Senior AI Engineer

gehealthcare

Bengaluru 5 Years Exp Posted 2h ago

Own end‑to‑end AI automation architectures: ingestion → orchestration → model inference → human‑in‑the‑loop → monitoring & feedback loops.
Design and implement AI automation solutions leveraging Microsoft Power Platform and AWS Bedrock, including defining RAG patterns, tool/function calling, prompt management, evaluation frameworks, and selecting services and reference designs across Azure and AWS for secure, scalable deployments.
Develop APIs, microservices, and integration layers for enterprise systems (ERP, CRM, ITSM).
Integrate AI solutions with RPA platforms (Power Automate, UiPath) and business applications.
Contribute to internal frameworks, reusable components, and coding standards.
Lead design reviews, threat modelling, and post‑incident reviews.
Document architectures, runbooks, and knowledge articles; enable Ops for smooth handover.
Collaborate with Product/Business to identify automation opportunities and shape roadmaps and success metrics.
- Establish guardrails, safety, privacy, and governance (PII handling, data minimization, prompt/content safety, model versioning, auditability).