Staff AI Platform Architect & Tech Leader

Lyrahealth

United States

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Lyra Health is seeking a Staff ML/AI Engineer to define and drive the architectural vision for Lyra’s machine learning and generative AI technology landscape. In this role you will serve as a technical anchor across engineering and data organizations—architecting enterprise-scale AI platforms, setting strategy for high-impact AI/ML initiatives, and ensuring reliability, security, and medical precision.

The ideal candidate translates healthcare challenges into scalable platform solutions, builds

Qualifications

  • 8+ years deploying ML/AI into production with leadership experience.
  • Strong Python and modern API design (REST/Protobuf) skills.
  • Hands-on with Docker, Kubernetes and scalable microservices.
  • Experience building RAG pipelines, LLM fine-tuning, and vector DBs.

Responsibilities

  • Architect and drive the long-term AI platform roadmap.
  • Lead end-to-end AI infrastructure for training, fine-tuning, and inference.
  • Set SDLC standards for data lineage, CI/CD, evaluation and monitoring.
  • Collaborate with Product, Data Science, Security, and Clinical teams.
  • Mentor Senior ML Engineers and drive architectural reviews.
  • Contribute hands-on coding and prototype critical paths.

Skills

ML/AI leadership
Python
RESTful API design
Protobuf
Microservices
Docker
Kubernetes
RAG pipelines
LLMs fine-tuning
Vector databases

Tools

Docker
Kubernetes
Vector databases
Protobuf
CI/CD pipelines

Job description

Lyra Health is seeking a Staff ML/AI Engineer to define and drive the architectural vision for Lyra’s machine learning and generative AI technology landscape. In this role you will serve as a technical anchor across engineering and data organizations—architecting enterprise-scale AI platforms, setting strategy for high-impact AI/ML initiatives, and ensuring reliability, security, and medical precision.

The ideal candidate translates healthcare challenges into scalable platform solutions, builds

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