Director of AI/ML Eng. — Remote Multi-Agent Systems

Ellkay, Llc

New Jersey, United States, Northern America, Americas

Hybrid

USD 180.000 - 230.000

Vollzeit

Vor 13 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Remote work options
Medical, Dental, Vision benefits
401k with matching
Generous PTO
Hybrid work environment

Zusammenfassung

Ellkay, LLC in the United States is seeking a Director of AI/ML Engineering to lead a top-tier team and own the architecture of autonomous agentic AI systems in healthcare environments. You will partner with Product Management to translate goals into scalable technical strategies, drive multi-agent orchestration, and build production-ready ML platforms across data pipelines and cloud infrastructure.

This role emphasizes leadership, execution, and collaboration with security, enterprise

Qualifikationen

  • 12+ years of software engineering and ML experience.
  • At least 4+ years in engineering leadership.
  • Hands-on with agentic workflows and multi-agent frameworks.
  • Experience in production AI/ML systems within healthcare.

Aufgaben

  • Define product scope and multi-agent technical roadmaps.
  • Oversee end-to-end multi-agent coordination and tool pipelines.
  • Lead architecture across data pipelines, microservices, and AWS CDK.
  • Mentor teams and ensure compliance with HIPAA and data governance.

Kenntnisse

Software Engineering
Machine Learning
Leadership
Distributed Systems
Cloud AWS
LLM/Agent Tech
MLOps
Effective Communication

Ausbildung

Bachelor's or Master's in CS/ML/EE

Tools

LangGraph
AutoGen
Bedrock Agents
LangSmith
Arize
CloudFormation / AWS CDK
Docker
ECS Fargate / Lambda

Jobbeschreibung

Ellkay, LLC in the United States is seeking a Director of AI/ML Engineering to lead a top-tier team and own the architecture of autonomous agentic AI systems in healthcare environments. You will partner with Product Management to translate goals into scalable technical strategies, drive multi-agent orchestration, and build production-ready ML platforms across data pipelines and cloud infrastructure.

This role emphasizes leadership, execution, and collaboration with security, enterprise

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