12+ years of IT experience, focusing on cloud, enterprise, integration, or AI/ML architecture.
Hands-on expertise with Google Cloud Platform (GCP) and cloud-native architecture.
Proficient in designing solutions with Vertex AI and Generative AI.
Knowledgeable in prompt engineering, model integration, and AI governance.
Strong programming skills in Java and Spring Boot.
Experience in designing microservices and REST APIs for secure, scalable applications.
Ability to integrate modern cloud platforms with legacy systems.
Strong consulting and communication skills for engaging with senior stakeholders.
Responsibilities
Design and implement AI-enabled enterprise architecture and cloud-native solutions using GCP.
Develop Generative AI solutions with Vertex AI, focusing on prompt engineering and model integration.
Create scalable backend applications using Java and Spring Boot.
Build and integrate secure microservices and REST APIs.
Connect modern cloud platforms with legacy enterprise systems.
Evaluate and apply AI productivity tools to enhance engineering and solution delivery.
Collaborate with senior stakeholders to align architecture with business objectives.
Support the integration of AI capabilities into enterprise workflows.
Benefits
Opportunity to work at the intersection of AI and healthcare.
Engagement with cutting-edge technologies like Generative AI and Vertex AI.
Collaboration with senior business and technology leaders.
Potential for professional growth in a rapidly evolving field.
Involvement in impactful projects that enhance healthcare delivery.
Full Job Description
Job Title: AI Architect / FDE - Healthcare
Salary: $200,000 - $220,000
Role Summary
We are seeking an experienced AI Architect / Forward Deployed Engineer (FDE) to lead AI-enabled enterprise architecture, Google Cloud Platform (GCP) engineering, and system integration within a healthcare environment. The ideal candidate will have strong hands-on experience with GCP, Vertex AI, Generative AI, Java, and Spring Boot, along with expertise in enterprise integration and scalable cloud-native solutions.
The role requires the ability to translate business and technology requirements into practical AI solutions, integrate modern and legacy systems, and collaborate effectively with senior business and technology stakeholders. Key Responsibilities
Design and implement AI-enabled enterprise architecture and cloud-native solutions using GCP.
Develop Generative AI solutions using Vertex AI, including prompt engineering, model integration, governance, and production deployment considerations.
Design and develop scalable backend applications using Java and Spring Boot.
Build and integrate microservices and REST APIs with appropriate security and scalability.
Connect modern cloud platforms with legacy enterprise systems.
Evaluate and apply AI productivity tools, including Claude and Antigravity, to support engineering and solution delivery.
Collaborate with senior business and technology stakeholders to align architecture and implementation with business objectives.
Support the integration of AI capabilities into enterprise workflows and technology platforms.
Required Qualifications
12+ years of overall IT experience, with substantial experience in cloud, enterprise, integration, or AI/ML architecture.
Strong hands-on experience with Google Cloud Platform (GCP) and cloud-native architecture.
Experience with Vertex AI and Generative AI solution design.
Knowledge of prompt engineering, model integration, AI governance, and production deployment considerations.
Strong hands-on experience with Java and Spring Boot.
