Overview
Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Artificial Intelligence
Google Cloud Platform
Machine Learning (ML)
agentic AI
Next-Gen AI
AI Architect
Vertex AI
healthcare data systems
Job Details
Google Cloud Platform Architect with (Agentic AI & Next-Gen AI Tech) in Health Tech domain
100% Remote
Role Overview
We are seeking an AI Google Cloud Platform Architect to pioneer agentic AI and next-generation intelligent systems within the health tech domain. This role will drive the transformation of patient experiences, clinical workflows, and healthcare delivery by designing and building advanced AI-powered solutions on Google Cloud Platform (Google Cloud Platform).
Must Haves
- Proven track record as an AI Architect with deep Google Cloud Platform expertise (Vertex AI, BigQuery, Dataflow, Looker, etc.)
- Strong hands-on architecture and coding background able to lead and guide technical teams
- Experience with healthcare data systems and compliance frameworks (HIPAA, FHIR, HL7)
- Expertise in building LLM-powered agentic AI solutions
- Ability to partner with clinical, product, IT, and business teams to align solutions with compliance and patient safety
Key Responsibilities
- Architect Advanced Health AI Solutions
Design, implement, and optimize scalable, compliant AI systems on Google Cloud Platform tailored for healthcare use cases. - AI Agent Development in Healthcare
Build and guide autonomous AI agents supporting diagnosis, predictive analytics, personalized medicine, interoperability, and patient engagement. - Agentic AI Solution Delivery
Develop multi-node agentic AI architectures (e.g., RAG for literature synthesis, semantic medical record search, state graphs/agentic memory for patient histories, API orchestration with EHR/imaging systems). - Innovate with Emerging AI Tech
Leverage LangChain, LangGraph, Hugging Face, vector databases, and healthcare data standards. - Cross-Functional Collaboration
Translate clinical and business requirements into AI-driven healthcare solutions, ensuring alignment with compliance and patient safety. - Operationalize AI/ML Models
Lead deployment, monitoring, and validation of production-grade healthcare AI/ML models on Google Cloud Platform.
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