AI Architect

Tasks

• Design and lead large‐scale AI/ML solution architecture on GCP, including Vertex AI, Generative AI, and prompt engineering strategies.
• Own the full lifecycle of AI deployments: model integration, CI/CD pipelines, observability, and production support.
• Build robust Java microservices (Spring Boot), REST APIs, and security patterns that scale across enterprise workloads.
• Drive enterprise integration via API‐led connectivity, data exchange patterns, and hybrid legacy‐modern platform interactions.
• Evaluate, pilot, and embed advanced AI productivity tools such as Claude or Antigravity to boost delivery speed and quality.
• Partner with senior business and technology stakeholders to translate complex needs into scalable tech solutions.

Requirements

• Minimum 12 years overall IT experience with strong focus on cloud architecture, enterprise architecture, or AI/ML solution design.
• Extensive hands‐on experience with Google Cloud Platform services and native cloud architecture patterns.
• Deep expertise in Vertex AI, generative AI solution design, prompt engineering, AI governance, and deployment considerations.
• Proven background in Java and Spring Boot: microservices, RESTful APIs, security, and backend scalability.
• Practical knowledge of enterprise integration, API‐led connectivity, and data‐exchange patterns in modern and legacy environments.
• Excellent communication, facilitation, consulting, and stakeholder‐management skills.
• Google Professional Cloud Architect certification or comparable credentials strongly preferred.
• Healthcare industry experience with provider systems, clinical operations, payer/provider integration, or reg

Schedule

• 100% Remote