You will design reference architectures, build secure and performant services, and productionize solutions combining LLMs, classical ML, RPA/workflow, and enterprise systems
Job Summary
You will design reference architectures, build secure and performant services, and productionize solutions combining LLMs, classical ML, RPA/workflow, and enterprise systems.
This role bridges solution architecture with hands-on engineering, setting technical direction, shipping code, and mentoring others in a fast-paced, innovative environment.
GE HealthCare offers a culture that fosters care, collaboration, and support, with total rewards designed to unlock your ambition and turn ideas into world-changing realities.
Matching Summary
You will design reference architectures, build secure and performant services, and productionize solutions combining LLMs, classical ML, RPA/workflow, and enterprise systems.
Skills & Requirements
Must-have
AI automation architecture design
Azure and AWS cloud services
Integration with RPA platforms
Development of APIs and microservices
Cloud security and data privacy
CI/CD pipelines and container orchestration
Nice-to-have
Subscription lifecycle management knowledge
AI/ML-driven alerting systems experience
Cross-functional team collaboration
Mentorship and technical leadership
Focus on inclusion and diversity
Key Requirements
Bachelor’s or Master’s degree in computer science or related field
5+ years software engineering experience
Experience building AI/ML or LLM-based production applications
Familiarity with Power Automate and UiPath
Knowledge of cloud security and identity management