Senior Solutions Architect (multiple Positions)

GE Healthcare GE Healthcare · Healthcare · Waukesha, WI +1 · Digital Technology / IT

This role focuses on the infrastructure architecture and data engineering aspects of developing and deploying AI solutions within a healthcare setting. The Senior Solutions Architect will guide software projects, contribute to a machine learning development environment, and develop technical plans for AI solutions, working with engineers, researchers, and clinical customers.

What you'd actually do

  1. Bolster digital technology needs through infrastructure architecture and guide multiple software projects as project leader and data engineering subject-matter expert (SME).
  2. Contribute to highly complex software projects to develop a dynamic machine learning development environment and to support clinical research and co-development collaborations.
  3. Develop technical plans and solutions for development and deployment of artificial intelligence (AI) solutions intended for hospital care area and research settings.
  4. Work directly with engineers, researchers, and clinical customers to support implementations at pilot sites and internal deployment environments.
  5. Maintain and execute multiple projects simultaneously.

Skills

Required

  • Bachelor’s degree or equivalent in STEM (Science, Technology, Engineering or Math), Computer Science, Information Technology, or related
  • Data integration within a healthcare setting
  • Machine learning/AI tools (Databricks, Airflow, Data factory)
  • Relational database applications (SQL)
  • Virtual machine systems (VMWare, or HyperV)
  • Complex data storage and retrieval projects
  • Kubernetes
  • Cloud architecture
  • Cloud deployments
  • Python
  • Docker Environments
  • HL7
  • FHIR
  • Airflow
  • Data factory

What the JD emphasized

  • Eight (8) years of experience in data integration within a healthcare setting
  • Two (2) years of experience machine learning/AI tools to include Databricks, Airflow, Data factory
  • Five (5) years of experience using relational database applications including SQL
  • Five (5) years of experience using virtual machine systems to include: VMWare, or HyperV
  • Five (5) years of experience supporting complex data storage and retrieval projects
  • Kubernetes and Cloud architecture and Cloud deployments
  • Python, Docker Environments, HL7, or FHIR
  • Airflow, or Data factory to manage data workflows

Other signals

  • Develop technical plans and solutions for development and deployment of artificial intelligence (AI) solutions
  • Contribute to highly complex software projects to develop a dynamic machine learning development environment