AI Architect
bswiftFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 4+ years designing and implementing AI architectures focused on generative models like GPT, VAEs, and GANs, 10+ years with cloud platforms (AWS preferred) and AI/ML frameworks (TensorFlow, PyTorch), experience with Generative AI RAG pattern and LLM fine tuning, and with tools like Amazon SageMaker and Amazon Bedrock.
This information is not specified in the job description.
This information is not specified in the job description.
You will mentor a team of engineers and data scientists, collaborate with cross-functional teams including data scientists, engineers, and business leaders, and work directly with the Chief Data Officer (CDO).
A Bachelor’s degree in Computer Science, Engineering, or a related field is required, with a Master’s or PhD preferred.
Healthcare technology and data analytics provider
GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.