · Google Cloud Professional Cloud Architect · Google Cloud Professional DevOps Engineer

· Google Cloud Professional Data Engineer

· Google 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

Key Skills

Education

Bachelor's or Master's degrees