Overview
Full Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
GCP AI Architect
Job Details
Position : Google Cloud Platform AI Architect /Health Tech (Agentic AI & Next-Gen AI Tech) (Contract W2)
Location : Remote
MUST HAVES:
- Will be building AI applications on Google Cloud Platform platform. Team is building a "Primary Care Physician AI Assistant
- Must have prior Google Cloud Platform + AI Architecture experience.
- Architect will be very 'hands-on' with architecture, coding support, guidance
Overview
This position offers an exciting opportunity to pioneer agentic AI and next-generation intelligent systems for the health tech domain. You will help transform patient experiences, clinical workflows, and healthcare delivery through advanced Google Cloud Platform-powered solutions
Responsibilities
- Architect Advanced Health AI Solutions: Design, implement, and optimize compliant, scalable, and efficient AI systems on Google Cloud Platform for health tech use cases, utilizing Google Cloud Platform technologies like Vertex AI, BigQuery, Dataflow, and Looker to support clinical analytics, decision support, and workflow automation.
- AI Agent Expertise in Healthcare: Build and lead autonomous AI agents capable of supporting diagnosis, predictive analytics, personalized medicine, interoperability, and patient engagement using state-of-the-art LLMs and multi-agent architectures.
- Agentic AI Solution Delivery in Health Tech: Develop multi-node, agentic AI models to power healthcare applications (e.g., retrieval augmented generation for literature synthesis, semantic search in medical records, state graphs/agentic memory for patient histories, API orchestration across EHR and imaging systems).
- Innovate with New AI Tech Stacks: Employ modern AI libraries and frameworks (LangChain, LangGraph, Hugging Face) and integrate with cloud-native platforms, vector databases, and health data standards (FHIR, HL7).
- Cross-Functional Collaboration: As a leader in the data science team, engage with clinical, Product, IT, and business teams to scope requirements and deliver AI solutions aligned with healthcare objectives, regulatory standards, and patient safety priorities.
- Operationalize Healthcare AI/ML Models: Lead the deployment and monitoring of production-grade healthcare AI and ML models on Google Cloud Platform, validating clinical performance, reliability, and security.
Thank you,
Warm Regards
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