Principal AI Engineer

Sonic Healthcare USAAustin, TX

About The Position

Sonic Healthcare USA is seeking a Principal AI Engineer to lead the design, development, and deployment of enterprise AI solutions. This is a senior technical leadership role for a hands-on engineer who can define AI architecture, influence strategy, and build production-grade systems leveraging machine learning, large language models (LLMs), AI agents, and Retrieval-Augmented Generation (RAG). The ideal candidate will work closely with Engineering, Product, Security, and Data teams to transform complex business challenges into scalable, secure, and innovative AI solutions.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 8+ years of software engineering experience with 4+ years building AI/ML systems in production.
  • Proven experience designing and deploying scalable AI solutions.
  • Strong programming skills, preferably in Python.
  • Experience with Large Language Models (LLMs)
  • Experience with Retrieval-Augmented Generation (RAG)
  • Experience with Machine Learning platforms and frameworks
  • Experience with AI orchestration frameworks (LangChain or similar)
  • Experience with Vector databases and AI inference platforms
  • Experience leading complex technical initiatives from concept through production.
  • Excellent communication and stakeholder management skills.

Nice To Haves

  • Experience in healthcare, cybersecurity, or other regulated industries.
  • Experience with MLOps, model monitoring, and AI governance frameworks.
  • Knowledge of Responsible AI practices, security controls, and compliance requirements.
  • Experience with distributed training, large-scale inference, and AI infrastructure.
  • Contributions to open-source AI projects or published technical research.

Responsibilities

  • Lead the architecture and technical direction for enterprise AI and machine learning solutions.
  • Design, build, and deploy AI applications, LLM-powered products, RAG pipelines, and agent-based systems.
  • Establish best practices for model development, evaluation, deployment, monitoring, and governance.
  • Drive AI platform strategy, scalability, reliability, security, and performance.
  • Partner with cross-functional teams to translate business needs into AI-powered solutions.
  • Evaluate emerging AI technologies and recommend adoption opportunities.
  • Mentor engineers and provide technical leadership across AI initiatives.
  • Ensure AI solutions align with security, privacy, and compliance requirements.

Benefits

  • Great Place to Work certified employer
  • supportive and inclusive environment
  • teamwork and innovation
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