Senior AI Engineer – Intelligent Automation

GE Healthcare GE Healthcare · Healthcare · Bengaluru, Karnātaka, India · Digital Technology / IT

Senior AI Engineer to lead architecture and development of AI-powered automations combining LLMs, classical ML, RPA/workflow, and enterprise systems. This role involves designing reference architectures, building secure and performant services, and productionizing solutions, bridging solution architecture with hands-on engineering.

What you'd actually do

  1. Own end‑to‑end AI automation architectures: ingestion → orchestration → model inference → human‑in‑the‑loop → monitoring & feedback loops.
  2. 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.
  3. Develop APIs, microservices, and integration layers for enterprise systems (ERP, CRM, ITSM).
  4. Integrate AI solutions with RPA platforms (Power Automate, UiPath) and business applications.
  5. Establish guardrails, safety, privacy, and governance (PII handling, data minimization, prompt/content safety, model versioning, auditability).

Skills

Required

  • 5+ years of software engineering experience
  • hands-on development in AI, frontend and backend technologies
  • Experience building AI/ML or LLM-based applications in production
  • Strong knowledge of Azure services (Azure OpenAI, Functions, AKS, API Management)
  • Strong knowledge of AWS services (Bedrock, Lambda, API Gateway)
  • Familiarity with RPA tools (Power Automate, UiPath) and enterprise integrations
  • Understanding of cloud security, identity management, and data privacy
  • Proficiency in CI/CD pipelines, Docker, and container orchestration

Nice to have

  • Experience with Power Platform (Power Automate, Power Apps)
  • Knowledge of subscription lifecycle management, supply chain, services, billing systems, and customer retention strategies
  • Exposure to AI/ML-driven alerting or anomaly detection systems

What the JD emphasized

  • productionize solutions
  • architecture and development
  • lead technical direction
  • guardrails, safety, privacy, and governance

Other signals

  • productionize solutions
  • architecture and development
  • lead technical direction