Your Future is our Future

At Lumeris, we believe that our greatest achievements are made possible by the talent and commitment of our team members. That's why we are actively seeking talented and collaborative individuals who are passionate about making a difference in the healthcare industry. Join us today as we strive to create a system of care that every doctor wants for their own family and become part of a community that values its people and empowers you to make an impact.

Position:

GCP AI Architect

Position Summary:

We are seeking an AI Architect specializing in Google Cloud Platform (GCP), with deep experience in advanced AI agents, agentic AI systems, and cutting-edge AI tech stacks, tailored to the challenges and opportunities within the Health Tech sector. This role is instrumental in designing and delivering robust, compliant, and innovative AI-powered solutions for healthcare applications, leveraging GCP services and agent frameworks to drive clinical, operational, and patient-centered transformation.

Job Description:

Key Responsibilities 

• Architect Advanced Health AI Solutions: Design, implement, and optimize compliant, scalable, and efficient AI systems on GCP for health tech use cases, utilizing GCP 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 GCP, validating clinical performance, reliability, and security. 

• Research & Thought Leadership in Health AI: Stay ahead of emerging methodologies (agentic AI, generative AI, reinforcement learning) and prototype novel health applications including clinical decision support, patient risk stratification, and population health management. 

• Mentorship & Best Practices: Mentor teams on AI model governance, health data privacy and security (HIPAA, GDPR), and ethical frameworks for AI in health; champion best practices in operational excellence and continuous improvement. 

Required Qualifications 

• Master’s in computer science, AI, Machine Learning, Health Informatics, Engineering, or related field. 

• 5+ years architecting AI/ML solutions; 2+ years building agentic AI or multi-agent systems, ideally with healthcare applications. 

• Deep expertise in GCP services: BigQuery, Vertex AI, Dataflow, Cloud Functions, and automation tools; experience integrating with health data ecosystems (EHR, HL7/FHIR). 

• Demonstrated ability developing autonomous agents/frameworks using LLMs and agentic methodologies (LangChain, LangGraph<