Job Description Summary Job Description Key Responsibilities Partner with cross-functional teams—including clinicians, product managers, engineers, and external stakeholders—to understand business use cases, clinical workflows, and digital transformation goals. Leverage the GE HealthCare AI platform , including modular microservices , large language models (LLMs) , and foundation models , to architect intelligent solutions that address real-world challenges in healthcare delivery, diagnostics, imaging, and operational efficiency. Rapidly design and implement proof-of-concepts (POCs) aligned to specific business needs, using AI models and microservices to validate solution viability, accelerate decision-making, and demonstrate clinical impact. Develop reference architectures and reusable solution templates that streamline the implementation of AI-driven workflows, ensuring scalability, performance, and ease of integration. Guide the integration of foundation models—such as those for medical summarization, clinical coding, image annotation, and patient engagement—into enterprise applications in a secure, privacy-compliant, and cost-effective manner. Collaborate with engineering teams to ensure microservices and AI capabilities are production-ready, maintainable, and aligned with compliance standards such as HIPAA, GDPR, and FDA guidelines. Advocate for best practices in AI architecture, MLOps, data pipeline design, and observability across GEHC’s ecosystem of solutions. Stay at the forefront of advancements in AI, generative models, healthcare interoperability, and cloud-native technologies, and translate this knowledge into innovation for GE HealthCare’s customers. Participate in customer engagements, strategic planning sessions, and technical workshops to evangelize the value of GE HealthCare’s AI platform and solution ecosystem.