[Remote] Google Cloud Platform AI Architect - Health Tech (Agentic AI & Next-Gen AI Tech)

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Dice is the leading career destination for tech experts, and they are seeking a Google Cloud Platform AI Architect specialized in Health Tech. This role involves designing and implementing advanced AI solutions on Google Cloud Platform to enhance patient experiences and healthcare delivery. 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. Skills • Prior Google Cloud Platform + AI Architecture experience • Hands-on experience with architecture, coding support, and guidance • Experience designing, implementing, and optimizing compliant, scalable, and efficient AI systems on Google Cloud Platform • Utilization of Google Cloud Platform technologies like Vertex AI, BigQuery, Dataflow, and Looker • Expertise in building and leading autonomous AI agents in healthcare • Experience with state-of-the-art LLMs and multi-agent architectures • Development of multi-node, agentic AI models for healthcare applications • Knowledge of modern AI libraries and frameworks (LangChain, LangGraph, Hugging Face) • Integration with cloud-native platforms, vector databases, and health data standards (FHIR, HL7) • Cross-functional collaboration with clinical, Product, IT, and business teams • Experience in deploying and monitoring production-grade healthcare AI and ML models on Google Cloud Platform • Validation of clinical performance, reliability, and security of AI models Company Overview • Welcome to Jobs via Dice, the go-to destination for discovering the tech jobs you want. It was founded in undefined, and is headquartered in , with a workforce of 0-1 employees. Its website is Apply tot his job
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