Director, AI Platform – Transformation

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $218k - $284k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

iRhythm Technologies, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

iRhythm Technologies, Inc. is a medical technology company that specializes in digital healthcare solutions for the management of cardiac arrhythmias. The company is best known for its ZioSuite, a comprehensive platform designed to deliver a streamlined solution for assessing heart health through advanced analytics and patient-centered data collection. iRhythm focuses on improving patient outcomes and optimizing the efficiency of healthcare providers through innovative technology in the cardiac monitoring space.

📋 Description

• 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, LLMs, RAG, 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

🎯 Requirements

• 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 • 4+ years of experience building AI and generative AI systems, including developing AI models, fine-tuning LLMs, evaluating model quality, deploying and productionizing LLM applications, and monitoring them in enterprise environments • 3+ years of hands-on experience building AI applications and platforms using LLMs, LangChain, LangGraph, RAG, workflow orchestration, MLflow, and AWS Bedrock • 3+ years of experience as the owner of an applied AI product domain • Hands-on experience deploying and operating AI systems using vLLM, Ray, Model Context Protocol (MCP), and Langfuse • 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 • 12 years of experience working in and with Technology Organizations • 5 years in a leadership role • Excellent executive communication, cross-functional leadership, and judgment in regulated or high-consequence environments • Bachelor’s degree in a related field or equivalent practical experience • 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

🏖️ Benefits

• Reasonable accommodations for qualified individuals with disabilities in job application procedures • Inclusive workforce and equal opportunity employment