AI Architect
- Quantum World Technologies Inc.
46 Min Ago
NA
C2C
Remote
12-20 Years
Required Skills: Google Cloud Platform, Vertex AI, Generative AI
Job Description
AI Architect with GCP Experience
- 12+ years of overall IT experience, with significant experience in cloud architecture, enterprise architecture, integration, or AI/ML solution architecture.
- Strong hands-on experience with Google Cloud Platform services and cloud-native architecture patterns.
- Deep understanding of Vertex AI, Generative AI solution design, prompt engineering, model integration, AI governance, and production deployment considerations.
- Strong Java and Spring Boot background, including microservices architecture, REST APIs, security patterns, and scalable backend design.
- Practical experience with enterprise integration, API-led connectivity, data exchange patterns, and integration with legacy and modern platforms.
- Ability to evaluate and apply AI productivity tools such as Claude and Antigravity to improve engineering throughput, documentation, solution design, and delivery quality.
- Experience working with senior business and technology stakeholders in complex enterprise environments.
- Excellent communication, facilitation, consulting, and stakeholder-management skills.
Qualifications:
- Google Professional Cloud Architect Certification or relevant Google Cloud certification.
- Experience in healthcare, provider systems, clinical operations, payer/provider integration, or regulated enterprise environments.
- Experience with AI governance, security, privacy, responsible AI practices, and data-protection requirements.
- Exposure to MLOps, LLMOps, CI/CD, observability, and production support models for AI-enabled platforms.
