[Hiring] Director, AI Platform & Transformation @iRhythm Technologies, Inc.

Role Description

The Director, AI Platform & Transformation will lead iRhythm’s enterprise AI strategy across platform, technology, business transformation, and adoption. This role will move AI from experimentation into secure, scalable, measurable production use.

• 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.

Qualifications

• 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, such as real-world data, agentic environments, evaluation, or multimodal and multilingual ML, where you drove significant business outcomes.
• Hands-on experience deploying and operating AI systems using vLLM, Ray, the 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.

Requirements

• PhD in computer science, mathematics, software engineering, or a related technical field. This is 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.

Benefits

• Remote within the United States.
• Estimated Pay Range: $218,000.00 - $284,000.00.