Google Cloud Architect Aguadilla -

Role Descriptions: Seeking an experienced Google Cloud Architect with 10+ years of IT experience and strong expertise in Google Cloud Platform (Google Cloud Platform), Cloud Architecture, and Generative AI. The 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.

Key Responsibilities

Define and lead enterprise cloud architecture strategy on Google Cloud Platform (Google Cloud Platform).

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

Bachelors or Masters 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 GenAILLM solutions.

Deep expertise in Google Cloud Platform (Google Cloud Platform) 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, CICD, 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 (PharmaLife Sciences Environment)

Experience working in Pharmaceutical, Life Sciences and R&D domains.

Understanding of GxP, CSACSV validation, ALCOA+, data integrity, and regulated cloud environments.

Familiarity with Responsible AI frameworks, data governance, and compliance requirements in regulated industries.