AI Architect

• 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.

Preferred Qualifications:

• Google Professional Cloud Architect 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.

Skills

Mandatory Skills : AI solution architecture, Enterprise Architecture, Vertex AI
Good to Have Skills : Google Cloud Platform Cloud Pub/Sub, Google Cloud Platform Cloud Run, Google Antigravity, Java Microservices, Java SpringBoot