Senior Forward Deployed Ai Engineer

GE HealthCare UK

UK
Hybrid
End-to-end genai strategy
Rag, agentic ai, knowledge bases
Llm workflow design and deployment
Own the end-to-end GenAI strategy within customer environments—from discovery and problem decomposition to production deployment and adoption

Job Summary

  • Own the end-to-end GenAI strategy within customer environments—from discovery and problem decomposition to production deployment and adoption.
  • Leverage GEHC STO AI Fabric components to build robust data pipelines, define/align ontologies, and integrate ML/LLM models into operational tools and workflows.
  • Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities.

Matching Summary

Own the end-to-end GenAI strategy within customer environments—from discovery and problem decomposition to production deployment and adoption.

Skills & Requirements

Must-have

  • End-to-end GenAI strategy
  • RAG, agentic AI, knowledge bases
  • LLM workflow design and deployment
  • Conversational AI with memory
  • Python, Java or TypeScript proficiency
  • AWS SageMaker and Bedrock
  • Databricks, Spark/PySpark, SQL

Nice-to-have

  • Customer executive communication
  • Regulated domain experience
  • Knowledge graph expertise
  • Performance optimization for LLMs

Key Requirements

  • Minimum 5+ years in AI/ML engineering
  • 1.5+ years building production LLM/GenAI systems
  • Bachelor's Degree in Computer Science or STEM

Work Rights

Not specified

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