Senior AI Applications Engineer

About the role

GE HealthCare's Chief Data and Analytics Office delivers data, insight and AI products across Finance, Commercial, Supply Chain, Quality, Manufacturing and Operational Excellence. Most people creating AI solutions here are data scientists and analysts rather than career software engineers. Their modelling, evaluation and domain expertise is what these programmes need; deep infrastructure and front-end expertise is not reasonable to require of them.

What you'll do

• Build shared platform capabilities
• Reusable libraries used across AI applications: configuration, structured logging and tracing, error handling, resilience, messaging, data access, API scaffolding
• The shared execution layer for AI agents — the runtime that takes an agent's declared configuration
• The configuration-driven user interface capability, in which a business or data science user describes a dashboard in a structured data file and the platform renders it
• Build applications, where that is the fastest way to prove the platform

What you need

• SQL
• Python
• TypeScript
• AWS
• Angular
• CI/CD
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Docker
• LLMs
• Terraform
• Vue.js
• Test automation
• Test cases