I

iRhythm Technologies

Wearable cardiac monitoring with data analysis

Director – AI Platform & Transformation

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USA$218k - $284k

About the Job

Requirements

  • At least 7 years of experience building and scaling AI software products serving audiences ranging from thousands to millions of users.
  • Experience designing and operating large-scale machine learning infrastructure, including autoscaling, reliability, and production performance optimization.
  • At least 4 years of experience building AI and generative AI systems, including developing AI models, fine-tuning large language models, evaluating model quality, deploying and productionizing large language model applications, and monitoring them in enterprise environments.
  • At least 3 years of hands-on experience building AI applications and platforms using large language models, LangChain, LangGraph, retrieval-augmented generation, workflow orchestration, MLflow, and AWS Bedrock.
  • At least 3 years of experience owning an applied AI product domain, such as real-world data, agentic environments, evaluation, or multimodal and multilingual machine learning, and driving significant business outcomes.
  • Hands-on experience deploying and operating AI systems using vLLM, Ray, the Model Context Protocol, and Langfuse.
  • At least 7 years of professional experience with Python and strong experience with PySpark, Spark Structured Streaming, PyTorch, Scala, and FastAPI.
  • Demonstrated experience building AI products that support healthcare decision-making.
  • Demonstrated experience building AI platforms for healthcare clients or within the healthcare industry.
  • Professional experience with Databricks or Snowflake.
  • At least 12 years of experience working in and with technology organizations, including 5 years in a leadership role.
  • Bachelor’s degree in a related field or equivalent practical experience.
  • Excellent executive communication, cross-functional leadership, and judgment in regulated or high-consequence environments.

Responsibilities

  • Define the AI platform and transformation roadmap, aligned to business priorities and measurable outcomes.
  • Prioritize AI opportunities across Clinical Operations, Commercial, Finance, Customer Care, Manufacturing, Quality, R&D, and enterprise functions.
  • Lead initiatives from discovery through production launch, adoption, and continuous improvement.
  • Architect and scale AI applications and platforms using generative AI, large language models, retrieval-augmented generation, agents, workflow orchestration, and model evaluation.
  • Partner with Data Platform and Engineering to make governed data products, semantic definitions, metadata, lineage, and data quality usable by AI systems.
  • Establish standards for reliability, autoscaling, performance, security, privacy, testing, monitoring, observability, incident response, lifecycle management, and cost control.
  • Build business cases, value-realization plans, governance playbooks, and executive reporting.
  • Lead and grow teams and strategic vendor partnerships while driving AI literacy and adoption across the organization.

Desired Qualifications

  • Technology environment includes Glean, large language models, LangChain, LangGraph, retrieval-augmented generation, workflow orchestration, model evaluation, MLflow, AWS Bedrock, vLLM, Ray, the Model Context Protocol, Langfuse, prompt management, guardrails, and human-in-the-loop workflows; experience with every named technology is not required.
  • Technology environment includes Snowflake, Snowflake Cortex, Databricks, PySpark, Spark Structured Streaming, PyTorch, Scala, FastAPI, semantic views, governed data products, Tableau, Retool, data quality, metadata, cataloging, and lineage.
  • Technology environment includes AWS, Azure, APIs, CI/CD, observability, Alation, OAuth/SSO, and integrations with Jira, Confluence, GitLab, Salesforce, QAD, Workday, Microsoft 365, SharePoint, and Teams.
  • PhD in computer science, mathematics, software engineering, or a related technical field; preferred but not required.
  • Familiarity with HIPAA, FDA-regulated environments, SOX, GDPR, or comparable frameworks.
  • Experience establishing AI governance, responsible-AI reviews, enterprise standards, or AI literacy programs.
  • Experience with strategic vendors, implementation partners, and complex build-versus-buy decisions.

About the Company

iRhythm Technologies

Wearable cardiac monitoring with data analysis

iRhythm Technologies develops cardiac monitoring technology, led by the Zio Patch wearable for up to 14 days of continuous heart-rhythm tracking. The patch is worn by a patient to collect long-term data, which is then analyzed by iRhythm’s services to provide diagnostic insights to healthcare providers without requiring frequent in-person visits. Compared with competitors, it combines extended, non-intrusive monitoring with integrated data analysis to streamline clinician workflows and support telehealth, selling both devices and analysis services to providers. The goal is to improve detection of arrhythmias, enhance diagnostic accuracy, and make patient care and clinician workflows more efficient through scalable wearable monitoring and interpretation of the collected data.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2006

Recently Posted Jobs

Explore more opportunities at iRhythm Technologies

See more jobs