Principal Ai Engineer

Stryker

Hybrid
Ai validation strategy
Llm validation
Rag evaluation
Define and own the end-to-end AI evaluation architecture across speech, NLP, and GenAI platforms

Job Summary

  • Define and own the end-to-end AI evaluation architecture across speech, NLP, and GenAI platforms.
  • Design and lead implementation of a scalable AI testing platform that includes offline evaluation pipelines, golden dataset-driven regression systems, synthetic data generation frameworks, and online A/B testing & shadow deployment strategies.
  • Serve as the principal authority on AI testing and evaluation strategy, influencing architecture decisions and mentoring senior engineers.

Matching Summary

Define and own the end-to-end AI evaluation architecture across speech, NLP, and GenAI platforms.

Skills & Requirements

Must-have

  • AI validation strategy
  • LLM validation
  • RAG evaluation
  • speech benchmarking
  • MLOps
  • AI lifecycle governance
  • data governance standards

Nice-to-have

  • responsible AI practices
  • semantic search validation
  • LLM guardrails
  • cloud-native environments

Key Requirements

  • Bachelor's or Master's degree
  • 13+ years of experience
  • 5+ years hands-on LLM, RAG, NLP, or speech AI
  • Proven AI evaluation framework design
  • Strong Python and data analysis skills
  • Experience leading cross-team initiatives

Work Rights

Not specified

Tailored Resume

Cover Letter